Training in progress, step 200, checkpoint
Browse files- checkpoint-200/README.md +202 -0
- checkpoint-200/adapter_config.json +39 -0
- checkpoint-200/adapter_model.safetensors +3 -0
- checkpoint-200/global_step200/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt +3 -0
- checkpoint-200/global_step200/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt +3 -0
- checkpoint-200/global_step200/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt +3 -0
- checkpoint-200/global_step200/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt +3 -0
- checkpoint-200/global_step200/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt +3 -0
- checkpoint-200/global_step200/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt +3 -0
- checkpoint-200/global_step200/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt +3 -0
- checkpoint-200/global_step200/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt +3 -0
- checkpoint-200/global_step200/mp_rank_00_model_states.pt +3 -0
- checkpoint-200/latest +1 -0
- checkpoint-200/rng_state_0.pth +3 -0
- checkpoint-200/rng_state_1.pth +3 -0
- checkpoint-200/rng_state_2.pth +3 -0
- checkpoint-200/rng_state_3.pth +3 -0
- checkpoint-200/rng_state_4.pth +3 -0
- checkpoint-200/rng_state_5.pth +3 -0
- checkpoint-200/rng_state_6.pth +3 -0
- checkpoint-200/rng_state_7.pth +3 -0
- checkpoint-200/scheduler.pt +3 -0
- checkpoint-200/special_tokens_map.json +38 -0
- checkpoint-200/tokenizer.json +0 -0
- checkpoint-200/tokenizer_config.json +2184 -0
- checkpoint-200/trainer_state.json +2033 -0
- checkpoint-200/training_args.bin +3 -0
- checkpoint-200/zero_to_fp32.py +760 -0
checkpoint-200/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: GSAI-ML/LLaDA-8B-Instruct
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.15.1
|
checkpoint-200/adapter_config.json
ADDED
|
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "GSAI-ML/LLaDA-8B-Instruct",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"corda_config": null,
|
| 7 |
+
"eva_config": null,
|
| 8 |
+
"exclude_modules": null,
|
| 9 |
+
"fan_in_fan_out": false,
|
| 10 |
+
"inference_mode": true,
|
| 11 |
+
"init_lora_weights": true,
|
| 12 |
+
"layer_replication": null,
|
| 13 |
+
"layers_pattern": null,
|
| 14 |
+
"layers_to_transform": null,
|
| 15 |
+
"loftq_config": {},
|
| 16 |
+
"lora_alpha": 64,
|
| 17 |
+
"lora_bias": false,
|
| 18 |
+
"lora_dropout": 0.05,
|
| 19 |
+
"megatron_config": null,
|
| 20 |
+
"megatron_core": "megatron.core",
|
| 21 |
+
"modules_to_save": null,
|
| 22 |
+
"peft_type": "LORA",
|
| 23 |
+
"r": 128,
|
| 24 |
+
"rank_pattern": {},
|
| 25 |
+
"revision": null,
|
| 26 |
+
"target_modules": [
|
| 27 |
+
"o_proj",
|
| 28 |
+
"up_proj",
|
| 29 |
+
"gate_proj",
|
| 30 |
+
"k_proj",
|
| 31 |
+
"down_proj",
|
| 32 |
+
"v_proj",
|
| 33 |
+
"q_proj"
|
| 34 |
+
],
|
| 35 |
+
"task_type": "CAUSAL_LM",
|
| 36 |
+
"trainable_token_indices": null,
|
| 37 |
+
"use_dora": false,
|
| 38 |
+
"use_rslora": false
|
| 39 |
+
}
|
checkpoint-200/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a3d4efb7d07b9fedcd31d422066a0e68ff1a3f77186cf4ba0beb698f6df5f14e
|
| 3 |
+
size 335580296
|
checkpoint-200/global_step200/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ea0f6ab5f1e6588c75303ef3f81060f036b74857f54100825e8edc9c93d7a850
|
| 3 |
+
size 251665797
|
checkpoint-200/global_step200/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7c7c982c4e70a3c80ca2e38665f83b5f44ad91ed9341b837551a4cf5da23667f
|
| 3 |
+
size 251665797
|
checkpoint-200/global_step200/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8081effe6322c14d3e70c7fd053bf1ffee317c8944368da273591065034e0ffb
|
| 3 |
+
size 251665797
|
checkpoint-200/global_step200/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d42d3edcb6dbaab6caf5e2ccd435864bb493adf5bb8b560bb34404b5d4e1e77a
|
| 3 |
+
size 251665861
|
checkpoint-200/global_step200/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6995615e51e540526b6e7d44a29e2338d61f2b93dc72fb2c6ce17d2a6f8f9830
|
| 3 |
+
size 251665861
|
checkpoint-200/global_step200/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2982bb2558f035307d65024ad3aee5b1226e832b082ec49d320e911f2045e711
|
| 3 |
+
size 251665861
|
checkpoint-200/global_step200/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:533a8d152bf66e0894ff7789941648154d7015012b9e01365258ed74e00d7890
|
| 3 |
+
size 251665861
|
checkpoint-200/global_step200/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:044e833d455d3e6657ba5f41471ee53326cf84b09dd7399149f917a1dd8516c8
|
| 3 |
+
size 251665861
|
checkpoint-200/global_step200/mp_rank_00_model_states.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5b2c39fb81601a9f23eafac0fde7ade80ef3ab3a0b6bb42bf843b3bf2750ba45
|
| 3 |
+
size 447220134
|
checkpoint-200/latest
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
global_step200
|
checkpoint-200/rng_state_0.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:99e5c549e0caef505cd965e796c7cf3b1c92466ab02e67d5c823380a866218db
|
| 3 |
+
size 16389
|
checkpoint-200/rng_state_1.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e96568eb8163220619dfb7a6015a28aca6218cb0f0b7450f6e88761c4ec6782b
|
| 3 |
+
size 16389
|
checkpoint-200/rng_state_2.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:28866c94bd7980764735c025b28edd8ecdfd6c230918a0f328e2f4360c85ca20
|
| 3 |
+
size 16325
|
checkpoint-200/rng_state_3.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e2aa9b4f131fc779cdfb8cb7d8f007b18d5968136e2aaa090467d30116f73a3a
|
| 3 |
+
size 16325
|
checkpoint-200/rng_state_4.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d70532ec46170f14c74589b96f47d5bc9e8df47e75bd431295676396648cac27
|
| 3 |
+
size 16389
|
checkpoint-200/rng_state_5.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:43ada95516598176819bb9d0e62ddd1b4e85cc12c1acf0b251b49c164c22b973
|
| 3 |
+
size 16325
|
checkpoint-200/rng_state_6.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5dcc533ad9e488c961f8ea1e80dea393702d24beb0a9abd5de870e96615a20bc
|
| 3 |
+
size 16325
|
checkpoint-200/rng_state_7.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:43e7022b7c4417105bdae6eac032bb95de37ebd5a5ef567fdfecd9a8613e373b
|
| 3 |
+
size 16325
|
checkpoint-200/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9aa91156c5c3363084222b9a829c114c05e65d59a7fcc7e609782c7351439aa5
|
| 3 |
+
size 1401
|
checkpoint-200/special_tokens_map.json
ADDED
|
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<role>",
|
| 4 |
+
"</role>",
|
| 5 |
+
"<|arithmetic_start|>",
|
| 6 |
+
"<|arithmetic_end|>",
|
| 7 |
+
"<|number_start|>",
|
| 8 |
+
"<|number_end|>"
|
| 9 |
+
],
|
| 10 |
+
"bos_token": {
|
| 11 |
+
"content": "<|startoftext|>",
|
| 12 |
+
"lstrip": false,
|
| 13 |
+
"normalized": false,
|
| 14 |
+
"rstrip": false,
|
| 15 |
+
"single_word": false
|
| 16 |
+
},
|
| 17 |
+
"cls_token": {
|
| 18 |
+
"content": "[CLS]",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
},
|
| 24 |
+
"eos_token": {
|
| 25 |
+
"content": "<|endoftext|>",
|
| 26 |
+
"lstrip": false,
|
| 27 |
+
"normalized": false,
|
| 28 |
+
"rstrip": false,
|
| 29 |
+
"single_word": false
|
| 30 |
+
},
|
| 31 |
+
"pad_token": {
|
| 32 |
+
"content": "<|endoftext|>",
|
| 33 |
+
"lstrip": false,
|
| 34 |
+
"normalized": false,
|
| 35 |
+
"rstrip": false,
|
| 36 |
+
"single_word": false
|
| 37 |
+
}
|
| 38 |
+
}
|
checkpoint-200/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-200/tokenizer_config.json
ADDED
|
@@ -0,0 +1,2184 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"126080": {
|
| 6 |
+
"content": "<|startoftext|>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"126081": {
|
| 14 |
+
"content": "<|endoftext|>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"126082": {
|
| 22 |
+
"content": "[CLS]",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
},
|
| 29 |
+
"126083": {
|
| 30 |
+
"content": "[gMASK]",
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false,
|
| 35 |
+
"special": true
|
| 36 |
+
},
|
| 37 |
+
"126084": {
|
| 38 |
+
"content": "<|reserved_token_0|>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false,
|
| 43 |
+
"special": true
|
| 44 |
+
},
|
| 45 |
+
"126085": {
|
| 46 |
+
"content": "<|reserved_token_1|>",
|
| 47 |
+
"lstrip": false,
|
| 48 |
+
"normalized": false,
|
| 49 |
+
"rstrip": false,
|
| 50 |
+
"single_word": false,
|
| 51 |
+
"special": true
|
| 52 |
+
},
|
| 53 |
+
"126086": {
|
| 54 |
+
"content": "<|reserved_token_2|>",
|
| 55 |
+
"lstrip": false,
|
| 56 |
+
"normalized": false,
|
| 57 |
+
"rstrip": false,
|
| 58 |
+
"single_word": false,
|
| 59 |
+
"special": true
|
| 60 |
+
},
|
| 61 |
+
"126087": {
|
| 62 |
+
"content": "<|reserved_token_3|>",
|
| 63 |
+
"lstrip": false,
|
| 64 |
+
"normalized": false,
|
| 65 |
+
"rstrip": false,
|
| 66 |
+
"single_word": false,
|
| 67 |
+
"special": true
|
| 68 |
+
},
|
| 69 |
+
"126088": {
|
| 70 |
+
"content": "<|reserved_token_4|>",
|
| 71 |
+
"lstrip": false,
|
| 72 |
+
"normalized": false,
|
| 73 |
+
"rstrip": false,
|
| 74 |
+
"single_word": false,
|
| 75 |
+
"special": true
|
| 76 |
+
},
|
| 77 |
+
"126089": {
|
| 78 |
+
"content": "<|reserved_token_5|>",
|
| 79 |
+
"lstrip": false,
|
| 80 |
+
"normalized": false,
|
| 81 |
+
"rstrip": false,
|
| 82 |
+
"single_word": false,
|
| 83 |
+
"special": true
|
| 84 |
+
},
|
| 85 |
+
"126090": {
|
| 86 |
+
"content": "<|reserved_token_6|>",
|
| 87 |
+
"lstrip": false,
|
| 88 |
+
"normalized": false,
|
| 89 |
+
"rstrip": false,
|
| 90 |
+
"single_word": false,
|
| 91 |
+
"special": true
|
| 92 |
+
},
|
| 93 |
+
"126091": {
|
| 94 |
+
"content": "<|reserved_token_7|>",
|
| 95 |
+
"lstrip": false,
|
| 96 |
+
"normalized": false,
|
| 97 |
+
"rstrip": false,
|
| 98 |
+
"single_word": false,
|
| 99 |
+
"special": true
|
| 100 |
+
},
|
| 101 |
+
"126092": {
|
| 102 |
+
"content": "<|reserved_token_8|>",
|
| 103 |
+
"lstrip": false,
|
| 104 |
+
"normalized": false,
|
| 105 |
+
"rstrip": false,
|
| 106 |
+
"single_word": false,
|
| 107 |
+
"special": true
|
| 108 |
+
},
|
| 109 |
+
"126093": {
|
| 110 |
+
"content": "<|reserved_token_9|>",
|
| 111 |
+
"lstrip": false,
|
| 112 |
+
"normalized": false,
|
| 113 |
+
"rstrip": false,
|
| 114 |
+
"single_word": false,
|
| 115 |
+
"special": true
|
| 116 |
+
},
|
| 117 |
+
"126094": {
|
| 118 |
+
"content": "<|reserved_token_10|>",
|
| 119 |
+
"lstrip": false,
|
| 120 |
+
"normalized": false,
|
| 121 |
+
"rstrip": false,
|
| 122 |
+
"single_word": false,
|
| 123 |
+
"special": true
|
| 124 |
+
},
|
| 125 |
+
"126095": {
|
| 126 |
+
"content": "<|reserved_token_11|>",
|
| 127 |
+
"lstrip": false,
|
| 128 |
+
"normalized": false,
|
| 129 |
+
"rstrip": false,
|
| 130 |
+
"single_word": false,
|
| 131 |
+
"special": true
|
| 132 |
+
},
|
| 133 |
+
"126096": {
|
| 134 |
+
"content": "<|reserved_token_12|>",
|
| 135 |
+
"lstrip": false,
|
| 136 |
+
"normalized": false,
|
| 137 |
+
"rstrip": false,
|
| 138 |
+
"single_word": false,
|
| 139 |
+
"special": true
|
| 140 |
+
},
|
| 141 |
+
"126097": {
|
| 142 |
+
"content": "<|reserved_token_13|>",
|
| 143 |
+
"lstrip": false,
|
| 144 |
+
"normalized": false,
|
| 145 |
+
"rstrip": false,
|
| 146 |
+
"single_word": false,
|
| 147 |
+
"special": true
|
| 148 |
+
},
|
| 149 |
+
"126098": {
|
| 150 |
+
"content": "<|reserved_token_14|>",
|
| 151 |
+
"lstrip": false,
|
| 152 |
+
"normalized": false,
|
| 153 |
+
"rstrip": false,
|
| 154 |
+
"single_word": false,
|
| 155 |
+
"special": true
|
| 156 |
+
},
|
| 157 |
+
"126099": {
|
| 158 |
+
"content": "<|reserved_token_15|>",
|
| 159 |
+
"lstrip": false,
|
| 160 |
+
"normalized": false,
|
| 161 |
+
"rstrip": false,
|
| 162 |
+
"single_word": false,
|
| 163 |
+
"special": true
|
| 164 |
+
},
|
| 165 |
+
"126100": {
|
| 166 |
+
"content": "<|reserved_token_16|>",
|
| 167 |
+
"lstrip": false,
|
| 168 |
+
"normalized": false,
|
| 169 |
+
"rstrip": false,
|
| 170 |
+
"single_word": false,
|
| 171 |
+
"special": true
|
| 172 |
+
},
|
| 173 |
+
"126101": {
|
| 174 |
+
"content": "<|reserved_token_17|>",
|
| 175 |
+
"lstrip": false,
|
| 176 |
+
"normalized": false,
|
| 177 |
+
"rstrip": false,
|
| 178 |
+
"single_word": false,
|
| 179 |
+
"special": true
|
| 180 |
+
},
|
| 181 |
+
"126102": {
|
| 182 |
+
"content": "<|reserved_token_18|>",
|
| 183 |
+
"lstrip": false,
|
| 184 |
+
"normalized": false,
|
| 185 |
+
"rstrip": false,
|
| 186 |
+
"single_word": false,
|
| 187 |
+
"special": true
|
| 188 |
+
},
|
| 189 |
+
"126103": {
|
| 190 |
+
"content": "<|reserved_token_19|>",
|
| 191 |
+
"lstrip": false,
|
| 192 |
+
"normalized": false,
|
| 193 |
+
"rstrip": false,
|
| 194 |
+
"single_word": false,
|
| 195 |
+
"special": true
|
| 196 |
+
},
|
| 197 |
+
"126104": {
|
| 198 |
+
"content": "<|reserved_token_20|>",
|
| 199 |
+
"lstrip": false,
|
| 200 |
+
"normalized": false,
|
| 201 |
+
"rstrip": false,
|
| 202 |
+
"single_word": false,
|
| 203 |
+
"special": true
|
| 204 |
+
},
|
| 205 |
+
"126105": {
|
| 206 |
+
"content": "<|reserved_token_21|>",
|
| 207 |
+
"lstrip": false,
|
| 208 |
+
"normalized": false,
|
| 209 |
+
"rstrip": false,
|
| 210 |
+
"single_word": false,
|
| 211 |
+
"special": true
|
| 212 |
+
},
|
| 213 |
+
"126106": {
|
| 214 |
+
"content": "<|reserved_token_22|>",
|
| 215 |
+
"lstrip": false,
|
| 216 |
+
"normalized": false,
|
| 217 |
+
"rstrip": false,
|
| 218 |
+
"single_word": false,
|
| 219 |
+
"special": true
|
| 220 |
+
},
|
| 221 |
+
"126107": {
|
| 222 |
+
"content": "<|reserved_token_23|>",
|
| 223 |
+
"lstrip": false,
|
| 224 |
+
"normalized": false,
|
| 225 |
+
"rstrip": false,
|
| 226 |
+
"single_word": false,
|
| 227 |
+
"special": true
|
| 228 |
+
},
|
| 229 |
+
"126108": {
|
| 230 |
+
"content": "<|reserved_token_24|>",
|
| 231 |
+
"lstrip": false,
|
| 232 |
+
"normalized": false,
|
| 233 |
+
"rstrip": false,
|
| 234 |
+
"single_word": false,
|
| 235 |
+
"special": true
|
| 236 |
+
},
|
| 237 |
+
"126109": {
|
| 238 |
+
"content": "<|reserved_token_25|>",
|
| 239 |
+
"lstrip": false,
|
| 240 |
+
"normalized": false,
|
| 241 |
+
"rstrip": false,
|
| 242 |
+
"single_word": false,
|
| 243 |
+
"special": true
|
| 244 |
+
},
|
| 245 |
+
"126110": {
|
| 246 |
+
"content": "<|reserved_token_26|>",
|
| 247 |
+
"lstrip": false,
|
| 248 |
+
"normalized": false,
|
| 249 |
+
"rstrip": false,
|
| 250 |
+
"single_word": false,
|
| 251 |
+
"special": true
|
| 252 |
+
},
|
| 253 |
+
"126111": {
|
| 254 |
+
"content": "<|reserved_token_27|>",
|
| 255 |
+
"lstrip": false,
|
| 256 |
+
"normalized": false,
|
| 257 |
+
"rstrip": false,
|
| 258 |
+
"single_word": false,
|
| 259 |
+
"special": true
|
| 260 |
+
},
|
| 261 |
+
"126112": {
|
| 262 |
+
"content": "<|reserved_token_28|>",
|
| 263 |
+
"lstrip": false,
|
| 264 |
+
"normalized": false,
|
| 265 |
+
"rstrip": false,
|
| 266 |
+
"single_word": false,
|
| 267 |
+
"special": true
|
| 268 |
+
},
|
| 269 |
+
"126113": {
|
| 270 |
+
"content": "<|reserved_token_29|>",
|
| 271 |
+
"lstrip": false,
|
| 272 |
+
"normalized": false,
|
| 273 |
+
"rstrip": false,
|
| 274 |
+
"single_word": false,
|
| 275 |
+
"special": true
|
| 276 |
+
},
|
| 277 |
+
"126114": {
|
| 278 |
+
"content": "<|reserved_token_30|>",
|
| 279 |
+
"lstrip": false,
|
| 280 |
+
"normalized": false,
|
| 281 |
+
"rstrip": false,
|
| 282 |
+
"single_word": false,
|
| 283 |
+
"special": true
|
| 284 |
+
},
|
| 285 |
+
"126115": {
|
| 286 |
+
"content": "<|reserved_token_31|>",
|
| 287 |
+
"lstrip": false,
|
| 288 |
+
"normalized": false,
|
| 289 |
+
"rstrip": false,
|
| 290 |
+
"single_word": false,
|
| 291 |
+
"special": true
|
| 292 |
+
},
|
| 293 |
+
"126116": {
|
| 294 |
+
"content": "<|reserved_token_32|>",
|
| 295 |
+
"lstrip": false,
|
| 296 |
+
"normalized": false,
|
| 297 |
+
"rstrip": false,
|
| 298 |
+
"single_word": false,
|
| 299 |
+
"special": true
|
| 300 |
+
},
|
| 301 |
+
"126117": {
|
| 302 |
+
"content": "<|reserved_token_33|>",
|
| 303 |
+
"lstrip": false,
|
| 304 |
+
"normalized": false,
|
| 305 |
+
"rstrip": false,
|
| 306 |
+
"single_word": false,
|
| 307 |
+
"special": true
|
| 308 |
+
},
|
| 309 |
+
"126118": {
|
| 310 |
+
"content": "<|reserved_token_34|>",
|
| 311 |
+
"lstrip": false,
|
| 312 |
+
"normalized": false,
|
| 313 |
+
"rstrip": false,
|
| 314 |
+
"single_word": false,
|
| 315 |
+
"special": true
|
| 316 |
+
},
|
| 317 |
+
"126119": {
|
| 318 |
+
"content": "<|reserved_token_35|>",
|
| 319 |
+
"lstrip": false,
|
| 320 |
+
"normalized": false,
|
| 321 |
+
"rstrip": false,
|
| 322 |
+
"single_word": false,
|
| 323 |
+
"special": true
|
| 324 |
+
},
|
| 325 |
+
"126120": {
|
| 326 |
+
"content": "<|reserved_token_36|>",
|
| 327 |
+
"lstrip": false,
|
| 328 |
+
"normalized": false,
|
| 329 |
+
"rstrip": false,
|
| 330 |
+
"single_word": false,
|
| 331 |
+
"special": true
|
| 332 |
+
},
|
| 333 |
+
"126121": {
|
| 334 |
+
"content": "<|reserved_token_37|>",
|
| 335 |
+
"lstrip": false,
|
| 336 |
+
"normalized": false,
|
| 337 |
+
"rstrip": false,
|
| 338 |
+
"single_word": false,
|
| 339 |
+
"special": true
|
| 340 |
+
},
|
| 341 |
+
"126122": {
|
| 342 |
+
"content": "<|reserved_token_38|>",
|
| 343 |
+
"lstrip": false,
|
| 344 |
+
"normalized": false,
|
| 345 |
+
"rstrip": false,
|
| 346 |
+
"single_word": false,
|
| 347 |
+
"special": true
|
| 348 |
+
},
|
| 349 |
+
"126123": {
|
| 350 |
+
"content": "<|reserved_token_39|>",
|
| 351 |
+
"lstrip": false,
|
| 352 |
+
"normalized": false,
|
| 353 |
+
"rstrip": false,
|
| 354 |
+
"single_word": false,
|
| 355 |
+
"special": true
|
| 356 |
+
},
|
| 357 |
+
"126124": {
|
| 358 |
+
"content": "<|reserved_token_40|>",
|
| 359 |
+
"lstrip": false,
|
| 360 |
+
"normalized": false,
|
| 361 |
+
"rstrip": false,
|
| 362 |
+
"single_word": false,
|
| 363 |
+
"special": true
|
| 364 |
+
},
|
| 365 |
+
"126125": {
|
| 366 |
+
"content": "<|reserved_token_41|>",
|
| 367 |
+
"lstrip": false,
|
| 368 |
+
"normalized": false,
|
| 369 |
+
"rstrip": false,
|
| 370 |
+
"single_word": false,
|
| 371 |
+
"special": true
|
| 372 |
+
},
|
| 373 |
+
"126126": {
|
| 374 |
+
"content": "<|reserved_token_42|>",
|
| 375 |
+
"lstrip": false,
|
| 376 |
+
"normalized": false,
|
| 377 |
+
"rstrip": false,
|
| 378 |
+
"single_word": false,
|
| 379 |
+
"special": true
|
| 380 |
+
},
|
| 381 |
+
"126127": {
|
| 382 |
+
"content": "<|reserved_token_43|>",
|
| 383 |
+
"lstrip": false,
|
| 384 |
+
"normalized": false,
|
| 385 |
+
"rstrip": false,
|
| 386 |
+
"single_word": false,
|
| 387 |
+
"special": true
|
| 388 |
+
},
|
| 389 |
+
"126128": {
|
| 390 |
+
"content": "<|reserved_token_44|>",
|
| 391 |
+
"lstrip": false,
|
| 392 |
+
"normalized": false,
|
| 393 |
+
"rstrip": false,
|
| 394 |
+
"single_word": false,
|
| 395 |
+
"special": true
|
| 396 |
+
},
|
| 397 |
+
"126129": {
|
| 398 |
+
"content": "<|reserved_token_45|>",
|
| 399 |
+
"lstrip": false,
|
| 400 |
+
"normalized": false,
|
| 401 |
+
"rstrip": false,
|
| 402 |
+
"single_word": false,
|
| 403 |
+
"special": true
|
| 404 |
+
},
|
| 405 |
+
"126130": {
|
| 406 |
+
"content": "<|reserved_token_46|>",
|
| 407 |
+
"lstrip": false,
|
| 408 |
+
"normalized": false,
|
| 409 |
+
"rstrip": false,
|
| 410 |
+
"single_word": false,
|
| 411 |
+
"special": true
|
| 412 |
+
},
|
| 413 |
+
"126131": {
|
| 414 |
+
"content": "<|reserved_token_47|>",
|
| 415 |
+
"lstrip": false,
|
| 416 |
+
"normalized": false,
|
| 417 |
+
"rstrip": false,
|
| 418 |
+
"single_word": false,
|
| 419 |
+
"special": true
|
| 420 |
+
},
|
| 421 |
+
"126132": {
|
| 422 |
+
"content": "<|reserved_token_48|>",
|
| 423 |
+
"lstrip": false,
|
| 424 |
+
"normalized": false,
|
| 425 |
+
"rstrip": false,
|
| 426 |
+
"single_word": false,
|
| 427 |
+
"special": true
|
| 428 |
+
},
|
| 429 |
+
"126133": {
|
| 430 |
+
"content": "<|reserved_token_49|>",
|
| 431 |
+
"lstrip": false,
|
| 432 |
+
"normalized": false,
|
| 433 |
+
"rstrip": false,
|
| 434 |
+
"single_word": false,
|
| 435 |
+
"special": true
|
| 436 |
+
},
|
| 437 |
+
"126134": {
|
| 438 |
+
"content": "<|reserved_token_50|>",
|
| 439 |
+
"lstrip": false,
|
| 440 |
+
"normalized": false,
|
| 441 |
+
"rstrip": false,
|
| 442 |
+
"single_word": false,
|
| 443 |
+
"special": true
|
| 444 |
+
},
|
| 445 |
+
"126135": {
|
| 446 |
+
"content": "<|reserved_token_51|>",
|
| 447 |
+
"lstrip": false,
|
| 448 |
+
"normalized": false,
|
| 449 |
+
"rstrip": false,
|
| 450 |
+
"single_word": false,
|
| 451 |
+
"special": true
|
| 452 |
+
},
|
| 453 |
+
"126136": {
|
| 454 |
+
"content": "<|reserved_token_52|>",
|
| 455 |
+
"lstrip": false,
|
| 456 |
+
"normalized": false,
|
| 457 |
+
"rstrip": false,
|
| 458 |
+
"single_word": false,
|
| 459 |
+
"special": true
|
| 460 |
+
},
|
| 461 |
+
"126137": {
|
| 462 |
+
"content": "<|reserved_token_53|>",
|
| 463 |
+
"lstrip": false,
|
| 464 |
+
"normalized": false,
|
| 465 |
+
"rstrip": false,
|
| 466 |
+
"single_word": false,
|
| 467 |
+
"special": true
|
| 468 |
+
},
|
| 469 |
+
"126138": {
|
| 470 |
+
"content": "<|reserved_token_54|>",
|
| 471 |
+
"lstrip": false,
|
| 472 |
+
"normalized": false,
|
| 473 |
+
"rstrip": false,
|
| 474 |
+
"single_word": false,
|
| 475 |
+
"special": true
|
| 476 |
+
},
|
| 477 |
+
"126139": {
|
| 478 |
+
"content": "<|reserved_token_55|>",
|
| 479 |
+
"lstrip": false,
|
| 480 |
+
"normalized": false,
|
| 481 |
+
"rstrip": false,
|
| 482 |
+
"single_word": false,
|
| 483 |
+
"special": true
|
| 484 |
+
},
|
| 485 |
+
"126140": {
|
| 486 |
+
"content": "<|reserved_token_56|>",
|
| 487 |
+
"lstrip": false,
|
| 488 |
+
"normalized": false,
|
| 489 |
+
"rstrip": false,
|
| 490 |
+
"single_word": false,
|
| 491 |
+
"special": true
|
| 492 |
+
},
|
| 493 |
+
"126141": {
|
| 494 |
+
"content": "<|reserved_token_57|>",
|
| 495 |
+
"lstrip": false,
|
| 496 |
+
"normalized": false,
|
| 497 |
+
"rstrip": false,
|
| 498 |
+
"single_word": false,
|
| 499 |
+
"special": true
|
| 500 |
+
},
|
| 501 |
+
"126142": {
|
| 502 |
+
"content": "<|reserved_token_58|>",
|
| 503 |
+
"lstrip": false,
|
| 504 |
+
"normalized": false,
|
| 505 |
+
"rstrip": false,
|
| 506 |
+
"single_word": false,
|
| 507 |
+
"special": true
|
| 508 |
+
},
|
| 509 |
+
"126143": {
|
| 510 |
+
"content": "<|reserved_token_59|>",
|
| 511 |
+
"lstrip": false,
|
| 512 |
+
"normalized": false,
|
| 513 |
+
"rstrip": false,
|
| 514 |
+
"single_word": false,
|
| 515 |
+
"special": true
|
| 516 |
+
},
|
| 517 |
+
"126144": {
|
| 518 |
+
"content": "<|reserved_token_60|>",
|
| 519 |
+
"lstrip": false,
|
| 520 |
+
"normalized": false,
|
| 521 |
+
"rstrip": false,
|
| 522 |
+
"single_word": false,
|
| 523 |
+
"special": true
|
| 524 |
+
},
|
| 525 |
+
"126145": {
|
| 526 |
+
"content": "<|reserved_token_61|>",
|
| 527 |
+
"lstrip": false,
|
| 528 |
+
"normalized": false,
|
| 529 |
+
"rstrip": false,
|
| 530 |
+
"single_word": false,
|
| 531 |
+
"special": true
|
| 532 |
+
},
|
| 533 |
+
"126146": {
|
| 534 |
+
"content": "<|reserved_token_62|>",
|
| 535 |
+
"lstrip": false,
|
| 536 |
+
"normalized": false,
|
| 537 |
+
"rstrip": false,
|
| 538 |
+
"single_word": false,
|
| 539 |
+
"special": true
|
| 540 |
+
},
|
| 541 |
+
"126147": {
|
| 542 |
+
"content": "<|reserved_token_63|>",
|
| 543 |
+
"lstrip": false,
|
| 544 |
+
"normalized": false,
|
| 545 |
+
"rstrip": false,
|
| 546 |
+
"single_word": false,
|
| 547 |
+
"special": true
|
| 548 |
+
},
|
| 549 |
+
"126148": {
|
| 550 |
+
"content": "<|reserved_token_64|>",
|
| 551 |
+
"lstrip": false,
|
| 552 |
+
"normalized": false,
|
| 553 |
+
"rstrip": false,
|
| 554 |
+
"single_word": false,
|
| 555 |
+
"special": true
|
| 556 |
+
},
|
| 557 |
+
"126149": {
|
| 558 |
+
"content": "<|reserved_token_65|>",
|
| 559 |
+
"lstrip": false,
|
| 560 |
+
"normalized": false,
|
| 561 |
+
"rstrip": false,
|
| 562 |
+
"single_word": false,
|
| 563 |
+
"special": true
|
| 564 |
+
},
|
| 565 |
+
"126150": {
|
| 566 |
+
"content": "<|reserved_token_66|>",
|
| 567 |
+
"lstrip": false,
|
| 568 |
+
"normalized": false,
|
| 569 |
+
"rstrip": false,
|
| 570 |
+
"single_word": false,
|
| 571 |
+
"special": true
|
| 572 |
+
},
|
| 573 |
+
"126151": {
|
| 574 |
+
"content": "<|reserved_token_67|>",
|
| 575 |
+
"lstrip": false,
|
| 576 |
+
"normalized": false,
|
| 577 |
+
"rstrip": false,
|
| 578 |
+
"single_word": false,
|
| 579 |
+
"special": true
|
| 580 |
+
},
|
| 581 |
+
"126152": {
|
| 582 |
+
"content": "<|reserved_token_68|>",
|
| 583 |
+
"lstrip": false,
|
| 584 |
+
"normalized": false,
|
| 585 |
+
"rstrip": false,
|
| 586 |
+
"single_word": false,
|
| 587 |
+
"special": true
|
| 588 |
+
},
|
| 589 |
+
"126153": {
|
| 590 |
+
"content": "<|reserved_token_69|>",
|
| 591 |
+
"lstrip": false,
|
| 592 |
+
"normalized": false,
|
| 593 |
+
"rstrip": false,
|
| 594 |
+
"single_word": false,
|
| 595 |
+
"special": true
|
| 596 |
+
},
|
| 597 |
+
"126154": {
|
| 598 |
+
"content": "<|reserved_token_70|>",
|
| 599 |
+
"lstrip": false,
|
| 600 |
+
"normalized": false,
|
| 601 |
+
"rstrip": false,
|
| 602 |
+
"single_word": false,
|
| 603 |
+
"special": true
|
| 604 |
+
},
|
| 605 |
+
"126155": {
|
| 606 |
+
"content": "<|reserved_token_71|>",
|
| 607 |
+
"lstrip": false,
|
| 608 |
+
"normalized": false,
|
| 609 |
+
"rstrip": false,
|
| 610 |
+
"single_word": false,
|
| 611 |
+
"special": true
|
| 612 |
+
},
|
| 613 |
+
"126156": {
|
| 614 |
+
"content": "<|reserved_token_72|>",
|
| 615 |
+
"lstrip": false,
|
| 616 |
+
"normalized": false,
|
| 617 |
+
"rstrip": false,
|
| 618 |
+
"single_word": false,
|
| 619 |
+
"special": true
|
| 620 |
+
},
|
| 621 |
+
"126157": {
|
| 622 |
+
"content": "<|reserved_token_73|>",
|
| 623 |
+
"lstrip": false,
|
| 624 |
+
"normalized": false,
|
| 625 |
+
"rstrip": false,
|
| 626 |
+
"single_word": false,
|
| 627 |
+
"special": true
|
| 628 |
+
},
|
| 629 |
+
"126158": {
|
| 630 |
+
"content": "<|reserved_token_74|>",
|
| 631 |
+
"lstrip": false,
|
| 632 |
+
"normalized": false,
|
| 633 |
+
"rstrip": false,
|
| 634 |
+
"single_word": false,
|
| 635 |
+
"special": true
|
| 636 |
+
},
|
| 637 |
+
"126159": {
|
| 638 |
+
"content": "<|reserved_token_75|>",
|
| 639 |
+
"lstrip": false,
|
| 640 |
+
"normalized": false,
|
| 641 |
+
"rstrip": false,
|
| 642 |
+
"single_word": false,
|
| 643 |
+
"special": true
|
| 644 |
+
},
|
| 645 |
+
"126160": {
|
| 646 |
+
"content": "<|reserved_token_76|>",
|
| 647 |
+
"lstrip": false,
|
| 648 |
+
"normalized": false,
|
| 649 |
+
"rstrip": false,
|
| 650 |
+
"single_word": false,
|
| 651 |
+
"special": true
|
| 652 |
+
},
|
| 653 |
+
"126161": {
|
| 654 |
+
"content": "<|reserved_token_77|>",
|
| 655 |
+
"lstrip": false,
|
| 656 |
+
"normalized": false,
|
| 657 |
+
"rstrip": false,
|
| 658 |
+
"single_word": false,
|
| 659 |
+
"special": true
|
| 660 |
+
},
|
| 661 |
+
"126162": {
|
| 662 |
+
"content": "<|reserved_token_78|>",
|
| 663 |
+
"lstrip": false,
|
| 664 |
+
"normalized": false,
|
| 665 |
+
"rstrip": false,
|
| 666 |
+
"single_word": false,
|
| 667 |
+
"special": true
|
| 668 |
+
},
|
| 669 |
+
"126163": {
|
| 670 |
+
"content": "<|reserved_token_79|>",
|
| 671 |
+
"lstrip": false,
|
| 672 |
+
"normalized": false,
|
| 673 |
+
"rstrip": false,
|
| 674 |
+
"single_word": false,
|
| 675 |
+
"special": true
|
| 676 |
+
},
|
| 677 |
+
"126164": {
|
| 678 |
+
"content": "<|reserved_token_80|>",
|
| 679 |
+
"lstrip": false,
|
| 680 |
+
"normalized": false,
|
| 681 |
+
"rstrip": false,
|
| 682 |
+
"single_word": false,
|
| 683 |
+
"special": true
|
| 684 |
+
},
|
| 685 |
+
"126165": {
|
| 686 |
+
"content": "<|reserved_token_81|>",
|
| 687 |
+
"lstrip": false,
|
| 688 |
+
"normalized": false,
|
| 689 |
+
"rstrip": false,
|
| 690 |
+
"single_word": false,
|
| 691 |
+
"special": true
|
| 692 |
+
},
|
| 693 |
+
"126166": {
|
| 694 |
+
"content": "<|reserved_token_82|>",
|
| 695 |
+
"lstrip": false,
|
| 696 |
+
"normalized": false,
|
| 697 |
+
"rstrip": false,
|
| 698 |
+
"single_word": false,
|
| 699 |
+
"special": true
|
| 700 |
+
},
|
| 701 |
+
"126167": {
|
| 702 |
+
"content": "<|reserved_token_83|>",
|
| 703 |
+
"lstrip": false,
|
| 704 |
+
"normalized": false,
|
| 705 |
+
"rstrip": false,
|
| 706 |
+
"single_word": false,
|
| 707 |
+
"special": true
|
| 708 |
+
},
|
| 709 |
+
"126168": {
|
| 710 |
+
"content": "<|reserved_token_84|>",
|
| 711 |
+
"lstrip": false,
|
| 712 |
+
"normalized": false,
|
| 713 |
+
"rstrip": false,
|
| 714 |
+
"single_word": false,
|
| 715 |
+
"special": true
|
| 716 |
+
},
|
| 717 |
+
"126169": {
|
| 718 |
+
"content": "<|reserved_token_85|>",
|
| 719 |
+
"lstrip": false,
|
| 720 |
+
"normalized": false,
|
| 721 |
+
"rstrip": false,
|
| 722 |
+
"single_word": false,
|
| 723 |
+
"special": true
|
| 724 |
+
},
|
| 725 |
+
"126170": {
|
| 726 |
+
"content": "<|reserved_token_86|>",
|
| 727 |
+
"lstrip": false,
|
| 728 |
+
"normalized": false,
|
| 729 |
+
"rstrip": false,
|
| 730 |
+
"single_word": false,
|
| 731 |
+
"special": true
|
| 732 |
+
},
|
| 733 |
+
"126171": {
|
| 734 |
+
"content": "<|reserved_token_87|>",
|
| 735 |
+
"lstrip": false,
|
| 736 |
+
"normalized": false,
|
| 737 |
+
"rstrip": false,
|
| 738 |
+
"single_word": false,
|
| 739 |
+
"special": true
|
| 740 |
+
},
|
| 741 |
+
"126172": {
|
| 742 |
+
"content": "<|reserved_token_88|>",
|
| 743 |
+
"lstrip": false,
|
| 744 |
+
"normalized": false,
|
| 745 |
+
"rstrip": false,
|
| 746 |
+
"single_word": false,
|
| 747 |
+
"special": true
|
| 748 |
+
},
|
| 749 |
+
"126173": {
|
| 750 |
+
"content": "<|reserved_token_89|>",
|
| 751 |
+
"lstrip": false,
|
| 752 |
+
"normalized": false,
|
| 753 |
+
"rstrip": false,
|
| 754 |
+
"single_word": false,
|
| 755 |
+
"special": true
|
| 756 |
+
},
|
| 757 |
+
"126174": {
|
| 758 |
+
"content": "<|reserved_token_90|>",
|
| 759 |
+
"lstrip": false,
|
| 760 |
+
"normalized": false,
|
| 761 |
+
"rstrip": false,
|
| 762 |
+
"single_word": false,
|
| 763 |
+
"special": true
|
| 764 |
+
},
|
| 765 |
+
"126175": {
|
| 766 |
+
"content": "<|reserved_token_91|>",
|
| 767 |
+
"lstrip": false,
|
| 768 |
+
"normalized": false,
|
| 769 |
+
"rstrip": false,
|
| 770 |
+
"single_word": false,
|
| 771 |
+
"special": true
|
| 772 |
+
},
|
| 773 |
+
"126176": {
|
| 774 |
+
"content": "<|reserved_token_92|>",
|
| 775 |
+
"lstrip": false,
|
| 776 |
+
"normalized": false,
|
| 777 |
+
"rstrip": false,
|
| 778 |
+
"single_word": false,
|
| 779 |
+
"special": true
|
| 780 |
+
},
|
| 781 |
+
"126177": {
|
| 782 |
+
"content": "<|reserved_token_93|>",
|
| 783 |
+
"lstrip": false,
|
| 784 |
+
"normalized": false,
|
| 785 |
+
"rstrip": false,
|
| 786 |
+
"single_word": false,
|
| 787 |
+
"special": true
|
| 788 |
+
},
|
| 789 |
+
"126178": {
|
| 790 |
+
"content": "<|reserved_token_94|>",
|
| 791 |
+
"lstrip": false,
|
| 792 |
+
"normalized": false,
|
| 793 |
+
"rstrip": false,
|
| 794 |
+
"single_word": false,
|
| 795 |
+
"special": true
|
| 796 |
+
},
|
| 797 |
+
"126179": {
|
| 798 |
+
"content": "<|reserved_token_95|>",
|
| 799 |
+
"lstrip": false,
|
| 800 |
+
"normalized": false,
|
| 801 |
+
"rstrip": false,
|
| 802 |
+
"single_word": false,
|
| 803 |
+
"special": true
|
| 804 |
+
},
|
| 805 |
+
"126180": {
|
| 806 |
+
"content": "<|reserved_token_96|>",
|
| 807 |
+
"lstrip": false,
|
| 808 |
+
"normalized": false,
|
| 809 |
+
"rstrip": false,
|
| 810 |
+
"single_word": false,
|
| 811 |
+
"special": true
|
| 812 |
+
},
|
| 813 |
+
"126181": {
|
| 814 |
+
"content": "<|reserved_token_97|>",
|
| 815 |
+
"lstrip": false,
|
| 816 |
+
"normalized": false,
|
| 817 |
+
"rstrip": false,
|
| 818 |
+
"single_word": false,
|
| 819 |
+
"special": true
|
| 820 |
+
},
|
| 821 |
+
"126182": {
|
| 822 |
+
"content": "<|reserved_token_98|>",
|
| 823 |
+
"lstrip": false,
|
| 824 |
+
"normalized": false,
|
| 825 |
+
"rstrip": false,
|
| 826 |
+
"single_word": false,
|
| 827 |
+
"special": true
|
| 828 |
+
},
|
| 829 |
+
"126183": {
|
| 830 |
+
"content": "<|reserved_token_99|>",
|
| 831 |
+
"lstrip": false,
|
| 832 |
+
"normalized": false,
|
| 833 |
+
"rstrip": false,
|
| 834 |
+
"single_word": false,
|
| 835 |
+
"special": true
|
| 836 |
+
},
|
| 837 |
+
"126184": {
|
| 838 |
+
"content": "<|reserved_token_100|>",
|
| 839 |
+
"lstrip": false,
|
| 840 |
+
"normalized": false,
|
| 841 |
+
"rstrip": false,
|
| 842 |
+
"single_word": false,
|
| 843 |
+
"special": true
|
| 844 |
+
},
|
| 845 |
+
"126185": {
|
| 846 |
+
"content": "<|reserved_token_101|>",
|
| 847 |
+
"lstrip": false,
|
| 848 |
+
"normalized": false,
|
| 849 |
+
"rstrip": false,
|
| 850 |
+
"single_word": false,
|
| 851 |
+
"special": true
|
| 852 |
+
},
|
| 853 |
+
"126186": {
|
| 854 |
+
"content": "<|reserved_token_102|>",
|
| 855 |
+
"lstrip": false,
|
| 856 |
+
"normalized": false,
|
| 857 |
+
"rstrip": false,
|
| 858 |
+
"single_word": false,
|
| 859 |
+
"special": true
|
| 860 |
+
},
|
| 861 |
+
"126187": {
|
| 862 |
+
"content": "<|reserved_token_103|>",
|
| 863 |
+
"lstrip": false,
|
| 864 |
+
"normalized": false,
|
| 865 |
+
"rstrip": false,
|
| 866 |
+
"single_word": false,
|
| 867 |
+
"special": true
|
| 868 |
+
},
|
| 869 |
+
"126188": {
|
| 870 |
+
"content": "<|reserved_token_104|>",
|
| 871 |
+
"lstrip": false,
|
| 872 |
+
"normalized": false,
|
| 873 |
+
"rstrip": false,
|
| 874 |
+
"single_word": false,
|
| 875 |
+
"special": true
|
| 876 |
+
},
|
| 877 |
+
"126189": {
|
| 878 |
+
"content": "<|reserved_token_105|>",
|
| 879 |
+
"lstrip": false,
|
| 880 |
+
"normalized": false,
|
| 881 |
+
"rstrip": false,
|
| 882 |
+
"single_word": false,
|
| 883 |
+
"special": true
|
| 884 |
+
},
|
| 885 |
+
"126190": {
|
| 886 |
+
"content": "<|reserved_token_106|>",
|
| 887 |
+
"lstrip": false,
|
| 888 |
+
"normalized": false,
|
| 889 |
+
"rstrip": false,
|
| 890 |
+
"single_word": false,
|
| 891 |
+
"special": true
|
| 892 |
+
},
|
| 893 |
+
"126191": {
|
| 894 |
+
"content": "<|reserved_token_107|>",
|
| 895 |
+
"lstrip": false,
|
| 896 |
+
"normalized": false,
|
| 897 |
+
"rstrip": false,
|
| 898 |
+
"single_word": false,
|
| 899 |
+
"special": true
|
| 900 |
+
},
|
| 901 |
+
"126192": {
|
| 902 |
+
"content": "<|reserved_token_108|>",
|
| 903 |
+
"lstrip": false,
|
| 904 |
+
"normalized": false,
|
| 905 |
+
"rstrip": false,
|
| 906 |
+
"single_word": false,
|
| 907 |
+
"special": true
|
| 908 |
+
},
|
| 909 |
+
"126193": {
|
| 910 |
+
"content": "<|reserved_token_109|>",
|
| 911 |
+
"lstrip": false,
|
| 912 |
+
"normalized": false,
|
| 913 |
+
"rstrip": false,
|
| 914 |
+
"single_word": false,
|
| 915 |
+
"special": true
|
| 916 |
+
},
|
| 917 |
+
"126194": {
|
| 918 |
+
"content": "<|reserved_token_110|>",
|
| 919 |
+
"lstrip": false,
|
| 920 |
+
"normalized": false,
|
| 921 |
+
"rstrip": false,
|
| 922 |
+
"single_word": false,
|
| 923 |
+
"special": true
|
| 924 |
+
},
|
| 925 |
+
"126195": {
|
| 926 |
+
"content": "<|reserved_token_111|>",
|
| 927 |
+
"lstrip": false,
|
| 928 |
+
"normalized": false,
|
| 929 |
+
"rstrip": false,
|
| 930 |
+
"single_word": false,
|
| 931 |
+
"special": true
|
| 932 |
+
},
|
| 933 |
+
"126196": {
|
| 934 |
+
"content": "<|reserved_token_112|>",
|
| 935 |
+
"lstrip": false,
|
| 936 |
+
"normalized": false,
|
| 937 |
+
"rstrip": false,
|
| 938 |
+
"single_word": false,
|
| 939 |
+
"special": true
|
| 940 |
+
},
|
| 941 |
+
"126197": {
|
| 942 |
+
"content": "<|reserved_token_113|>",
|
| 943 |
+
"lstrip": false,
|
| 944 |
+
"normalized": false,
|
| 945 |
+
"rstrip": false,
|
| 946 |
+
"single_word": false,
|
| 947 |
+
"special": true
|
| 948 |
+
},
|
| 949 |
+
"126198": {
|
| 950 |
+
"content": "<|reserved_token_114|>",
|
| 951 |
+
"lstrip": false,
|
| 952 |
+
"normalized": false,
|
| 953 |
+
"rstrip": false,
|
| 954 |
+
"single_word": false,
|
| 955 |
+
"special": true
|
| 956 |
+
},
|
| 957 |
+
"126199": {
|
| 958 |
+
"content": "<|reserved_token_115|>",
|
| 959 |
+
"lstrip": false,
|
| 960 |
+
"normalized": false,
|
| 961 |
+
"rstrip": false,
|
| 962 |
+
"single_word": false,
|
| 963 |
+
"special": true
|
| 964 |
+
},
|
| 965 |
+
"126200": {
|
| 966 |
+
"content": "<|reserved_token_116|>",
|
| 967 |
+
"lstrip": false,
|
| 968 |
+
"normalized": false,
|
| 969 |
+
"rstrip": false,
|
| 970 |
+
"single_word": false,
|
| 971 |
+
"special": true
|
| 972 |
+
},
|
| 973 |
+
"126201": {
|
| 974 |
+
"content": "<|reserved_token_117|>",
|
| 975 |
+
"lstrip": false,
|
| 976 |
+
"normalized": false,
|
| 977 |
+
"rstrip": false,
|
| 978 |
+
"single_word": false,
|
| 979 |
+
"special": true
|
| 980 |
+
},
|
| 981 |
+
"126202": {
|
| 982 |
+
"content": "<|reserved_token_118|>",
|
| 983 |
+
"lstrip": false,
|
| 984 |
+
"normalized": false,
|
| 985 |
+
"rstrip": false,
|
| 986 |
+
"single_word": false,
|
| 987 |
+
"special": true
|
| 988 |
+
},
|
| 989 |
+
"126203": {
|
| 990 |
+
"content": "<|reserved_token_119|>",
|
| 991 |
+
"lstrip": false,
|
| 992 |
+
"normalized": false,
|
| 993 |
+
"rstrip": false,
|
| 994 |
+
"single_word": false,
|
| 995 |
+
"special": true
|
| 996 |
+
},
|
| 997 |
+
"126204": {
|
| 998 |
+
"content": "<|reserved_token_120|>",
|
| 999 |
+
"lstrip": false,
|
| 1000 |
+
"normalized": false,
|
| 1001 |
+
"rstrip": false,
|
| 1002 |
+
"single_word": false,
|
| 1003 |
+
"special": true
|
| 1004 |
+
},
|
| 1005 |
+
"126205": {
|
| 1006 |
+
"content": "<|reserved_token_121|>",
|
| 1007 |
+
"lstrip": false,
|
| 1008 |
+
"normalized": false,
|
| 1009 |
+
"rstrip": false,
|
| 1010 |
+
"single_word": false,
|
| 1011 |
+
"special": true
|
| 1012 |
+
},
|
| 1013 |
+
"126206": {
|
| 1014 |
+
"content": "<|reserved_token_122|>",
|
| 1015 |
+
"lstrip": false,
|
| 1016 |
+
"normalized": false,
|
| 1017 |
+
"rstrip": false,
|
| 1018 |
+
"single_word": false,
|
| 1019 |
+
"special": true
|
| 1020 |
+
},
|
| 1021 |
+
"126207": {
|
| 1022 |
+
"content": "<|reserved_token_123|>",
|
| 1023 |
+
"lstrip": false,
|
| 1024 |
+
"normalized": false,
|
| 1025 |
+
"rstrip": false,
|
| 1026 |
+
"single_word": false,
|
| 1027 |
+
"special": true
|
| 1028 |
+
},
|
| 1029 |
+
"126208": {
|
| 1030 |
+
"content": "<|reserved_token_124|>",
|
| 1031 |
+
"lstrip": false,
|
| 1032 |
+
"normalized": false,
|
| 1033 |
+
"rstrip": false,
|
| 1034 |
+
"single_word": false,
|
| 1035 |
+
"special": true
|
| 1036 |
+
},
|
| 1037 |
+
"126209": {
|
| 1038 |
+
"content": "<|reserved_token_125|>",
|
| 1039 |
+
"lstrip": false,
|
| 1040 |
+
"normalized": false,
|
| 1041 |
+
"rstrip": false,
|
| 1042 |
+
"single_word": false,
|
| 1043 |
+
"special": true
|
| 1044 |
+
},
|
| 1045 |
+
"126210": {
|
| 1046 |
+
"content": "<|reserved_token_126|>",
|
| 1047 |
+
"lstrip": false,
|
| 1048 |
+
"normalized": false,
|
| 1049 |
+
"rstrip": false,
|
| 1050 |
+
"single_word": false,
|
| 1051 |
+
"special": true
|
| 1052 |
+
},
|
| 1053 |
+
"126211": {
|
| 1054 |
+
"content": "<|reserved_token_127|>",
|
| 1055 |
+
"lstrip": false,
|
| 1056 |
+
"normalized": false,
|
| 1057 |
+
"rstrip": false,
|
| 1058 |
+
"single_word": false,
|
| 1059 |
+
"special": true
|
| 1060 |
+
},
|
| 1061 |
+
"126212": {
|
| 1062 |
+
"content": "<|reserved_token_128|>",
|
| 1063 |
+
"lstrip": false,
|
| 1064 |
+
"normalized": false,
|
| 1065 |
+
"rstrip": false,
|
| 1066 |
+
"single_word": false,
|
| 1067 |
+
"special": true
|
| 1068 |
+
},
|
| 1069 |
+
"126213": {
|
| 1070 |
+
"content": "<|reserved_token_129|>",
|
| 1071 |
+
"lstrip": false,
|
| 1072 |
+
"normalized": false,
|
| 1073 |
+
"rstrip": false,
|
| 1074 |
+
"single_word": false,
|
| 1075 |
+
"special": true
|
| 1076 |
+
},
|
| 1077 |
+
"126214": {
|
| 1078 |
+
"content": "<|reserved_token_130|>",
|
| 1079 |
+
"lstrip": false,
|
| 1080 |
+
"normalized": false,
|
| 1081 |
+
"rstrip": false,
|
| 1082 |
+
"single_word": false,
|
| 1083 |
+
"special": true
|
| 1084 |
+
},
|
| 1085 |
+
"126215": {
|
| 1086 |
+
"content": "<|reserved_token_131|>",
|
| 1087 |
+
"lstrip": false,
|
| 1088 |
+
"normalized": false,
|
| 1089 |
+
"rstrip": false,
|
| 1090 |
+
"single_word": false,
|
| 1091 |
+
"special": true
|
| 1092 |
+
},
|
| 1093 |
+
"126216": {
|
| 1094 |
+
"content": "<|reserved_token_132|>",
|
| 1095 |
+
"lstrip": false,
|
| 1096 |
+
"normalized": false,
|
| 1097 |
+
"rstrip": false,
|
| 1098 |
+
"single_word": false,
|
| 1099 |
+
"special": true
|
| 1100 |
+
},
|
| 1101 |
+
"126217": {
|
| 1102 |
+
"content": "<|reserved_token_133|>",
|
| 1103 |
+
"lstrip": false,
|
| 1104 |
+
"normalized": false,
|
| 1105 |
+
"rstrip": false,
|
| 1106 |
+
"single_word": false,
|
| 1107 |
+
"special": true
|
| 1108 |
+
},
|
| 1109 |
+
"126218": {
|
| 1110 |
+
"content": "<|reserved_token_134|>",
|
| 1111 |
+
"lstrip": false,
|
| 1112 |
+
"normalized": false,
|
| 1113 |
+
"rstrip": false,
|
| 1114 |
+
"single_word": false,
|
| 1115 |
+
"special": true
|
| 1116 |
+
},
|
| 1117 |
+
"126219": {
|
| 1118 |
+
"content": "<|reserved_token_135|>",
|
| 1119 |
+
"lstrip": false,
|
| 1120 |
+
"normalized": false,
|
| 1121 |
+
"rstrip": false,
|
| 1122 |
+
"single_word": false,
|
| 1123 |
+
"special": true
|
| 1124 |
+
},
|
| 1125 |
+
"126220": {
|
| 1126 |
+
"content": "<|reserved_token_136|>",
|
| 1127 |
+
"lstrip": false,
|
| 1128 |
+
"normalized": false,
|
| 1129 |
+
"rstrip": false,
|
| 1130 |
+
"single_word": false,
|
| 1131 |
+
"special": true
|
| 1132 |
+
},
|
| 1133 |
+
"126221": {
|
| 1134 |
+
"content": "<|reserved_token_137|>",
|
| 1135 |
+
"lstrip": false,
|
| 1136 |
+
"normalized": false,
|
| 1137 |
+
"rstrip": false,
|
| 1138 |
+
"single_word": false,
|
| 1139 |
+
"special": true
|
| 1140 |
+
},
|
| 1141 |
+
"126222": {
|
| 1142 |
+
"content": "<|reserved_token_138|>",
|
| 1143 |
+
"lstrip": false,
|
| 1144 |
+
"normalized": false,
|
| 1145 |
+
"rstrip": false,
|
| 1146 |
+
"single_word": false,
|
| 1147 |
+
"special": true
|
| 1148 |
+
},
|
| 1149 |
+
"126223": {
|
| 1150 |
+
"content": "<|reserved_token_139|>",
|
| 1151 |
+
"lstrip": false,
|
| 1152 |
+
"normalized": false,
|
| 1153 |
+
"rstrip": false,
|
| 1154 |
+
"single_word": false,
|
| 1155 |
+
"special": true
|
| 1156 |
+
},
|
| 1157 |
+
"126224": {
|
| 1158 |
+
"content": "<|reserved_token_140|>",
|
| 1159 |
+
"lstrip": false,
|
| 1160 |
+
"normalized": false,
|
| 1161 |
+
"rstrip": false,
|
| 1162 |
+
"single_word": false,
|
| 1163 |
+
"special": true
|
| 1164 |
+
},
|
| 1165 |
+
"126225": {
|
| 1166 |
+
"content": "<|reserved_token_141|>",
|
| 1167 |
+
"lstrip": false,
|
| 1168 |
+
"normalized": false,
|
| 1169 |
+
"rstrip": false,
|
| 1170 |
+
"single_word": false,
|
| 1171 |
+
"special": true
|
| 1172 |
+
},
|
| 1173 |
+
"126226": {
|
| 1174 |
+
"content": "<|reserved_token_142|>",
|
| 1175 |
+
"lstrip": false,
|
| 1176 |
+
"normalized": false,
|
| 1177 |
+
"rstrip": false,
|
| 1178 |
+
"single_word": false,
|
| 1179 |
+
"special": true
|
| 1180 |
+
},
|
| 1181 |
+
"126227": {
|
| 1182 |
+
"content": "<|reserved_token_143|>",
|
| 1183 |
+
"lstrip": false,
|
| 1184 |
+
"normalized": false,
|
| 1185 |
+
"rstrip": false,
|
| 1186 |
+
"single_word": false,
|
| 1187 |
+
"special": true
|
| 1188 |
+
},
|
| 1189 |
+
"126228": {
|
| 1190 |
+
"content": "<|reserved_token_144|>",
|
| 1191 |
+
"lstrip": false,
|
| 1192 |
+
"normalized": false,
|
| 1193 |
+
"rstrip": false,
|
| 1194 |
+
"single_word": false,
|
| 1195 |
+
"special": true
|
| 1196 |
+
},
|
| 1197 |
+
"126229": {
|
| 1198 |
+
"content": "<|reserved_token_145|>",
|
| 1199 |
+
"lstrip": false,
|
| 1200 |
+
"normalized": false,
|
| 1201 |
+
"rstrip": false,
|
| 1202 |
+
"single_word": false,
|
| 1203 |
+
"special": true
|
| 1204 |
+
},
|
| 1205 |
+
"126230": {
|
| 1206 |
+
"content": "<|reserved_token_146|>",
|
| 1207 |
+
"lstrip": false,
|
| 1208 |
+
"normalized": false,
|
| 1209 |
+
"rstrip": false,
|
| 1210 |
+
"single_word": false,
|
| 1211 |
+
"special": true
|
| 1212 |
+
},
|
| 1213 |
+
"126231": {
|
| 1214 |
+
"content": "<|reserved_token_147|>",
|
| 1215 |
+
"lstrip": false,
|
| 1216 |
+
"normalized": false,
|
| 1217 |
+
"rstrip": false,
|
| 1218 |
+
"single_word": false,
|
| 1219 |
+
"special": true
|
| 1220 |
+
},
|
| 1221 |
+
"126232": {
|
| 1222 |
+
"content": "<|reserved_token_148|>",
|
| 1223 |
+
"lstrip": false,
|
| 1224 |
+
"normalized": false,
|
| 1225 |
+
"rstrip": false,
|
| 1226 |
+
"single_word": false,
|
| 1227 |
+
"special": true
|
| 1228 |
+
},
|
| 1229 |
+
"126233": {
|
| 1230 |
+
"content": "<|reserved_token_149|>",
|
| 1231 |
+
"lstrip": false,
|
| 1232 |
+
"normalized": false,
|
| 1233 |
+
"rstrip": false,
|
| 1234 |
+
"single_word": false,
|
| 1235 |
+
"special": true
|
| 1236 |
+
},
|
| 1237 |
+
"126234": {
|
| 1238 |
+
"content": "<|reserved_token_150|>",
|
| 1239 |
+
"lstrip": false,
|
| 1240 |
+
"normalized": false,
|
| 1241 |
+
"rstrip": false,
|
| 1242 |
+
"single_word": false,
|
| 1243 |
+
"special": true
|
| 1244 |
+
},
|
| 1245 |
+
"126235": {
|
| 1246 |
+
"content": "<|reserved_token_151|>",
|
| 1247 |
+
"lstrip": false,
|
| 1248 |
+
"normalized": false,
|
| 1249 |
+
"rstrip": false,
|
| 1250 |
+
"single_word": false,
|
| 1251 |
+
"special": true
|
| 1252 |
+
},
|
| 1253 |
+
"126236": {
|
| 1254 |
+
"content": "<|reserved_token_152|>",
|
| 1255 |
+
"lstrip": false,
|
| 1256 |
+
"normalized": false,
|
| 1257 |
+
"rstrip": false,
|
| 1258 |
+
"single_word": false,
|
| 1259 |
+
"special": true
|
| 1260 |
+
},
|
| 1261 |
+
"126237": {
|
| 1262 |
+
"content": "<|reserved_token_153|>",
|
| 1263 |
+
"lstrip": false,
|
| 1264 |
+
"normalized": false,
|
| 1265 |
+
"rstrip": false,
|
| 1266 |
+
"single_word": false,
|
| 1267 |
+
"special": true
|
| 1268 |
+
},
|
| 1269 |
+
"126238": {
|
| 1270 |
+
"content": "<|reserved_token_154|>",
|
| 1271 |
+
"lstrip": false,
|
| 1272 |
+
"normalized": false,
|
| 1273 |
+
"rstrip": false,
|
| 1274 |
+
"single_word": false,
|
| 1275 |
+
"special": true
|
| 1276 |
+
},
|
| 1277 |
+
"126239": {
|
| 1278 |
+
"content": "<|reserved_token_155|>",
|
| 1279 |
+
"lstrip": false,
|
| 1280 |
+
"normalized": false,
|
| 1281 |
+
"rstrip": false,
|
| 1282 |
+
"single_word": false,
|
| 1283 |
+
"special": true
|
| 1284 |
+
},
|
| 1285 |
+
"126240": {
|
| 1286 |
+
"content": "<|reserved_token_156|>",
|
| 1287 |
+
"lstrip": false,
|
| 1288 |
+
"normalized": false,
|
| 1289 |
+
"rstrip": false,
|
| 1290 |
+
"single_word": false,
|
| 1291 |
+
"special": true
|
| 1292 |
+
},
|
| 1293 |
+
"126241": {
|
| 1294 |
+
"content": "<|reserved_token_157|>",
|
| 1295 |
+
"lstrip": false,
|
| 1296 |
+
"normalized": false,
|
| 1297 |
+
"rstrip": false,
|
| 1298 |
+
"single_word": false,
|
| 1299 |
+
"special": true
|
| 1300 |
+
},
|
| 1301 |
+
"126242": {
|
| 1302 |
+
"content": "<|reserved_token_158|>",
|
| 1303 |
+
"lstrip": false,
|
| 1304 |
+
"normalized": false,
|
| 1305 |
+
"rstrip": false,
|
| 1306 |
+
"single_word": false,
|
| 1307 |
+
"special": true
|
| 1308 |
+
},
|
| 1309 |
+
"126243": {
|
| 1310 |
+
"content": "<|reserved_token_159|>",
|
| 1311 |
+
"lstrip": false,
|
| 1312 |
+
"normalized": false,
|
| 1313 |
+
"rstrip": false,
|
| 1314 |
+
"single_word": false,
|
| 1315 |
+
"special": true
|
| 1316 |
+
},
|
| 1317 |
+
"126244": {
|
| 1318 |
+
"content": "<|reserved_token_160|>",
|
| 1319 |
+
"lstrip": false,
|
| 1320 |
+
"normalized": false,
|
| 1321 |
+
"rstrip": false,
|
| 1322 |
+
"single_word": false,
|
| 1323 |
+
"special": true
|
| 1324 |
+
},
|
| 1325 |
+
"126245": {
|
| 1326 |
+
"content": "<|reserved_token_161|>",
|
| 1327 |
+
"lstrip": false,
|
| 1328 |
+
"normalized": false,
|
| 1329 |
+
"rstrip": false,
|
| 1330 |
+
"single_word": false,
|
| 1331 |
+
"special": true
|
| 1332 |
+
},
|
| 1333 |
+
"126246": {
|
| 1334 |
+
"content": "<|reserved_token_162|>",
|
| 1335 |
+
"lstrip": false,
|
| 1336 |
+
"normalized": false,
|
| 1337 |
+
"rstrip": false,
|
| 1338 |
+
"single_word": false,
|
| 1339 |
+
"special": true
|
| 1340 |
+
},
|
| 1341 |
+
"126247": {
|
| 1342 |
+
"content": "<|reserved_token_163|>",
|
| 1343 |
+
"lstrip": false,
|
| 1344 |
+
"normalized": false,
|
| 1345 |
+
"rstrip": false,
|
| 1346 |
+
"single_word": false,
|
| 1347 |
+
"special": true
|
| 1348 |
+
},
|
| 1349 |
+
"126248": {
|
| 1350 |
+
"content": "<|reserved_token_164|>",
|
| 1351 |
+
"lstrip": false,
|
| 1352 |
+
"normalized": false,
|
| 1353 |
+
"rstrip": false,
|
| 1354 |
+
"single_word": false,
|
| 1355 |
+
"special": true
|
| 1356 |
+
},
|
| 1357 |
+
"126249": {
|
| 1358 |
+
"content": "<|reserved_token_165|>",
|
| 1359 |
+
"lstrip": false,
|
| 1360 |
+
"normalized": false,
|
| 1361 |
+
"rstrip": false,
|
| 1362 |
+
"single_word": false,
|
| 1363 |
+
"special": true
|
| 1364 |
+
},
|
| 1365 |
+
"126250": {
|
| 1366 |
+
"content": "<|reserved_token_166|>",
|
| 1367 |
+
"lstrip": false,
|
| 1368 |
+
"normalized": false,
|
| 1369 |
+
"rstrip": false,
|
| 1370 |
+
"single_word": false,
|
| 1371 |
+
"special": true
|
| 1372 |
+
},
|
| 1373 |
+
"126251": {
|
| 1374 |
+
"content": "<|reserved_token_167|>",
|
| 1375 |
+
"lstrip": false,
|
| 1376 |
+
"normalized": false,
|
| 1377 |
+
"rstrip": false,
|
| 1378 |
+
"single_word": false,
|
| 1379 |
+
"special": true
|
| 1380 |
+
},
|
| 1381 |
+
"126252": {
|
| 1382 |
+
"content": "<|reserved_token_168|>",
|
| 1383 |
+
"lstrip": false,
|
| 1384 |
+
"normalized": false,
|
| 1385 |
+
"rstrip": false,
|
| 1386 |
+
"single_word": false,
|
| 1387 |
+
"special": true
|
| 1388 |
+
},
|
| 1389 |
+
"126253": {
|
| 1390 |
+
"content": "<|reserved_token_169|>",
|
| 1391 |
+
"lstrip": false,
|
| 1392 |
+
"normalized": false,
|
| 1393 |
+
"rstrip": false,
|
| 1394 |
+
"single_word": false,
|
| 1395 |
+
"special": true
|
| 1396 |
+
},
|
| 1397 |
+
"126254": {
|
| 1398 |
+
"content": "<|reserved_token_170|>",
|
| 1399 |
+
"lstrip": false,
|
| 1400 |
+
"normalized": false,
|
| 1401 |
+
"rstrip": false,
|
| 1402 |
+
"single_word": false,
|
| 1403 |
+
"special": true
|
| 1404 |
+
},
|
| 1405 |
+
"126255": {
|
| 1406 |
+
"content": "<|reserved_token_171|>",
|
| 1407 |
+
"lstrip": false,
|
| 1408 |
+
"normalized": false,
|
| 1409 |
+
"rstrip": false,
|
| 1410 |
+
"single_word": false,
|
| 1411 |
+
"special": true
|
| 1412 |
+
},
|
| 1413 |
+
"126256": {
|
| 1414 |
+
"content": "<|reserved_token_172|>",
|
| 1415 |
+
"lstrip": false,
|
| 1416 |
+
"normalized": false,
|
| 1417 |
+
"rstrip": false,
|
| 1418 |
+
"single_word": false,
|
| 1419 |
+
"special": true
|
| 1420 |
+
},
|
| 1421 |
+
"126257": {
|
| 1422 |
+
"content": "<|reserved_token_173|>",
|
| 1423 |
+
"lstrip": false,
|
| 1424 |
+
"normalized": false,
|
| 1425 |
+
"rstrip": false,
|
| 1426 |
+
"single_word": false,
|
| 1427 |
+
"special": true
|
| 1428 |
+
},
|
| 1429 |
+
"126258": {
|
| 1430 |
+
"content": "<|reserved_token_174|>",
|
| 1431 |
+
"lstrip": false,
|
| 1432 |
+
"normalized": false,
|
| 1433 |
+
"rstrip": false,
|
| 1434 |
+
"single_word": false,
|
| 1435 |
+
"special": true
|
| 1436 |
+
},
|
| 1437 |
+
"126259": {
|
| 1438 |
+
"content": "<|reserved_token_175|>",
|
| 1439 |
+
"lstrip": false,
|
| 1440 |
+
"normalized": false,
|
| 1441 |
+
"rstrip": false,
|
| 1442 |
+
"single_word": false,
|
| 1443 |
+
"special": true
|
| 1444 |
+
},
|
| 1445 |
+
"126260": {
|
| 1446 |
+
"content": "<|reserved_token_176|>",
|
| 1447 |
+
"lstrip": false,
|
| 1448 |
+
"normalized": false,
|
| 1449 |
+
"rstrip": false,
|
| 1450 |
+
"single_word": false,
|
| 1451 |
+
"special": true
|
| 1452 |
+
},
|
| 1453 |
+
"126261": {
|
| 1454 |
+
"content": "<|reserved_token_177|>",
|
| 1455 |
+
"lstrip": false,
|
| 1456 |
+
"normalized": false,
|
| 1457 |
+
"rstrip": false,
|
| 1458 |
+
"single_word": false,
|
| 1459 |
+
"special": true
|
| 1460 |
+
},
|
| 1461 |
+
"126262": {
|
| 1462 |
+
"content": "<|reserved_token_178|>",
|
| 1463 |
+
"lstrip": false,
|
| 1464 |
+
"normalized": false,
|
| 1465 |
+
"rstrip": false,
|
| 1466 |
+
"single_word": false,
|
| 1467 |
+
"special": true
|
| 1468 |
+
},
|
| 1469 |
+
"126263": {
|
| 1470 |
+
"content": "<|reserved_token_179|>",
|
| 1471 |
+
"lstrip": false,
|
| 1472 |
+
"normalized": false,
|
| 1473 |
+
"rstrip": false,
|
| 1474 |
+
"single_word": false,
|
| 1475 |
+
"special": true
|
| 1476 |
+
},
|
| 1477 |
+
"126264": {
|
| 1478 |
+
"content": "<|reserved_token_180|>",
|
| 1479 |
+
"lstrip": false,
|
| 1480 |
+
"normalized": false,
|
| 1481 |
+
"rstrip": false,
|
| 1482 |
+
"single_word": false,
|
| 1483 |
+
"special": true
|
| 1484 |
+
},
|
| 1485 |
+
"126265": {
|
| 1486 |
+
"content": "<|reserved_token_181|>",
|
| 1487 |
+
"lstrip": false,
|
| 1488 |
+
"normalized": false,
|
| 1489 |
+
"rstrip": false,
|
| 1490 |
+
"single_word": false,
|
| 1491 |
+
"special": true
|
| 1492 |
+
},
|
| 1493 |
+
"126266": {
|
| 1494 |
+
"content": "<|reserved_token_182|>",
|
| 1495 |
+
"lstrip": false,
|
| 1496 |
+
"normalized": false,
|
| 1497 |
+
"rstrip": false,
|
| 1498 |
+
"single_word": false,
|
| 1499 |
+
"special": true
|
| 1500 |
+
},
|
| 1501 |
+
"126267": {
|
| 1502 |
+
"content": "<|reserved_token_183|>",
|
| 1503 |
+
"lstrip": false,
|
| 1504 |
+
"normalized": false,
|
| 1505 |
+
"rstrip": false,
|
| 1506 |
+
"single_word": false,
|
| 1507 |
+
"special": true
|
| 1508 |
+
},
|
| 1509 |
+
"126268": {
|
| 1510 |
+
"content": "<|reserved_token_184|>",
|
| 1511 |
+
"lstrip": false,
|
| 1512 |
+
"normalized": false,
|
| 1513 |
+
"rstrip": false,
|
| 1514 |
+
"single_word": false,
|
| 1515 |
+
"special": true
|
| 1516 |
+
},
|
| 1517 |
+
"126269": {
|
| 1518 |
+
"content": "<|reserved_token_185|>",
|
| 1519 |
+
"lstrip": false,
|
| 1520 |
+
"normalized": false,
|
| 1521 |
+
"rstrip": false,
|
| 1522 |
+
"single_word": false,
|
| 1523 |
+
"special": true
|
| 1524 |
+
},
|
| 1525 |
+
"126270": {
|
| 1526 |
+
"content": "<|reserved_token_186|>",
|
| 1527 |
+
"lstrip": false,
|
| 1528 |
+
"normalized": false,
|
| 1529 |
+
"rstrip": false,
|
| 1530 |
+
"single_word": false,
|
| 1531 |
+
"special": true
|
| 1532 |
+
},
|
| 1533 |
+
"126271": {
|
| 1534 |
+
"content": "<|reserved_token_187|>",
|
| 1535 |
+
"lstrip": false,
|
| 1536 |
+
"normalized": false,
|
| 1537 |
+
"rstrip": false,
|
| 1538 |
+
"single_word": false,
|
| 1539 |
+
"special": true
|
| 1540 |
+
},
|
| 1541 |
+
"126272": {
|
| 1542 |
+
"content": "<|reserved_token_188|>",
|
| 1543 |
+
"lstrip": false,
|
| 1544 |
+
"normalized": false,
|
| 1545 |
+
"rstrip": false,
|
| 1546 |
+
"single_word": false,
|
| 1547 |
+
"special": true
|
| 1548 |
+
},
|
| 1549 |
+
"126273": {
|
| 1550 |
+
"content": "<|reserved_token_189|>",
|
| 1551 |
+
"lstrip": false,
|
| 1552 |
+
"normalized": false,
|
| 1553 |
+
"rstrip": false,
|
| 1554 |
+
"single_word": false,
|
| 1555 |
+
"special": true
|
| 1556 |
+
},
|
| 1557 |
+
"126274": {
|
| 1558 |
+
"content": "<|reserved_token_190|>",
|
| 1559 |
+
"lstrip": false,
|
| 1560 |
+
"normalized": false,
|
| 1561 |
+
"rstrip": false,
|
| 1562 |
+
"single_word": false,
|
| 1563 |
+
"special": true
|
| 1564 |
+
},
|
| 1565 |
+
"126275": {
|
| 1566 |
+
"content": "<|reserved_token_191|>",
|
| 1567 |
+
"lstrip": false,
|
| 1568 |
+
"normalized": false,
|
| 1569 |
+
"rstrip": false,
|
| 1570 |
+
"single_word": false,
|
| 1571 |
+
"special": true
|
| 1572 |
+
},
|
| 1573 |
+
"126276": {
|
| 1574 |
+
"content": "<|reserved_token_192|>",
|
| 1575 |
+
"lstrip": false,
|
| 1576 |
+
"normalized": false,
|
| 1577 |
+
"rstrip": false,
|
| 1578 |
+
"single_word": false,
|
| 1579 |
+
"special": true
|
| 1580 |
+
},
|
| 1581 |
+
"126277": {
|
| 1582 |
+
"content": "<|reserved_token_193|>",
|
| 1583 |
+
"lstrip": false,
|
| 1584 |
+
"normalized": false,
|
| 1585 |
+
"rstrip": false,
|
| 1586 |
+
"single_word": false,
|
| 1587 |
+
"special": true
|
| 1588 |
+
},
|
| 1589 |
+
"126278": {
|
| 1590 |
+
"content": "<|reserved_token_194|>",
|
| 1591 |
+
"lstrip": false,
|
| 1592 |
+
"normalized": false,
|
| 1593 |
+
"rstrip": false,
|
| 1594 |
+
"single_word": false,
|
| 1595 |
+
"special": true
|
| 1596 |
+
},
|
| 1597 |
+
"126279": {
|
| 1598 |
+
"content": "<|reserved_token_195|>",
|
| 1599 |
+
"lstrip": false,
|
| 1600 |
+
"normalized": false,
|
| 1601 |
+
"rstrip": false,
|
| 1602 |
+
"single_word": false,
|
| 1603 |
+
"special": true
|
| 1604 |
+
},
|
| 1605 |
+
"126280": {
|
| 1606 |
+
"content": "<|reserved_token_196|>",
|
| 1607 |
+
"lstrip": false,
|
| 1608 |
+
"normalized": false,
|
| 1609 |
+
"rstrip": false,
|
| 1610 |
+
"single_word": false,
|
| 1611 |
+
"special": true
|
| 1612 |
+
},
|
| 1613 |
+
"126281": {
|
| 1614 |
+
"content": "<|reserved_token_197|>",
|
| 1615 |
+
"lstrip": false,
|
| 1616 |
+
"normalized": false,
|
| 1617 |
+
"rstrip": false,
|
| 1618 |
+
"single_word": false,
|
| 1619 |
+
"special": true
|
| 1620 |
+
},
|
| 1621 |
+
"126282": {
|
| 1622 |
+
"content": "<|reserved_token_198|>",
|
| 1623 |
+
"lstrip": false,
|
| 1624 |
+
"normalized": false,
|
| 1625 |
+
"rstrip": false,
|
| 1626 |
+
"single_word": false,
|
| 1627 |
+
"special": true
|
| 1628 |
+
},
|
| 1629 |
+
"126283": {
|
| 1630 |
+
"content": "<|reserved_token_199|>",
|
| 1631 |
+
"lstrip": false,
|
| 1632 |
+
"normalized": false,
|
| 1633 |
+
"rstrip": false,
|
| 1634 |
+
"single_word": false,
|
| 1635 |
+
"special": true
|
| 1636 |
+
},
|
| 1637 |
+
"126284": {
|
| 1638 |
+
"content": "<|reserved_token_200|>",
|
| 1639 |
+
"lstrip": false,
|
| 1640 |
+
"normalized": false,
|
| 1641 |
+
"rstrip": false,
|
| 1642 |
+
"single_word": false,
|
| 1643 |
+
"special": true
|
| 1644 |
+
},
|
| 1645 |
+
"126285": {
|
| 1646 |
+
"content": "<|reserved_token_201|>",
|
| 1647 |
+
"lstrip": false,
|
| 1648 |
+
"normalized": false,
|
| 1649 |
+
"rstrip": false,
|
| 1650 |
+
"single_word": false,
|
| 1651 |
+
"special": true
|
| 1652 |
+
},
|
| 1653 |
+
"126286": {
|
| 1654 |
+
"content": "<|reserved_token_202|>",
|
| 1655 |
+
"lstrip": false,
|
| 1656 |
+
"normalized": false,
|
| 1657 |
+
"rstrip": false,
|
| 1658 |
+
"single_word": false,
|
| 1659 |
+
"special": true
|
| 1660 |
+
},
|
| 1661 |
+
"126287": {
|
| 1662 |
+
"content": "<|reserved_token_203|>",
|
| 1663 |
+
"lstrip": false,
|
| 1664 |
+
"normalized": false,
|
| 1665 |
+
"rstrip": false,
|
| 1666 |
+
"single_word": false,
|
| 1667 |
+
"special": true
|
| 1668 |
+
},
|
| 1669 |
+
"126288": {
|
| 1670 |
+
"content": "<|reserved_token_204|>",
|
| 1671 |
+
"lstrip": false,
|
| 1672 |
+
"normalized": false,
|
| 1673 |
+
"rstrip": false,
|
| 1674 |
+
"single_word": false,
|
| 1675 |
+
"special": true
|
| 1676 |
+
},
|
| 1677 |
+
"126289": {
|
| 1678 |
+
"content": "<|reserved_token_205|>",
|
| 1679 |
+
"lstrip": false,
|
| 1680 |
+
"normalized": false,
|
| 1681 |
+
"rstrip": false,
|
| 1682 |
+
"single_word": false,
|
| 1683 |
+
"special": true
|
| 1684 |
+
},
|
| 1685 |
+
"126290": {
|
| 1686 |
+
"content": "<|reserved_token_206|>",
|
| 1687 |
+
"lstrip": false,
|
| 1688 |
+
"normalized": false,
|
| 1689 |
+
"rstrip": false,
|
| 1690 |
+
"single_word": false,
|
| 1691 |
+
"special": true
|
| 1692 |
+
},
|
| 1693 |
+
"126291": {
|
| 1694 |
+
"content": "<|reserved_token_207|>",
|
| 1695 |
+
"lstrip": false,
|
| 1696 |
+
"normalized": false,
|
| 1697 |
+
"rstrip": false,
|
| 1698 |
+
"single_word": false,
|
| 1699 |
+
"special": true
|
| 1700 |
+
},
|
| 1701 |
+
"126292": {
|
| 1702 |
+
"content": "<|reserved_token_208|>",
|
| 1703 |
+
"lstrip": false,
|
| 1704 |
+
"normalized": false,
|
| 1705 |
+
"rstrip": false,
|
| 1706 |
+
"single_word": false,
|
| 1707 |
+
"special": true
|
| 1708 |
+
},
|
| 1709 |
+
"126293": {
|
| 1710 |
+
"content": "<|reserved_token_209|>",
|
| 1711 |
+
"lstrip": false,
|
| 1712 |
+
"normalized": false,
|
| 1713 |
+
"rstrip": false,
|
| 1714 |
+
"single_word": false,
|
| 1715 |
+
"special": true
|
| 1716 |
+
},
|
| 1717 |
+
"126294": {
|
| 1718 |
+
"content": "<|reserved_token_210|>",
|
| 1719 |
+
"lstrip": false,
|
| 1720 |
+
"normalized": false,
|
| 1721 |
+
"rstrip": false,
|
| 1722 |
+
"single_word": false,
|
| 1723 |
+
"special": true
|
| 1724 |
+
},
|
| 1725 |
+
"126295": {
|
| 1726 |
+
"content": "<|reserved_token_211|>",
|
| 1727 |
+
"lstrip": false,
|
| 1728 |
+
"normalized": false,
|
| 1729 |
+
"rstrip": false,
|
| 1730 |
+
"single_word": false,
|
| 1731 |
+
"special": true
|
| 1732 |
+
},
|
| 1733 |
+
"126296": {
|
| 1734 |
+
"content": "<|reserved_token_212|>",
|
| 1735 |
+
"lstrip": false,
|
| 1736 |
+
"normalized": false,
|
| 1737 |
+
"rstrip": false,
|
| 1738 |
+
"single_word": false,
|
| 1739 |
+
"special": true
|
| 1740 |
+
},
|
| 1741 |
+
"126297": {
|
| 1742 |
+
"content": "<|reserved_token_213|>",
|
| 1743 |
+
"lstrip": false,
|
| 1744 |
+
"normalized": false,
|
| 1745 |
+
"rstrip": false,
|
| 1746 |
+
"single_word": false,
|
| 1747 |
+
"special": true
|
| 1748 |
+
},
|
| 1749 |
+
"126298": {
|
| 1750 |
+
"content": "<|reserved_token_214|>",
|
| 1751 |
+
"lstrip": false,
|
| 1752 |
+
"normalized": false,
|
| 1753 |
+
"rstrip": false,
|
| 1754 |
+
"single_word": false,
|
| 1755 |
+
"special": true
|
| 1756 |
+
},
|
| 1757 |
+
"126299": {
|
| 1758 |
+
"content": "<|reserved_token_215|>",
|
| 1759 |
+
"lstrip": false,
|
| 1760 |
+
"normalized": false,
|
| 1761 |
+
"rstrip": false,
|
| 1762 |
+
"single_word": false,
|
| 1763 |
+
"special": true
|
| 1764 |
+
},
|
| 1765 |
+
"126300": {
|
| 1766 |
+
"content": "<|reserved_token_216|>",
|
| 1767 |
+
"lstrip": false,
|
| 1768 |
+
"normalized": false,
|
| 1769 |
+
"rstrip": false,
|
| 1770 |
+
"single_word": false,
|
| 1771 |
+
"special": true
|
| 1772 |
+
},
|
| 1773 |
+
"126301": {
|
| 1774 |
+
"content": "<|reserved_token_217|>",
|
| 1775 |
+
"lstrip": false,
|
| 1776 |
+
"normalized": false,
|
| 1777 |
+
"rstrip": false,
|
| 1778 |
+
"single_word": false,
|
| 1779 |
+
"special": true
|
| 1780 |
+
},
|
| 1781 |
+
"126302": {
|
| 1782 |
+
"content": "<|reserved_token_218|>",
|
| 1783 |
+
"lstrip": false,
|
| 1784 |
+
"normalized": false,
|
| 1785 |
+
"rstrip": false,
|
| 1786 |
+
"single_word": false,
|
| 1787 |
+
"special": true
|
| 1788 |
+
},
|
| 1789 |
+
"126303": {
|
| 1790 |
+
"content": "<|reserved_token_219|>",
|
| 1791 |
+
"lstrip": false,
|
| 1792 |
+
"normalized": false,
|
| 1793 |
+
"rstrip": false,
|
| 1794 |
+
"single_word": false,
|
| 1795 |
+
"special": true
|
| 1796 |
+
},
|
| 1797 |
+
"126304": {
|
| 1798 |
+
"content": "<|reserved_token_220|>",
|
| 1799 |
+
"lstrip": false,
|
| 1800 |
+
"normalized": false,
|
| 1801 |
+
"rstrip": false,
|
| 1802 |
+
"single_word": false,
|
| 1803 |
+
"special": true
|
| 1804 |
+
},
|
| 1805 |
+
"126305": {
|
| 1806 |
+
"content": "<|reserved_token_221|>",
|
| 1807 |
+
"lstrip": false,
|
| 1808 |
+
"normalized": false,
|
| 1809 |
+
"rstrip": false,
|
| 1810 |
+
"single_word": false,
|
| 1811 |
+
"special": true
|
| 1812 |
+
},
|
| 1813 |
+
"126306": {
|
| 1814 |
+
"content": "<|reserved_token_222|>",
|
| 1815 |
+
"lstrip": false,
|
| 1816 |
+
"normalized": false,
|
| 1817 |
+
"rstrip": false,
|
| 1818 |
+
"single_word": false,
|
| 1819 |
+
"special": true
|
| 1820 |
+
},
|
| 1821 |
+
"126307": {
|
| 1822 |
+
"content": "<|reserved_token_223|>",
|
| 1823 |
+
"lstrip": false,
|
| 1824 |
+
"normalized": false,
|
| 1825 |
+
"rstrip": false,
|
| 1826 |
+
"single_word": false,
|
| 1827 |
+
"special": true
|
| 1828 |
+
},
|
| 1829 |
+
"126308": {
|
| 1830 |
+
"content": "<|reserved_token_224|>",
|
| 1831 |
+
"lstrip": false,
|
| 1832 |
+
"normalized": false,
|
| 1833 |
+
"rstrip": false,
|
| 1834 |
+
"single_word": false,
|
| 1835 |
+
"special": true
|
| 1836 |
+
},
|
| 1837 |
+
"126309": {
|
| 1838 |
+
"content": "<|reserved_token_225|>",
|
| 1839 |
+
"lstrip": false,
|
| 1840 |
+
"normalized": false,
|
| 1841 |
+
"rstrip": false,
|
| 1842 |
+
"single_word": false,
|
| 1843 |
+
"special": true
|
| 1844 |
+
},
|
| 1845 |
+
"126310": {
|
| 1846 |
+
"content": "<|reserved_token_226|>",
|
| 1847 |
+
"lstrip": false,
|
| 1848 |
+
"normalized": false,
|
| 1849 |
+
"rstrip": false,
|
| 1850 |
+
"single_word": false,
|
| 1851 |
+
"special": true
|
| 1852 |
+
},
|
| 1853 |
+
"126311": {
|
| 1854 |
+
"content": "<|reserved_token_227|>",
|
| 1855 |
+
"lstrip": false,
|
| 1856 |
+
"normalized": false,
|
| 1857 |
+
"rstrip": false,
|
| 1858 |
+
"single_word": false,
|
| 1859 |
+
"special": true
|
| 1860 |
+
},
|
| 1861 |
+
"126312": {
|
| 1862 |
+
"content": "<|reserved_token_228|>",
|
| 1863 |
+
"lstrip": false,
|
| 1864 |
+
"normalized": false,
|
| 1865 |
+
"rstrip": false,
|
| 1866 |
+
"single_word": false,
|
| 1867 |
+
"special": true
|
| 1868 |
+
},
|
| 1869 |
+
"126313": {
|
| 1870 |
+
"content": "<|reserved_token_229|>",
|
| 1871 |
+
"lstrip": false,
|
| 1872 |
+
"normalized": false,
|
| 1873 |
+
"rstrip": false,
|
| 1874 |
+
"single_word": false,
|
| 1875 |
+
"special": true
|
| 1876 |
+
},
|
| 1877 |
+
"126314": {
|
| 1878 |
+
"content": "<|reserved_token_230|>",
|
| 1879 |
+
"lstrip": false,
|
| 1880 |
+
"normalized": false,
|
| 1881 |
+
"rstrip": false,
|
| 1882 |
+
"single_word": false,
|
| 1883 |
+
"special": true
|
| 1884 |
+
},
|
| 1885 |
+
"126315": {
|
| 1886 |
+
"content": "<|reserved_token_231|>",
|
| 1887 |
+
"lstrip": false,
|
| 1888 |
+
"normalized": false,
|
| 1889 |
+
"rstrip": false,
|
| 1890 |
+
"single_word": false,
|
| 1891 |
+
"special": true
|
| 1892 |
+
},
|
| 1893 |
+
"126316": {
|
| 1894 |
+
"content": "<|reserved_token_232|>",
|
| 1895 |
+
"lstrip": false,
|
| 1896 |
+
"normalized": false,
|
| 1897 |
+
"rstrip": false,
|
| 1898 |
+
"single_word": false,
|
| 1899 |
+
"special": true
|
| 1900 |
+
},
|
| 1901 |
+
"126317": {
|
| 1902 |
+
"content": "<|reserved_token_233|>",
|
| 1903 |
+
"lstrip": false,
|
| 1904 |
+
"normalized": false,
|
| 1905 |
+
"rstrip": false,
|
| 1906 |
+
"single_word": false,
|
| 1907 |
+
"special": true
|
| 1908 |
+
},
|
| 1909 |
+
"126318": {
|
| 1910 |
+
"content": "<|reserved_token_234|>",
|
| 1911 |
+
"lstrip": false,
|
| 1912 |
+
"normalized": false,
|
| 1913 |
+
"rstrip": false,
|
| 1914 |
+
"single_word": false,
|
| 1915 |
+
"special": true
|
| 1916 |
+
},
|
| 1917 |
+
"126319": {
|
| 1918 |
+
"content": "<|reserved_token_235|>",
|
| 1919 |
+
"lstrip": false,
|
| 1920 |
+
"normalized": false,
|
| 1921 |
+
"rstrip": false,
|
| 1922 |
+
"single_word": false,
|
| 1923 |
+
"special": true
|
| 1924 |
+
},
|
| 1925 |
+
"126320": {
|
| 1926 |
+
"content": "<|reserved_token_236|>",
|
| 1927 |
+
"lstrip": false,
|
| 1928 |
+
"normalized": false,
|
| 1929 |
+
"rstrip": false,
|
| 1930 |
+
"single_word": false,
|
| 1931 |
+
"special": true
|
| 1932 |
+
},
|
| 1933 |
+
"126321": {
|
| 1934 |
+
"content": "<|reserved_token_237|>",
|
| 1935 |
+
"lstrip": false,
|
| 1936 |
+
"normalized": false,
|
| 1937 |
+
"rstrip": false,
|
| 1938 |
+
"single_word": false,
|
| 1939 |
+
"special": true
|
| 1940 |
+
},
|
| 1941 |
+
"126322": {
|
| 1942 |
+
"content": "<|reserved_token_238|>",
|
| 1943 |
+
"lstrip": false,
|
| 1944 |
+
"normalized": false,
|
| 1945 |
+
"rstrip": false,
|
| 1946 |
+
"single_word": false,
|
| 1947 |
+
"special": true
|
| 1948 |
+
},
|
| 1949 |
+
"126323": {
|
| 1950 |
+
"content": "<|reserved_token_239|>",
|
| 1951 |
+
"lstrip": false,
|
| 1952 |
+
"normalized": false,
|
| 1953 |
+
"rstrip": false,
|
| 1954 |
+
"single_word": false,
|
| 1955 |
+
"special": true
|
| 1956 |
+
},
|
| 1957 |
+
"126324": {
|
| 1958 |
+
"content": "<|reserved_token_240|>",
|
| 1959 |
+
"lstrip": false,
|
| 1960 |
+
"normalized": false,
|
| 1961 |
+
"rstrip": false,
|
| 1962 |
+
"single_word": false,
|
| 1963 |
+
"special": true
|
| 1964 |
+
},
|
| 1965 |
+
"126325": {
|
| 1966 |
+
"content": "<|reserved_token_241|>",
|
| 1967 |
+
"lstrip": false,
|
| 1968 |
+
"normalized": false,
|
| 1969 |
+
"rstrip": false,
|
| 1970 |
+
"single_word": false,
|
| 1971 |
+
"special": true
|
| 1972 |
+
},
|
| 1973 |
+
"126326": {
|
| 1974 |
+
"content": "<|reserved_token_242|>",
|
| 1975 |
+
"lstrip": false,
|
| 1976 |
+
"normalized": false,
|
| 1977 |
+
"rstrip": false,
|
| 1978 |
+
"single_word": false,
|
| 1979 |
+
"special": true
|
| 1980 |
+
},
|
| 1981 |
+
"126327": {
|
| 1982 |
+
"content": "<|reserved_token_243|>",
|
| 1983 |
+
"lstrip": false,
|
| 1984 |
+
"normalized": false,
|
| 1985 |
+
"rstrip": false,
|
| 1986 |
+
"single_word": false,
|
| 1987 |
+
"special": true
|
| 1988 |
+
},
|
| 1989 |
+
"126328": {
|
| 1990 |
+
"content": "<|reserved_token_244|>",
|
| 1991 |
+
"lstrip": false,
|
| 1992 |
+
"normalized": false,
|
| 1993 |
+
"rstrip": false,
|
| 1994 |
+
"single_word": false,
|
| 1995 |
+
"special": true
|
| 1996 |
+
},
|
| 1997 |
+
"126329": {
|
| 1998 |
+
"content": "<|reserved_token_245|>",
|
| 1999 |
+
"lstrip": false,
|
| 2000 |
+
"normalized": false,
|
| 2001 |
+
"rstrip": false,
|
| 2002 |
+
"single_word": false,
|
| 2003 |
+
"special": true
|
| 2004 |
+
},
|
| 2005 |
+
"126330": {
|
| 2006 |
+
"content": "<|reserved_token_246|>",
|
| 2007 |
+
"lstrip": false,
|
| 2008 |
+
"normalized": false,
|
| 2009 |
+
"rstrip": false,
|
| 2010 |
+
"single_word": false,
|
| 2011 |
+
"special": true
|
| 2012 |
+
},
|
| 2013 |
+
"126331": {
|
| 2014 |
+
"content": "<|reserved_token_247|>",
|
| 2015 |
+
"lstrip": false,
|
| 2016 |
+
"normalized": false,
|
| 2017 |
+
"rstrip": false,
|
| 2018 |
+
"single_word": false,
|
| 2019 |
+
"special": true
|
| 2020 |
+
},
|
| 2021 |
+
"126332": {
|
| 2022 |
+
"content": "<|reserved_token_248|>",
|
| 2023 |
+
"lstrip": false,
|
| 2024 |
+
"normalized": false,
|
| 2025 |
+
"rstrip": false,
|
| 2026 |
+
"single_word": false,
|
| 2027 |
+
"special": true
|
| 2028 |
+
},
|
| 2029 |
+
"126333": {
|
| 2030 |
+
"content": "<|reserved_token_249|>",
|
| 2031 |
+
"lstrip": false,
|
| 2032 |
+
"normalized": false,
|
| 2033 |
+
"rstrip": false,
|
| 2034 |
+
"single_word": false,
|
| 2035 |
+
"special": true
|
| 2036 |
+
},
|
| 2037 |
+
"126334": {
|
| 2038 |
+
"content": "<|reserved_token_250|>",
|
| 2039 |
+
"lstrip": false,
|
| 2040 |
+
"normalized": false,
|
| 2041 |
+
"rstrip": false,
|
| 2042 |
+
"single_word": false,
|
| 2043 |
+
"special": true
|
| 2044 |
+
},
|
| 2045 |
+
"126335": {
|
| 2046 |
+
"content": "<|reserved_token_251|>",
|
| 2047 |
+
"lstrip": false,
|
| 2048 |
+
"normalized": false,
|
| 2049 |
+
"rstrip": false,
|
| 2050 |
+
"single_word": false,
|
| 2051 |
+
"special": true
|
| 2052 |
+
},
|
| 2053 |
+
"126336": {
|
| 2054 |
+
"content": "<|mdm_mask|>",
|
| 2055 |
+
"lstrip": false,
|
| 2056 |
+
"normalized": false,
|
| 2057 |
+
"rstrip": false,
|
| 2058 |
+
"single_word": false,
|
| 2059 |
+
"special": true
|
| 2060 |
+
},
|
| 2061 |
+
"126337": {
|
| 2062 |
+
"content": "<|reserved_token_253|>",
|
| 2063 |
+
"lstrip": false,
|
| 2064 |
+
"normalized": false,
|
| 2065 |
+
"rstrip": false,
|
| 2066 |
+
"single_word": false,
|
| 2067 |
+
"special": true
|
| 2068 |
+
},
|
| 2069 |
+
"126338": {
|
| 2070 |
+
"content": "<|reserved_token_254|>",
|
| 2071 |
+
"lstrip": false,
|
| 2072 |
+
"normalized": false,
|
| 2073 |
+
"rstrip": false,
|
| 2074 |
+
"single_word": false,
|
| 2075 |
+
"special": true
|
| 2076 |
+
},
|
| 2077 |
+
"126339": {
|
| 2078 |
+
"content": "<|reserved_token_255|>",
|
| 2079 |
+
"lstrip": false,
|
| 2080 |
+
"normalized": false,
|
| 2081 |
+
"rstrip": false,
|
| 2082 |
+
"single_word": false,
|
| 2083 |
+
"special": true
|
| 2084 |
+
},
|
| 2085 |
+
"126340": {
|
| 2086 |
+
"content": "<role>",
|
| 2087 |
+
"lstrip": false,
|
| 2088 |
+
"normalized": false,
|
| 2089 |
+
"rstrip": false,
|
| 2090 |
+
"single_word": false,
|
| 2091 |
+
"special": true
|
| 2092 |
+
},
|
| 2093 |
+
"126341": {
|
| 2094 |
+
"content": "</role>",
|
| 2095 |
+
"lstrip": false,
|
| 2096 |
+
"normalized": false,
|
| 2097 |
+
"rstrip": false,
|
| 2098 |
+
"single_word": false,
|
| 2099 |
+
"special": true
|
| 2100 |
+
},
|
| 2101 |
+
"126342": {
|
| 2102 |
+
"content": "<|arithmetic_start|>",
|
| 2103 |
+
"lstrip": false,
|
| 2104 |
+
"normalized": false,
|
| 2105 |
+
"rstrip": false,
|
| 2106 |
+
"single_word": false,
|
| 2107 |
+
"special": true
|
| 2108 |
+
},
|
| 2109 |
+
"126343": {
|
| 2110 |
+
"content": "<|arithmetic_end|>",
|
| 2111 |
+
"lstrip": false,
|
| 2112 |
+
"normalized": false,
|
| 2113 |
+
"rstrip": false,
|
| 2114 |
+
"single_word": false,
|
| 2115 |
+
"special": true
|
| 2116 |
+
},
|
| 2117 |
+
"126344": {
|
| 2118 |
+
"content": "<|number_start|>",
|
| 2119 |
+
"lstrip": false,
|
| 2120 |
+
"normalized": false,
|
| 2121 |
+
"rstrip": false,
|
| 2122 |
+
"single_word": false,
|
| 2123 |
+
"special": true
|
| 2124 |
+
},
|
| 2125 |
+
"126345": {
|
| 2126 |
+
"content": "<|number_end|>",
|
| 2127 |
+
"lstrip": false,
|
| 2128 |
+
"normalized": false,
|
| 2129 |
+
"rstrip": false,
|
| 2130 |
+
"single_word": false,
|
| 2131 |
+
"special": true
|
| 2132 |
+
},
|
| 2133 |
+
"126346": {
|
| 2134 |
+
"content": "<|start_header_id|>",
|
| 2135 |
+
"lstrip": false,
|
| 2136 |
+
"normalized": false,
|
| 2137 |
+
"rstrip": false,
|
| 2138 |
+
"single_word": false,
|
| 2139 |
+
"special": true
|
| 2140 |
+
},
|
| 2141 |
+
"126347": {
|
| 2142 |
+
"content": "<|end_header_id|>",
|
| 2143 |
+
"lstrip": false,
|
| 2144 |
+
"normalized": false,
|
| 2145 |
+
"rstrip": false,
|
| 2146 |
+
"single_word": false,
|
| 2147 |
+
"special": true
|
| 2148 |
+
},
|
| 2149 |
+
"126348": {
|
| 2150 |
+
"content": "<|eot_id|>",
|
| 2151 |
+
"lstrip": false,
|
| 2152 |
+
"normalized": false,
|
| 2153 |
+
"rstrip": false,
|
| 2154 |
+
"single_word": false,
|
| 2155 |
+
"special": true
|
| 2156 |
+
}
|
| 2157 |
+
},
|
| 2158 |
+
"additional_special_tokens": [
|
| 2159 |
+
"<role>",
|
| 2160 |
+
"</role>",
|
| 2161 |
+
"<|arithmetic_start|>",
|
| 2162 |
+
"<|arithmetic_end|>",
|
| 2163 |
+
"<|number_start|>",
|
| 2164 |
+
"<|number_end|>"
|
| 2165 |
+
],
|
| 2166 |
+
"bos_token": "<|startoftext|>",
|
| 2167 |
+
"chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}",
|
| 2168 |
+
"clean_up_tokenization_spaces": false,
|
| 2169 |
+
"cls_token": "[CLS]",
|
| 2170 |
+
"eos_token": "<|endoftext|>",
|
| 2171 |
+
"extra_special_tokens": {},
|
| 2172 |
+
"fast_tokenizer": true,
|
| 2173 |
+
"gmask_token": "[gMASK]",
|
| 2174 |
+
"merges_file": null,
|
| 2175 |
+
"model_input_names": [
|
| 2176 |
+
"input_ids",
|
| 2177 |
+
"attention_mask"
|
| 2178 |
+
],
|
| 2179 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 2180 |
+
"pad_token": "<|endoftext|>",
|
| 2181 |
+
"padding_side": "left",
|
| 2182 |
+
"tokenizer_class": "PreTrainedTokenizer",
|
| 2183 |
+
"trust_remote_code": true
|
| 2184 |
+
}
|
checkpoint-200/trainer_state.json
ADDED
|
@@ -0,0 +1,2033 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.21333333333333335,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 200,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"completion_length": 252.25,
|
| 13 |
+
"epoch": 0.0010666666666666667,
|
| 14 |
+
"grad_norm": 0.13917993009090424,
|
| 15 |
+
"kl": 0.0,
|
| 16 |
+
"learning_rate": 3e-06,
|
| 17 |
+
"loss": 0.1453,
|
| 18 |
+
"reward": 1.3802083730697632,
|
| 19 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.6302083134651184,
|
| 20 |
+
"rewards/correctness_reward_func_math": 0.75,
|
| 21 |
+
"step": 1
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"epoch": 0.0021333333333333334,
|
| 25 |
+
"grad_norm": 0.13937675952911377,
|
| 26 |
+
"kl": 0.0,
|
| 27 |
+
"learning_rate": 3e-06,
|
| 28 |
+
"loss": 0.1453,
|
| 29 |
+
"step": 2
|
| 30 |
+
},
|
| 31 |
+
{
|
| 32 |
+
"completion_length": 231.6979217529297,
|
| 33 |
+
"epoch": 0.0032,
|
| 34 |
+
"grad_norm": 0.07865716516971588,
|
| 35 |
+
"kl": 0.000684030877891928,
|
| 36 |
+
"learning_rate": 3e-06,
|
| 37 |
+
"loss": 0.0222,
|
| 38 |
+
"reward": 1.2968750298023224,
|
| 39 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.6302083432674408,
|
| 40 |
+
"rewards/correctness_reward_func_math": 0.6666666865348816,
|
| 41 |
+
"step": 3
|
| 42 |
+
},
|
| 43 |
+
{
|
| 44 |
+
"epoch": 0.004266666666666667,
|
| 45 |
+
"grad_norm": 0.05887310951948166,
|
| 46 |
+
"kl": 0.000708846258930862,
|
| 47 |
+
"learning_rate": 3e-06,
|
| 48 |
+
"loss": 0.0223,
|
| 49 |
+
"step": 4
|
| 50 |
+
},
|
| 51 |
+
{
|
| 52 |
+
"completion_length": 248.09375762939453,
|
| 53 |
+
"epoch": 0.005333333333333333,
|
| 54 |
+
"grad_norm": 0.1470843404531479,
|
| 55 |
+
"kl": 0.0013292446383275092,
|
| 56 |
+
"learning_rate": 3e-06,
|
| 57 |
+
"loss": 0.0593,
|
| 58 |
+
"reward": 1.1302083432674408,
|
| 59 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.5677083432674408,
|
| 60 |
+
"rewards/correctness_reward_func_math": 0.5625,
|
| 61 |
+
"step": 5
|
| 62 |
+
},
|
| 63 |
+
{
|
| 64 |
+
"epoch": 0.0064,
|
| 65 |
+
"grad_norm": 0.16160514950752258,
|
| 66 |
+
"kl": 0.0013866736553609371,
|
| 67 |
+
"learning_rate": 3e-06,
|
| 68 |
+
"loss": 0.0589,
|
| 69 |
+
"step": 6
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"completion_length": 240.4375,
|
| 73 |
+
"epoch": 0.007466666666666667,
|
| 74 |
+
"grad_norm": 0.11771108210086823,
|
| 75 |
+
"kl": 0.0008424457046203315,
|
| 76 |
+
"learning_rate": 3e-06,
|
| 77 |
+
"loss": 0.1484,
|
| 78 |
+
"reward": 1.140625,
|
| 79 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.6197916865348816,
|
| 80 |
+
"rewards/correctness_reward_func_math": 0.5208333283662796,
|
| 81 |
+
"step": 7
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 0.008533333333333334,
|
| 85 |
+
"grad_norm": 0.11521568894386292,
|
| 86 |
+
"kl": 0.0008330132404807955,
|
| 87 |
+
"learning_rate": 3e-06,
|
| 88 |
+
"loss": 0.1483,
|
| 89 |
+
"step": 8
|
| 90 |
+
},
|
| 91 |
+
{
|
| 92 |
+
"completion_length": 248.46875,
|
| 93 |
+
"epoch": 0.0096,
|
| 94 |
+
"grad_norm": 0.13317543268203735,
|
| 95 |
+
"kl": 0.0010271553765051067,
|
| 96 |
+
"learning_rate": 3e-06,
|
| 97 |
+
"loss": 0.1812,
|
| 98 |
+
"reward": 1.1822916865348816,
|
| 99 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.6197916567325592,
|
| 100 |
+
"rewards/correctness_reward_func_math": 0.5625,
|
| 101 |
+
"step": 9
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.010666666666666666,
|
| 105 |
+
"grad_norm": 0.12070783227682114,
|
| 106 |
+
"kl": 0.001022065698634833,
|
| 107 |
+
"learning_rate": 3e-06,
|
| 108 |
+
"loss": 0.1816,
|
| 109 |
+
"step": 10
|
| 110 |
+
},
|
| 111 |
+
{
|
| 112 |
+
"completion_length": 243.93750762939453,
|
| 113 |
+
"epoch": 0.011733333333333333,
|
| 114 |
+
"grad_norm": 0.09472105652093887,
|
| 115 |
+
"kl": 0.0007579472730867565,
|
| 116 |
+
"learning_rate": 3e-06,
|
| 117 |
+
"loss": -0.0433,
|
| 118 |
+
"reward": 1.125,
|
| 119 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.6041666567325592,
|
| 120 |
+
"rewards/correctness_reward_func_math": 0.5208333432674408,
|
| 121 |
+
"step": 11
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.0128,
|
| 125 |
+
"grad_norm": 0.08511383086442947,
|
| 126 |
+
"kl": 0.0008102746505755931,
|
| 127 |
+
"learning_rate": 3e-06,
|
| 128 |
+
"loss": -0.0435,
|
| 129 |
+
"step": 12
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"completion_length": 246.86458587646484,
|
| 133 |
+
"epoch": 0.013866666666666666,
|
| 134 |
+
"grad_norm": 0.1304204910993576,
|
| 135 |
+
"kl": 0.0008793774177320302,
|
| 136 |
+
"learning_rate": 3e-06,
|
| 137 |
+
"loss": -0.0371,
|
| 138 |
+
"reward": 1.1614583730697632,
|
| 139 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.5989583432674408,
|
| 140 |
+
"rewards/correctness_reward_func_math": 0.5625000074505806,
|
| 141 |
+
"step": 13
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"epoch": 0.014933333333333333,
|
| 145 |
+
"grad_norm": 0.10566864907741547,
|
| 146 |
+
"kl": 0.0007963517564348876,
|
| 147 |
+
"learning_rate": 3e-06,
|
| 148 |
+
"loss": -0.037,
|
| 149 |
+
"step": 14
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"completion_length": 244.59375762939453,
|
| 153 |
+
"epoch": 0.016,
|
| 154 |
+
"grad_norm": 0.09695824235677719,
|
| 155 |
+
"kl": 0.0009378301328979433,
|
| 156 |
+
"learning_rate": 3e-06,
|
| 157 |
+
"loss": 0.0214,
|
| 158 |
+
"reward": 1.0833333730697632,
|
| 159 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.5833333134651184,
|
| 160 |
+
"rewards/correctness_reward_func_math": 0.5,
|
| 161 |
+
"step": 15
|
| 162 |
+
},
|
| 163 |
+
{
|
| 164 |
+
"epoch": 0.017066666666666667,
|
| 165 |
+
"grad_norm": 0.099588543176651,
|
| 166 |
+
"kl": 0.0009069846710190177,
|
| 167 |
+
"learning_rate": 3e-06,
|
| 168 |
+
"loss": 0.0217,
|
| 169 |
+
"step": 16
|
| 170 |
+
},
|
| 171 |
+
{
|
| 172 |
+
"completion_length": 239.80209350585938,
|
| 173 |
+
"epoch": 0.018133333333333335,
|
| 174 |
+
"grad_norm": 0.06958300620317459,
|
| 175 |
+
"kl": 0.001107214658986777,
|
| 176 |
+
"learning_rate": 3e-06,
|
| 177 |
+
"loss": 0.0169,
|
| 178 |
+
"reward": 0.916666716337204,
|
| 179 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.5416666865348816,
|
| 180 |
+
"rewards/correctness_reward_func_math": 0.375,
|
| 181 |
+
"step": 17
|
| 182 |
+
},
|
| 183 |
+
{
|
| 184 |
+
"epoch": 0.0192,
|
| 185 |
+
"grad_norm": 0.1377073973417282,
|
| 186 |
+
"kl": 0.0008504675352014601,
|
| 187 |
+
"learning_rate": 3e-06,
|
| 188 |
+
"loss": 0.0173,
|
| 189 |
+
"step": 18
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"completion_length": 246.2916717529297,
|
| 193 |
+
"epoch": 0.020266666666666665,
|
| 194 |
+
"grad_norm": 0.07782328873872757,
|
| 195 |
+
"kl": 0.0008457594667561352,
|
| 196 |
+
"learning_rate": 3e-06,
|
| 197 |
+
"loss": 0.0861,
|
| 198 |
+
"reward": 1.0989583730697632,
|
| 199 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.6614583134651184,
|
| 200 |
+
"rewards/correctness_reward_func_math": 0.4375,
|
| 201 |
+
"step": 19
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"epoch": 0.021333333333333333,
|
| 205 |
+
"grad_norm": 0.0780203640460968,
|
| 206 |
+
"kl": 0.000831472483696416,
|
| 207 |
+
"learning_rate": 3e-06,
|
| 208 |
+
"loss": 0.0857,
|
| 209 |
+
"step": 20
|
| 210 |
+
},
|
| 211 |
+
{
|
| 212 |
+
"completion_length": 238.67709350585938,
|
| 213 |
+
"epoch": 0.0224,
|
| 214 |
+
"grad_norm": 0.08472912758588791,
|
| 215 |
+
"kl": 0.0009613791771698743,
|
| 216 |
+
"learning_rate": 3e-06,
|
| 217 |
+
"loss": 0.1118,
|
| 218 |
+
"reward": 1.0052083432674408,
|
| 219 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.5677083432674408,
|
| 220 |
+
"rewards/correctness_reward_func_math": 0.4375,
|
| 221 |
+
"step": 21
|
| 222 |
+
},
|
| 223 |
+
{
|
| 224 |
+
"epoch": 0.023466666666666667,
|
| 225 |
+
"grad_norm": 0.14066265523433685,
|
| 226 |
+
"kl": 0.0011330295819789171,
|
| 227 |
+
"learning_rate": 3e-06,
|
| 228 |
+
"loss": 0.1123,
|
| 229 |
+
"step": 22
|
| 230 |
+
},
|
| 231 |
+
{
|
| 232 |
+
"completion_length": 243.4791717529297,
|
| 233 |
+
"epoch": 0.024533333333333334,
|
| 234 |
+
"grad_norm": 0.14210180938243866,
|
| 235 |
+
"kl": 0.001092101214453578,
|
| 236 |
+
"learning_rate": 3e-06,
|
| 237 |
+
"loss": 0.0571,
|
| 238 |
+
"reward": 1.1145833730697632,
|
| 239 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.65625,
|
| 240 |
+
"rewards/correctness_reward_func_math": 0.4583333283662796,
|
| 241 |
+
"step": 23
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 0.0256,
|
| 245 |
+
"grad_norm": 0.13714748620986938,
|
| 246 |
+
"kl": 0.0010952465236186981,
|
| 247 |
+
"learning_rate": 3e-06,
|
| 248 |
+
"loss": 0.0571,
|
| 249 |
+
"step": 24
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"completion_length": 247.6666717529297,
|
| 253 |
+
"epoch": 0.02666666666666667,
|
| 254 |
+
"grad_norm": 0.12453050911426544,
|
| 255 |
+
"kl": 0.001361026312224567,
|
| 256 |
+
"learning_rate": 3e-06,
|
| 257 |
+
"loss": 0.0036,
|
| 258 |
+
"reward": 1.2447917461395264,
|
| 259 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.640625,
|
| 260 |
+
"rewards/correctness_reward_func_math": 0.6041666716337204,
|
| 261 |
+
"step": 25
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.027733333333333332,
|
| 265 |
+
"grad_norm": 0.12724444270133972,
|
| 266 |
+
"kl": 0.0013856127625331283,
|
| 267 |
+
"learning_rate": 3e-06,
|
| 268 |
+
"loss": 0.0038,
|
| 269 |
+
"step": 26
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"completion_length": 250.45833587646484,
|
| 273 |
+
"epoch": 0.0288,
|
| 274 |
+
"grad_norm": 0.09747665375471115,
|
| 275 |
+
"kl": 0.001093864208087325,
|
| 276 |
+
"learning_rate": 3e-06,
|
| 277 |
+
"loss": 0.0438,
|
| 278 |
+
"reward": 1.1718750596046448,
|
| 279 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.5677083134651184,
|
| 280 |
+
"rewards/correctness_reward_func_math": 0.6041666716337204,
|
| 281 |
+
"step": 27
|
| 282 |
+
},
|
| 283 |
+
{
|
| 284 |
+
"epoch": 0.029866666666666666,
|
| 285 |
+
"grad_norm": 0.09332119673490524,
|
| 286 |
+
"kl": 0.001126218878198415,
|
| 287 |
+
"learning_rate": 3e-06,
|
| 288 |
+
"loss": 0.0436,
|
| 289 |
+
"step": 28
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"completion_length": 239.3854217529297,
|
| 293 |
+
"epoch": 0.030933333333333334,
|
| 294 |
+
"grad_norm": 0.17529603838920593,
|
| 295 |
+
"kl": 0.00143107509939,
|
| 296 |
+
"learning_rate": 3e-06,
|
| 297 |
+
"loss": 0.2607,
|
| 298 |
+
"reward": 1.4583333730697632,
|
| 299 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.6041666865348816,
|
| 300 |
+
"rewards/correctness_reward_func_math": 0.8541666567325592,
|
| 301 |
+
"step": 29
|
| 302 |
+
},
|
| 303 |
+
{
|
| 304 |
+
"epoch": 0.032,
|
| 305 |
+
"grad_norm": 0.14503324031829834,
|
| 306 |
+
"kl": 0.0013052276335656643,
|
| 307 |
+
"learning_rate": 3e-06,
|
| 308 |
+
"loss": 0.2604,
|
| 309 |
+
"step": 30
|
| 310 |
+
},
|
| 311 |
+
{
|
| 312 |
+
"completion_length": 247.8541717529297,
|
| 313 |
+
"epoch": 0.03306666666666667,
|
| 314 |
+
"grad_norm": 0.17090579867362976,
|
| 315 |
+
"kl": 0.0016485766973346472,
|
| 316 |
+
"learning_rate": 3e-06,
|
| 317 |
+
"loss": -0.0479,
|
| 318 |
+
"reward": 0.9114583432674408,
|
| 319 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.6197916567325592,
|
| 320 |
+
"rewards/correctness_reward_func_math": 0.2916666567325592,
|
| 321 |
+
"step": 31
|
| 322 |
+
},
|
| 323 |
+
{
|
| 324 |
+
"epoch": 0.034133333333333335,
|
| 325 |
+
"grad_norm": 0.17482973635196686,
|
| 326 |
+
"kl": 0.0016103480011224747,
|
| 327 |
+
"learning_rate": 3e-06,
|
| 328 |
+
"loss": -0.0485,
|
| 329 |
+
"step": 32
|
| 330 |
+
},
|
| 331 |
+
{
|
| 332 |
+
"completion_length": 242.9479217529297,
|
| 333 |
+
"epoch": 0.0352,
|
| 334 |
+
"grad_norm": 0.08319579809904099,
|
| 335 |
+
"kl": 0.0013811211101710796,
|
| 336 |
+
"learning_rate": 3e-06,
|
| 337 |
+
"loss": -0.0021,
|
| 338 |
+
"reward": 1.1927083730697632,
|
| 339 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.5885416567325592,
|
| 340 |
+
"rewards/correctness_reward_func_math": 0.6041666716337204,
|
| 341 |
+
"step": 33
|
| 342 |
+
},
|
| 343 |
+
{
|
| 344 |
+
"epoch": 0.03626666666666667,
|
| 345 |
+
"grad_norm": 0.08542275428771973,
|
| 346 |
+
"kl": 0.0013367344508878887,
|
| 347 |
+
"learning_rate": 3e-06,
|
| 348 |
+
"loss": -0.0023,
|
| 349 |
+
"step": 34
|
| 350 |
+
},
|
| 351 |
+
{
|
| 352 |
+
"completion_length": 248.25000762939453,
|
| 353 |
+
"epoch": 0.037333333333333336,
|
| 354 |
+
"grad_norm": 0.06514739990234375,
|
| 355 |
+
"kl": 0.0012877773842774332,
|
| 356 |
+
"learning_rate": 3e-06,
|
| 357 |
+
"loss": 0.0927,
|
| 358 |
+
"reward": 0.84375,
|
| 359 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.6145833134651184,
|
| 360 |
+
"rewards/correctness_reward_func_math": 0.2291666641831398,
|
| 361 |
+
"step": 35
|
| 362 |
+
},
|
| 363 |
+
{
|
| 364 |
+
"epoch": 0.0384,
|
| 365 |
+
"grad_norm": 0.0697920098900795,
|
| 366 |
+
"kl": 0.0013648512540385127,
|
| 367 |
+
"learning_rate": 3e-06,
|
| 368 |
+
"loss": 0.0928,
|
| 369 |
+
"step": 36
|
| 370 |
+
},
|
| 371 |
+
{
|
| 372 |
+
"completion_length": 238.5104217529297,
|
| 373 |
+
"epoch": 0.039466666666666664,
|
| 374 |
+
"grad_norm": 0.09790534526109695,
|
| 375 |
+
"kl": 0.0015243100351653993,
|
| 376 |
+
"learning_rate": 3e-06,
|
| 377 |
+
"loss": 0.0506,
|
| 378 |
+
"reward": 1.1041667461395264,
|
| 379 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.6041666567325592,
|
| 380 |
+
"rewards/correctness_reward_func_math": 0.5000000149011612,
|
| 381 |
+
"step": 37
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 0.04053333333333333,
|
| 385 |
+
"grad_norm": 0.09323987364768982,
|
| 386 |
+
"kl": 0.001548255153466016,
|
| 387 |
+
"learning_rate": 3e-06,
|
| 388 |
+
"loss": 0.05,
|
| 389 |
+
"step": 38
|
| 390 |
+
},
|
| 391 |
+
{
|
| 392 |
+
"completion_length": 244.18750762939453,
|
| 393 |
+
"epoch": 0.0416,
|
| 394 |
+
"grad_norm": 0.10544437915086746,
|
| 395 |
+
"kl": 0.0015407268656417727,
|
| 396 |
+
"learning_rate": 3e-06,
|
| 397 |
+
"loss": 0.08,
|
| 398 |
+
"reward": 1.1666666865348816,
|
| 399 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.5833333432674408,
|
| 400 |
+
"rewards/correctness_reward_func_math": 0.5833333283662796,
|
| 401 |
+
"step": 39
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 0.042666666666666665,
|
| 405 |
+
"grad_norm": 0.12546436488628387,
|
| 406 |
+
"kl": 0.0015768679440952837,
|
| 407 |
+
"learning_rate": 3e-06,
|
| 408 |
+
"loss": 0.0804,
|
| 409 |
+
"step": 40
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"completion_length": 237.65625762939453,
|
| 413 |
+
"epoch": 0.04373333333333333,
|
| 414 |
+
"grad_norm": 0.07941632717847824,
|
| 415 |
+
"kl": 0.0014703694032505155,
|
| 416 |
+
"learning_rate": 3e-06,
|
| 417 |
+
"loss": 0.0606,
|
| 418 |
+
"reward": 1.0156250596046448,
|
| 419 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.5364583134651184,
|
| 420 |
+
"rewards/correctness_reward_func_math": 0.4791666716337204,
|
| 421 |
+
"step": 41
|
| 422 |
+
},
|
| 423 |
+
{
|
| 424 |
+
"epoch": 0.0448,
|
| 425 |
+
"grad_norm": 0.07871707528829575,
|
| 426 |
+
"kl": 0.0014033173210918903,
|
| 427 |
+
"learning_rate": 3e-06,
|
| 428 |
+
"loss": 0.0604,
|
| 429 |
+
"step": 42
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"completion_length": 234.9791717529297,
|
| 433 |
+
"epoch": 0.04586666666666667,
|
| 434 |
+
"grad_norm": 0.07706955820322037,
|
| 435 |
+
"kl": 0.0015643976512365043,
|
| 436 |
+
"learning_rate": 3e-06,
|
| 437 |
+
"loss": 0.0771,
|
| 438 |
+
"reward": 1.2135416865348816,
|
| 439 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.546875,
|
| 440 |
+
"rewards/correctness_reward_func_math": 0.6666666865348816,
|
| 441 |
+
"step": 43
|
| 442 |
+
},
|
| 443 |
+
{
|
| 444 |
+
"epoch": 0.046933333333333334,
|
| 445 |
+
"grad_norm": 0.06687943637371063,
|
| 446 |
+
"kl": 0.0016123607056215405,
|
| 447 |
+
"learning_rate": 3e-06,
|
| 448 |
+
"loss": 0.0768,
|
| 449 |
+
"step": 44
|
| 450 |
+
},
|
| 451 |
+
{
|
| 452 |
+
"completion_length": 245.6666717529297,
|
| 453 |
+
"epoch": 0.048,
|
| 454 |
+
"grad_norm": 0.0969594195485115,
|
| 455 |
+
"kl": 0.001440248393919319,
|
| 456 |
+
"learning_rate": 3e-06,
|
| 457 |
+
"loss": 0.0308,
|
| 458 |
+
"reward": 1.5572916865348816,
|
| 459 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.640625,
|
| 460 |
+
"rewards/correctness_reward_func_math": 0.9166666567325592,
|
| 461 |
+
"step": 45
|
| 462 |
+
},
|
| 463 |
+
{
|
| 464 |
+
"epoch": 0.04906666666666667,
|
| 465 |
+
"grad_norm": 0.0994538962841034,
|
| 466 |
+
"kl": 0.0014502875274047256,
|
| 467 |
+
"learning_rate": 3e-06,
|
| 468 |
+
"loss": 0.0312,
|
| 469 |
+
"step": 46
|
| 470 |
+
},
|
| 471 |
+
{
|
| 472 |
+
"completion_length": 232.6354217529297,
|
| 473 |
+
"epoch": 0.050133333333333335,
|
| 474 |
+
"grad_norm": 0.0753404051065445,
|
| 475 |
+
"kl": 0.001390244986396283,
|
| 476 |
+
"learning_rate": 3e-06,
|
| 477 |
+
"loss": 0.1163,
|
| 478 |
+
"reward": 1.4895833730697632,
|
| 479 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.59375,
|
| 480 |
+
"rewards/correctness_reward_func_math": 0.8958333432674408,
|
| 481 |
+
"step": 47
|
| 482 |
+
},
|
| 483 |
+
{
|
| 484 |
+
"epoch": 0.0512,
|
| 485 |
+
"grad_norm": 0.07540339231491089,
|
| 486 |
+
"kl": 0.0014414676115848124,
|
| 487 |
+
"learning_rate": 3e-06,
|
| 488 |
+
"loss": 0.1159,
|
| 489 |
+
"step": 48
|
| 490 |
+
},
|
| 491 |
+
{
|
| 492 |
+
"completion_length": 237.5416717529297,
|
| 493 |
+
"epoch": 0.05226666666666667,
|
| 494 |
+
"grad_norm": 0.11727641522884369,
|
| 495 |
+
"kl": 0.0016165076522156596,
|
| 496 |
+
"learning_rate": 3e-06,
|
| 497 |
+
"loss": 0.1507,
|
| 498 |
+
"reward": 1.1510416865348816,
|
| 499 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.671875,
|
| 500 |
+
"rewards/correctness_reward_func_math": 0.4791666716337204,
|
| 501 |
+
"step": 49
|
| 502 |
+
},
|
| 503 |
+
{
|
| 504 |
+
"epoch": 0.05333333333333334,
|
| 505 |
+
"grad_norm": 0.12209934741258621,
|
| 506 |
+
"kl": 0.0017891249153763056,
|
| 507 |
+
"learning_rate": 3e-06,
|
| 508 |
+
"loss": 0.1503,
|
| 509 |
+
"step": 50
|
| 510 |
+
},
|
| 511 |
+
{
|
| 512 |
+
"completion_length": 241.14583587646484,
|
| 513 |
+
"epoch": 0.0544,
|
| 514 |
+
"grad_norm": 0.08470117300748825,
|
| 515 |
+
"kl": 0.001443372806534171,
|
| 516 |
+
"learning_rate": 3e-06,
|
| 517 |
+
"loss": -0.0777,
|
| 518 |
+
"reward": 1.2708333730697632,
|
| 519 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.625,
|
| 520 |
+
"rewards/correctness_reward_func_math": 0.6458333283662796,
|
| 521 |
+
"step": 51
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 0.055466666666666664,
|
| 525 |
+
"grad_norm": 0.09066792577505112,
|
| 526 |
+
"kl": 0.0014335185405798256,
|
| 527 |
+
"learning_rate": 3e-06,
|
| 528 |
+
"loss": -0.0774,
|
| 529 |
+
"step": 52
|
| 530 |
+
},
|
| 531 |
+
{
|
| 532 |
+
"completion_length": 251.92708587646484,
|
| 533 |
+
"epoch": 0.05653333333333333,
|
| 534 |
+
"grad_norm": 0.08732093125581741,
|
| 535 |
+
"kl": 0.0016631721518933773,
|
| 536 |
+
"learning_rate": 3e-06,
|
| 537 |
+
"loss": -0.0009,
|
| 538 |
+
"reward": 1.2708333730697632,
|
| 539 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.625,
|
| 540 |
+
"rewards/correctness_reward_func_math": 0.6458333544433117,
|
| 541 |
+
"step": 53
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 0.0576,
|
| 545 |
+
"grad_norm": 0.08641738444566727,
|
| 546 |
+
"kl": 0.0018310246523469687,
|
| 547 |
+
"learning_rate": 3e-06,
|
| 548 |
+
"loss": -0.0005,
|
| 549 |
+
"step": 54
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"completion_length": 244.20833587646484,
|
| 553 |
+
"epoch": 0.058666666666666666,
|
| 554 |
+
"grad_norm": 0.10797394067049026,
|
| 555 |
+
"kl": 0.0015712621388956904,
|
| 556 |
+
"learning_rate": 3e-06,
|
| 557 |
+
"loss": 0.0333,
|
| 558 |
+
"reward": 1.109375,
|
| 559 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.5260416567325592,
|
| 560 |
+
"rewards/correctness_reward_func_math": 0.5833333432674408,
|
| 561 |
+
"step": 55
|
| 562 |
+
},
|
| 563 |
+
{
|
| 564 |
+
"epoch": 0.05973333333333333,
|
| 565 |
+
"grad_norm": 0.11483337730169296,
|
| 566 |
+
"kl": 0.0016164358239620924,
|
| 567 |
+
"learning_rate": 3e-06,
|
| 568 |
+
"loss": 0.0336,
|
| 569 |
+
"step": 56
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"completion_length": 244.52083587646484,
|
| 573 |
+
"epoch": 0.0608,
|
| 574 |
+
"grad_norm": 0.11415942013263702,
|
| 575 |
+
"kl": 0.002258998923934996,
|
| 576 |
+
"learning_rate": 3e-06,
|
| 577 |
+
"loss": 0.1416,
|
| 578 |
+
"reward": 1.1614583730697632,
|
| 579 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.6614583432674408,
|
| 580 |
+
"rewards/correctness_reward_func_math": 0.4999999850988388,
|
| 581 |
+
"step": 57
|
| 582 |
+
},
|
| 583 |
+
{
|
| 584 |
+
"epoch": 0.06186666666666667,
|
| 585 |
+
"grad_norm": 0.11037321388721466,
|
| 586 |
+
"kl": 0.0020339792827144265,
|
| 587 |
+
"learning_rate": 3e-06,
|
| 588 |
+
"loss": 0.1416,
|
| 589 |
+
"step": 58
|
| 590 |
+
},
|
| 591 |
+
{
|
| 592 |
+
"completion_length": 252.5416717529297,
|
| 593 |
+
"epoch": 0.06293333333333333,
|
| 594 |
+
"grad_norm": 0.09595922380685806,
|
| 595 |
+
"kl": 0.0017390991561114788,
|
| 596 |
+
"learning_rate": 3e-06,
|
| 597 |
+
"loss": 0.0304,
|
| 598 |
+
"reward": 1.4270833730697632,
|
| 599 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.6145833432674408,
|
| 600 |
+
"rewards/correctness_reward_func_math": 0.8125,
|
| 601 |
+
"step": 59
|
| 602 |
+
},
|
| 603 |
+
{
|
| 604 |
+
"epoch": 0.064,
|
| 605 |
+
"grad_norm": 0.10574597865343094,
|
| 606 |
+
"kl": 0.001767849549651146,
|
| 607 |
+
"learning_rate": 3e-06,
|
| 608 |
+
"loss": 0.0299,
|
| 609 |
+
"step": 60
|
| 610 |
+
},
|
| 611 |
+
{
|
| 612 |
+
"completion_length": 244.48958587646484,
|
| 613 |
+
"epoch": 0.06506666666666666,
|
| 614 |
+
"grad_norm": 0.09615544974803925,
|
| 615 |
+
"kl": 0.0017314389697276056,
|
| 616 |
+
"learning_rate": 3e-06,
|
| 617 |
+
"loss": 0.1035,
|
| 618 |
+
"reward": 1.1562500596046448,
|
| 619 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.5729166567325592,
|
| 620 |
+
"rewards/correctness_reward_func_math": 0.5833333283662796,
|
| 621 |
+
"step": 61
|
| 622 |
+
},
|
| 623 |
+
{
|
| 624 |
+
"epoch": 0.06613333333333334,
|
| 625 |
+
"grad_norm": 0.0875302329659462,
|
| 626 |
+
"kl": 0.0015769051969982684,
|
| 627 |
+
"learning_rate": 3e-06,
|
| 628 |
+
"loss": 0.1032,
|
| 629 |
+
"step": 62
|
| 630 |
+
},
|
| 631 |
+
{
|
| 632 |
+
"completion_length": 248.92709350585938,
|
| 633 |
+
"epoch": 0.0672,
|
| 634 |
+
"grad_norm": 0.09455385059118271,
|
| 635 |
+
"kl": 0.00198291870765388,
|
| 636 |
+
"learning_rate": 3e-06,
|
| 637 |
+
"loss": 0.0419,
|
| 638 |
+
"reward": 1.4166667461395264,
|
| 639 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.625,
|
| 640 |
+
"rewards/correctness_reward_func_math": 0.7916666567325592,
|
| 641 |
+
"step": 63
|
| 642 |
+
},
|
| 643 |
+
{
|
| 644 |
+
"epoch": 0.06826666666666667,
|
| 645 |
+
"grad_norm": 0.12381947785615921,
|
| 646 |
+
"kl": 0.002091848640702665,
|
| 647 |
+
"learning_rate": 3e-06,
|
| 648 |
+
"loss": 0.0418,
|
| 649 |
+
"step": 64
|
| 650 |
+
},
|
| 651 |
+
{
|
| 652 |
+
"completion_length": 244.25000762939453,
|
| 653 |
+
"epoch": 0.06933333333333333,
|
| 654 |
+
"grad_norm": 0.09528794884681702,
|
| 655 |
+
"kl": 0.0020358916372060776,
|
| 656 |
+
"learning_rate": 3e-06,
|
| 657 |
+
"loss": 0.0797,
|
| 658 |
+
"reward": 1.0833333432674408,
|
| 659 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.625,
|
| 660 |
+
"rewards/correctness_reward_func_math": 0.4583333358168602,
|
| 661 |
+
"step": 65
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 0.0704,
|
| 665 |
+
"grad_norm": 0.09021297842264175,
|
| 666 |
+
"kl": 0.0021131213288754225,
|
| 667 |
+
"learning_rate": 3e-06,
|
| 668 |
+
"loss": 0.0796,
|
| 669 |
+
"step": 66
|
| 670 |
+
},
|
| 671 |
+
{
|
| 672 |
+
"completion_length": 242.2604217529297,
|
| 673 |
+
"epoch": 0.07146666666666666,
|
| 674 |
+
"grad_norm": 0.11209271103143692,
|
| 675 |
+
"kl": 0.0016552057350054383,
|
| 676 |
+
"learning_rate": 3e-06,
|
| 677 |
+
"loss": 0.0905,
|
| 678 |
+
"reward": 1.2291666865348816,
|
| 679 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.5625,
|
| 680 |
+
"rewards/correctness_reward_func_math": 0.6666666865348816,
|
| 681 |
+
"step": 67
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 0.07253333333333334,
|
| 685 |
+
"grad_norm": 0.1326776146888733,
|
| 686 |
+
"kl": 0.0017586728790774941,
|
| 687 |
+
"learning_rate": 3e-06,
|
| 688 |
+
"loss": 0.0906,
|
| 689 |
+
"step": 68
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"completion_length": 233.9166717529297,
|
| 693 |
+
"epoch": 0.0736,
|
| 694 |
+
"grad_norm": 0.09971653670072556,
|
| 695 |
+
"kl": 0.0016736852703616023,
|
| 696 |
+
"learning_rate": 3e-06,
|
| 697 |
+
"loss": 0.0235,
|
| 698 |
+
"reward": 1.1145833730697632,
|
| 699 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.5729166567325592,
|
| 700 |
+
"rewards/correctness_reward_func_math": 0.5416666865348816,
|
| 701 |
+
"step": 69
|
| 702 |
+
},
|
| 703 |
+
{
|
| 704 |
+
"epoch": 0.07466666666666667,
|
| 705 |
+
"grad_norm": 0.09656917303800583,
|
| 706 |
+
"kl": 0.0016576185007579625,
|
| 707 |
+
"learning_rate": 3e-06,
|
| 708 |
+
"loss": 0.0236,
|
| 709 |
+
"step": 70
|
| 710 |
+
},
|
| 711 |
+
{
|
| 712 |
+
"completion_length": 245.3854217529297,
|
| 713 |
+
"epoch": 0.07573333333333333,
|
| 714 |
+
"grad_norm": 0.09661854803562164,
|
| 715 |
+
"kl": 0.0026833119336515665,
|
| 716 |
+
"learning_rate": 3e-06,
|
| 717 |
+
"loss": -0.0027,
|
| 718 |
+
"reward": 1.0520833730697632,
|
| 719 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.5520833134651184,
|
| 720 |
+
"rewards/correctness_reward_func_math": 0.4999999850988388,
|
| 721 |
+
"step": 71
|
| 722 |
+
},
|
| 723 |
+
{
|
| 724 |
+
"epoch": 0.0768,
|
| 725 |
+
"grad_norm": 0.10463777184486389,
|
| 726 |
+
"kl": 0.0024712955346331,
|
| 727 |
+
"learning_rate": 3e-06,
|
| 728 |
+
"loss": -0.0035,
|
| 729 |
+
"step": 72
|
| 730 |
+
},
|
| 731 |
+
{
|
| 732 |
+
"completion_length": 251.48958587646484,
|
| 733 |
+
"epoch": 0.07786666666666667,
|
| 734 |
+
"grad_norm": 0.12469884753227234,
|
| 735 |
+
"kl": 0.002885082154534757,
|
| 736 |
+
"learning_rate": 3e-06,
|
| 737 |
+
"loss": 0.0742,
|
| 738 |
+
"reward": 1.0677083432674408,
|
| 739 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.5885416567325592,
|
| 740 |
+
"rewards/correctness_reward_func_math": 0.4791666716337204,
|
| 741 |
+
"step": 73
|
| 742 |
+
},
|
| 743 |
+
{
|
| 744 |
+
"epoch": 0.07893333333333333,
|
| 745 |
+
"grad_norm": 0.12237768620252609,
|
| 746 |
+
"kl": 0.002940670936368406,
|
| 747 |
+
"learning_rate": 3e-06,
|
| 748 |
+
"loss": 0.0748,
|
| 749 |
+
"step": 74
|
| 750 |
+
},
|
| 751 |
+
{
|
| 752 |
+
"completion_length": 250.3125,
|
| 753 |
+
"epoch": 0.08,
|
| 754 |
+
"grad_norm": 0.1503533273935318,
|
| 755 |
+
"kl": 0.0019364022300578654,
|
| 756 |
+
"learning_rate": 3e-06,
|
| 757 |
+
"loss": 0.0117,
|
| 758 |
+
"reward": 1.078125,
|
| 759 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.578125,
|
| 760 |
+
"rewards/correctness_reward_func_math": 0.5000000149011612,
|
| 761 |
+
"step": 75
|
| 762 |
+
},
|
| 763 |
+
{
|
| 764 |
+
"epoch": 0.08106666666666666,
|
| 765 |
+
"grad_norm": 0.12449654191732407,
|
| 766 |
+
"kl": 0.0019527390832081437,
|
| 767 |
+
"learning_rate": 3e-06,
|
| 768 |
+
"loss": 0.0122,
|
| 769 |
+
"step": 76
|
| 770 |
+
},
|
| 771 |
+
{
|
| 772 |
+
"completion_length": 241.89583587646484,
|
| 773 |
+
"epoch": 0.08213333333333334,
|
| 774 |
+
"grad_norm": 0.0918169841170311,
|
| 775 |
+
"kl": 0.002860512933693826,
|
| 776 |
+
"learning_rate": 3e-06,
|
| 777 |
+
"loss": 0.0417,
|
| 778 |
+
"reward": 1.2968750298023224,
|
| 779 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.5468750149011612,
|
| 780 |
+
"rewards/correctness_reward_func_math": 0.7499999850988388,
|
| 781 |
+
"step": 77
|
| 782 |
+
},
|
| 783 |
+
{
|
| 784 |
+
"epoch": 0.0832,
|
| 785 |
+
"grad_norm": 0.09818709641695023,
|
| 786 |
+
"kl": 0.0027386642759665847,
|
| 787 |
+
"learning_rate": 3e-06,
|
| 788 |
+
"loss": 0.0418,
|
| 789 |
+
"step": 78
|
| 790 |
+
},
|
| 791 |
+
{
|
| 792 |
+
"completion_length": 250.05209350585938,
|
| 793 |
+
"epoch": 0.08426666666666667,
|
| 794 |
+
"grad_norm": 0.12854671478271484,
|
| 795 |
+
"kl": 0.002327249851077795,
|
| 796 |
+
"learning_rate": 3e-06,
|
| 797 |
+
"loss": -0.0002,
|
| 798 |
+
"reward": 1.0885416865348816,
|
| 799 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.609375,
|
| 800 |
+
"rewards/correctness_reward_func_math": 0.4791666716337204,
|
| 801 |
+
"step": 79
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 0.08533333333333333,
|
| 805 |
+
"grad_norm": 0.13319538533687592,
|
| 806 |
+
"kl": 0.0023979160469025373,
|
| 807 |
+
"learning_rate": 3e-06,
|
| 808 |
+
"loss": -0.0004,
|
| 809 |
+
"step": 80
|
| 810 |
+
},
|
| 811 |
+
{
|
| 812 |
+
"completion_length": 244.50000762939453,
|
| 813 |
+
"epoch": 0.0864,
|
| 814 |
+
"grad_norm": 0.1296762228012085,
|
| 815 |
+
"kl": 0.0030258659971877933,
|
| 816 |
+
"learning_rate": 3e-06,
|
| 817 |
+
"loss": 0.123,
|
| 818 |
+
"reward": 1.4270833730697632,
|
| 819 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.65625,
|
| 820 |
+
"rewards/correctness_reward_func_math": 0.7708333432674408,
|
| 821 |
+
"step": 81
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"epoch": 0.08746666666666666,
|
| 825 |
+
"grad_norm": 0.11535439640283585,
|
| 826 |
+
"kl": 0.0028890471439808607,
|
| 827 |
+
"learning_rate": 3e-06,
|
| 828 |
+
"loss": 0.1225,
|
| 829 |
+
"step": 82
|
| 830 |
+
},
|
| 831 |
+
{
|
| 832 |
+
"completion_length": 246.8541717529297,
|
| 833 |
+
"epoch": 0.08853333333333334,
|
| 834 |
+
"grad_norm": 0.10547207295894623,
|
| 835 |
+
"kl": 0.003146483562886715,
|
| 836 |
+
"learning_rate": 3e-06,
|
| 837 |
+
"loss": 0.1346,
|
| 838 |
+
"reward": 1.4427083730697632,
|
| 839 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.671875,
|
| 840 |
+
"rewards/correctness_reward_func_math": 0.7708333432674408,
|
| 841 |
+
"step": 83
|
| 842 |
+
},
|
| 843 |
+
{
|
| 844 |
+
"epoch": 0.0896,
|
| 845 |
+
"grad_norm": 0.1115085780620575,
|
| 846 |
+
"kl": 0.003225739812478423,
|
| 847 |
+
"learning_rate": 3e-06,
|
| 848 |
+
"loss": 0.1347,
|
| 849 |
+
"step": 84
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"completion_length": 245.43750762939453,
|
| 853 |
+
"epoch": 0.09066666666666667,
|
| 854 |
+
"grad_norm": 0.10426100343465805,
|
| 855 |
+
"kl": 0.0026978254318237305,
|
| 856 |
+
"learning_rate": 3e-06,
|
| 857 |
+
"loss": -0.0577,
|
| 858 |
+
"reward": 1.0000000298023224,
|
| 859 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.6041666567325592,
|
| 860 |
+
"rewards/correctness_reward_func_math": 0.3958333358168602,
|
| 861 |
+
"step": 85
|
| 862 |
+
},
|
| 863 |
+
{
|
| 864 |
+
"epoch": 0.09173333333333333,
|
| 865 |
+
"grad_norm": 0.10135605931282043,
|
| 866 |
+
"kl": 0.0027983213076367974,
|
| 867 |
+
"learning_rate": 3e-06,
|
| 868 |
+
"loss": -0.0582,
|
| 869 |
+
"step": 86
|
| 870 |
+
},
|
| 871 |
+
{
|
| 872 |
+
"completion_length": 244.25000762939453,
|
| 873 |
+
"epoch": 0.0928,
|
| 874 |
+
"grad_norm": 0.13423067331314087,
|
| 875 |
+
"kl": 0.003659309819340706,
|
| 876 |
+
"learning_rate": 3e-06,
|
| 877 |
+
"loss": 0.0473,
|
| 878 |
+
"reward": 1.3697916865348816,
|
| 879 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.6197916567325592,
|
| 880 |
+
"rewards/correctness_reward_func_math": 0.75,
|
| 881 |
+
"step": 87
|
| 882 |
+
},
|
| 883 |
+
{
|
| 884 |
+
"epoch": 0.09386666666666667,
|
| 885 |
+
"grad_norm": 0.13260383903980255,
|
| 886 |
+
"kl": 0.0036486699245870113,
|
| 887 |
+
"learning_rate": 3e-06,
|
| 888 |
+
"loss": 0.0467,
|
| 889 |
+
"step": 88
|
| 890 |
+
},
|
| 891 |
+
{
|
| 892 |
+
"completion_length": 250.84375762939453,
|
| 893 |
+
"epoch": 0.09493333333333333,
|
| 894 |
+
"grad_norm": 0.08243498206138611,
|
| 895 |
+
"kl": 0.0021177935414016247,
|
| 896 |
+
"learning_rate": 3e-06,
|
| 897 |
+
"loss": -0.022,
|
| 898 |
+
"reward": 0.7708333730697632,
|
| 899 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.4791666716337204,
|
| 900 |
+
"rewards/correctness_reward_func_math": 0.2916666641831398,
|
| 901 |
+
"step": 89
|
| 902 |
+
},
|
| 903 |
+
{
|
| 904 |
+
"epoch": 0.096,
|
| 905 |
+
"grad_norm": 0.08511421829462051,
|
| 906 |
+
"kl": 0.0021853672806173563,
|
| 907 |
+
"learning_rate": 3e-06,
|
| 908 |
+
"loss": -0.0225,
|
| 909 |
+
"step": 90
|
| 910 |
+
},
|
| 911 |
+
{
|
| 912 |
+
"completion_length": 246.9479217529297,
|
| 913 |
+
"epoch": 0.09706666666666666,
|
| 914 |
+
"grad_norm": 0.08923275023698807,
|
| 915 |
+
"kl": 0.0031975428573787212,
|
| 916 |
+
"learning_rate": 3e-06,
|
| 917 |
+
"loss": -0.0756,
|
| 918 |
+
"reward": 1.1145833730697632,
|
| 919 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.59375,
|
| 920 |
+
"rewards/correctness_reward_func_math": 0.5208333283662796,
|
| 921 |
+
"step": 91
|
| 922 |
+
},
|
| 923 |
+
{
|
| 924 |
+
"epoch": 0.09813333333333334,
|
| 925 |
+
"grad_norm": 0.09071174263954163,
|
| 926 |
+
"kl": 0.003432211116887629,
|
| 927 |
+
"learning_rate": 3e-06,
|
| 928 |
+
"loss": -0.0761,
|
| 929 |
+
"step": 92
|
| 930 |
+
},
|
| 931 |
+
{
|
| 932 |
+
"completion_length": 236.875,
|
| 933 |
+
"epoch": 0.0992,
|
| 934 |
+
"grad_norm": 0.1429155021905899,
|
| 935 |
+
"kl": 0.004054961493238807,
|
| 936 |
+
"learning_rate": 3e-06,
|
| 937 |
+
"loss": -0.0223,
|
| 938 |
+
"reward": 1.4114583730697632,
|
| 939 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.6822916567325592,
|
| 940 |
+
"rewards/correctness_reward_func_math": 0.729166641831398,
|
| 941 |
+
"step": 93
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"epoch": 0.10026666666666667,
|
| 945 |
+
"grad_norm": 0.17755988240242004,
|
| 946 |
+
"kl": 0.004182609496638179,
|
| 947 |
+
"learning_rate": 3e-06,
|
| 948 |
+
"loss": -0.0215,
|
| 949 |
+
"step": 94
|
| 950 |
+
},
|
| 951 |
+
{
|
| 952 |
+
"completion_length": 240.81250762939453,
|
| 953 |
+
"epoch": 0.10133333333333333,
|
| 954 |
+
"grad_norm": 0.058556366711854935,
|
| 955 |
+
"kl": 0.0032166338060051203,
|
| 956 |
+
"learning_rate": 3e-06,
|
| 957 |
+
"loss": 0.0262,
|
| 958 |
+
"reward": 0.96875,
|
| 959 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.5520833134651184,
|
| 960 |
+
"rewards/correctness_reward_func_math": 0.4166666716337204,
|
| 961 |
+
"step": 95
|
| 962 |
+
},
|
| 963 |
+
{
|
| 964 |
+
"epoch": 0.1024,
|
| 965 |
+
"grad_norm": 0.055329516530036926,
|
| 966 |
+
"kl": 0.0033893719082698226,
|
| 967 |
+
"learning_rate": 3e-06,
|
| 968 |
+
"loss": 0.0259,
|
| 969 |
+
"step": 96
|
| 970 |
+
},
|
| 971 |
+
{
|
| 972 |
+
"completion_length": 239.7916717529297,
|
| 973 |
+
"epoch": 0.10346666666666667,
|
| 974 |
+
"grad_norm": 0.12691481411457062,
|
| 975 |
+
"kl": 0.004895984660834074,
|
| 976 |
+
"learning_rate": 3e-06,
|
| 977 |
+
"loss": 0.0493,
|
| 978 |
+
"reward": 1.0572916865348816,
|
| 979 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.640625,
|
| 980 |
+
"rewards/correctness_reward_func_math": 0.4166666567325592,
|
| 981 |
+
"step": 97
|
| 982 |
+
},
|
| 983 |
+
{
|
| 984 |
+
"epoch": 0.10453333333333334,
|
| 985 |
+
"grad_norm": 0.12851038575172424,
|
| 986 |
+
"kl": 0.004392273956909776,
|
| 987 |
+
"learning_rate": 3e-06,
|
| 988 |
+
"loss": 0.0489,
|
| 989 |
+
"step": 98
|
| 990 |
+
},
|
| 991 |
+
{
|
| 992 |
+
"completion_length": 243.52084350585938,
|
| 993 |
+
"epoch": 0.1056,
|
| 994 |
+
"grad_norm": 0.07937366515398026,
|
| 995 |
+
"kl": 0.0044018065091222525,
|
| 996 |
+
"learning_rate": 3e-06,
|
| 997 |
+
"loss": 0.0643,
|
| 998 |
+
"reward": 1.1562500298023224,
|
| 999 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.5729166567325592,
|
| 1000 |
+
"rewards/correctness_reward_func_math": 0.5833333283662796,
|
| 1001 |
+
"step": 99
|
| 1002 |
+
},
|
| 1003 |
+
{
|
| 1004 |
+
"epoch": 0.10666666666666667,
|
| 1005 |
+
"grad_norm": 0.08331720530986786,
|
| 1006 |
+
"kl": 0.0046686476562172174,
|
| 1007 |
+
"learning_rate": 3e-06,
|
| 1008 |
+
"loss": 0.0648,
|
| 1009 |
+
"step": 100
|
| 1010 |
+
},
|
| 1011 |
+
{
|
| 1012 |
+
"completion_length": 250.5104217529297,
|
| 1013 |
+
"epoch": 0.10773333333333333,
|
| 1014 |
+
"grad_norm": 0.1329662948846817,
|
| 1015 |
+
"kl": 0.004440172808244824,
|
| 1016 |
+
"learning_rate": 3e-06,
|
| 1017 |
+
"loss": 0.1007,
|
| 1018 |
+
"reward": 1.2395833730697632,
|
| 1019 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.6354166567325592,
|
| 1020 |
+
"rewards/correctness_reward_func_math": 0.6041666567325592,
|
| 1021 |
+
"step": 101
|
| 1022 |
+
},
|
| 1023 |
+
{
|
| 1024 |
+
"epoch": 0.1088,
|
| 1025 |
+
"grad_norm": 0.12988623976707458,
|
| 1026 |
+
"kl": 0.004622329259291291,
|
| 1027 |
+
"learning_rate": 3e-06,
|
| 1028 |
+
"loss": 0.1006,
|
| 1029 |
+
"step": 102
|
| 1030 |
+
},
|
| 1031 |
+
{
|
| 1032 |
+
"completion_length": 247.4479217529297,
|
| 1033 |
+
"epoch": 0.10986666666666667,
|
| 1034 |
+
"grad_norm": 0.10841701924800873,
|
| 1035 |
+
"kl": 0.003746375907212496,
|
| 1036 |
+
"learning_rate": 3e-06,
|
| 1037 |
+
"loss": 0.0357,
|
| 1038 |
+
"reward": 1.046875,
|
| 1039 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.5885416567325592,
|
| 1040 |
+
"rewards/correctness_reward_func_math": 0.4583333283662796,
|
| 1041 |
+
"step": 103
|
| 1042 |
+
},
|
| 1043 |
+
{
|
| 1044 |
+
"epoch": 0.11093333333333333,
|
| 1045 |
+
"grad_norm": 0.10790833830833435,
|
| 1046 |
+
"kl": 0.0037733702920377254,
|
| 1047 |
+
"learning_rate": 3e-06,
|
| 1048 |
+
"loss": 0.0355,
|
| 1049 |
+
"step": 104
|
| 1050 |
+
},
|
| 1051 |
+
{
|
| 1052 |
+
"completion_length": 246.00000762939453,
|
| 1053 |
+
"epoch": 0.112,
|
| 1054 |
+
"grad_norm": 0.06712818145751953,
|
| 1055 |
+
"kl": 0.004377630655653775,
|
| 1056 |
+
"learning_rate": 3e-06,
|
| 1057 |
+
"loss": 0.0165,
|
| 1058 |
+
"reward": 1.359375,
|
| 1059 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.6302083432674408,
|
| 1060 |
+
"rewards/correctness_reward_func_math": 0.7291666865348816,
|
| 1061 |
+
"step": 105
|
| 1062 |
+
},
|
| 1063 |
+
{
|
| 1064 |
+
"epoch": 0.11306666666666666,
|
| 1065 |
+
"grad_norm": 0.06803179532289505,
|
| 1066 |
+
"kl": 0.004485110635869205,
|
| 1067 |
+
"learning_rate": 3e-06,
|
| 1068 |
+
"loss": 0.0163,
|
| 1069 |
+
"step": 106
|
| 1070 |
+
},
|
| 1071 |
+
{
|
| 1072 |
+
"completion_length": 252.03125,
|
| 1073 |
+
"epoch": 0.11413333333333334,
|
| 1074 |
+
"grad_norm": 0.12938225269317627,
|
| 1075 |
+
"kl": 0.004964495077729225,
|
| 1076 |
+
"learning_rate": 3e-06,
|
| 1077 |
+
"loss": 0.0035,
|
| 1078 |
+
"reward": 1.6041666865348816,
|
| 1079 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.625,
|
| 1080 |
+
"rewards/correctness_reward_func_math": 0.9791666865348816,
|
| 1081 |
+
"step": 107
|
| 1082 |
+
},
|
| 1083 |
+
{
|
| 1084 |
+
"epoch": 0.1152,
|
| 1085 |
+
"grad_norm": 0.13050013780593872,
|
| 1086 |
+
"kl": 0.00515007833018899,
|
| 1087 |
+
"learning_rate": 3e-06,
|
| 1088 |
+
"loss": 0.0028,
|
| 1089 |
+
"step": 108
|
| 1090 |
+
},
|
| 1091 |
+
{
|
| 1092 |
+
"completion_length": 248.77084350585938,
|
| 1093 |
+
"epoch": 0.11626666666666667,
|
| 1094 |
+
"grad_norm": 0.0982803925871849,
|
| 1095 |
+
"kl": 0.004882118897512555,
|
| 1096 |
+
"learning_rate": 3e-06,
|
| 1097 |
+
"loss": 0.0344,
|
| 1098 |
+
"reward": 1.1458333730697632,
|
| 1099 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.6458333432674408,
|
| 1100 |
+
"rewards/correctness_reward_func_math": 0.5000000149011612,
|
| 1101 |
+
"step": 109
|
| 1102 |
+
},
|
| 1103 |
+
{
|
| 1104 |
+
"epoch": 0.11733333333333333,
|
| 1105 |
+
"grad_norm": 0.10258838534355164,
|
| 1106 |
+
"kl": 0.004875096259638667,
|
| 1107 |
+
"learning_rate": 3e-06,
|
| 1108 |
+
"loss": 0.034,
|
| 1109 |
+
"step": 110
|
| 1110 |
+
},
|
| 1111 |
+
{
|
| 1112 |
+
"completion_length": 248.0416717529297,
|
| 1113 |
+
"epoch": 0.1184,
|
| 1114 |
+
"grad_norm": 0.10756522417068481,
|
| 1115 |
+
"kl": 0.0036248815013095737,
|
| 1116 |
+
"learning_rate": 3e-06,
|
| 1117 |
+
"loss": 0.0517,
|
| 1118 |
+
"reward": 0.8593750298023224,
|
| 1119 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.5677083134651184,
|
| 1120 |
+
"rewards/correctness_reward_func_math": 0.2916666716337204,
|
| 1121 |
+
"step": 111
|
| 1122 |
+
},
|
| 1123 |
+
{
|
| 1124 |
+
"epoch": 0.11946666666666667,
|
| 1125 |
+
"grad_norm": 0.09450583159923553,
|
| 1126 |
+
"kl": 0.0038704528706148267,
|
| 1127 |
+
"learning_rate": 3e-06,
|
| 1128 |
+
"loss": 0.0517,
|
| 1129 |
+
"step": 112
|
| 1130 |
+
},
|
| 1131 |
+
{
|
| 1132 |
+
"completion_length": 230.9166717529297,
|
| 1133 |
+
"epoch": 0.12053333333333334,
|
| 1134 |
+
"grad_norm": 0.0950523242354393,
|
| 1135 |
+
"kl": 0.004498519003391266,
|
| 1136 |
+
"learning_rate": 3e-06,
|
| 1137 |
+
"loss": 0.0572,
|
| 1138 |
+
"reward": 1.4583333730697632,
|
| 1139 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.6666666567325592,
|
| 1140 |
+
"rewards/correctness_reward_func_math": 0.791666641831398,
|
| 1141 |
+
"step": 113
|
| 1142 |
+
},
|
| 1143 |
+
{
|
| 1144 |
+
"epoch": 0.1216,
|
| 1145 |
+
"grad_norm": 0.09974662959575653,
|
| 1146 |
+
"kl": 0.00460103340446949,
|
| 1147 |
+
"learning_rate": 3e-06,
|
| 1148 |
+
"loss": 0.0566,
|
| 1149 |
+
"step": 114
|
| 1150 |
+
},
|
| 1151 |
+
{
|
| 1152 |
+
"completion_length": 234.34375762939453,
|
| 1153 |
+
"epoch": 0.12266666666666666,
|
| 1154 |
+
"grad_norm": 0.07447686791419983,
|
| 1155 |
+
"kl": 0.005343697499483824,
|
| 1156 |
+
"learning_rate": 3e-06,
|
| 1157 |
+
"loss": 0.0391,
|
| 1158 |
+
"reward": 0.9895833730697632,
|
| 1159 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.6354166567325592,
|
| 1160 |
+
"rewards/correctness_reward_func_math": 0.3541666567325592,
|
| 1161 |
+
"step": 115
|
| 1162 |
+
},
|
| 1163 |
+
{
|
| 1164 |
+
"epoch": 0.12373333333333333,
|
| 1165 |
+
"grad_norm": 0.07214193046092987,
|
| 1166 |
+
"kl": 0.0053415135480463505,
|
| 1167 |
+
"learning_rate": 3e-06,
|
| 1168 |
+
"loss": 0.0391,
|
| 1169 |
+
"step": 116
|
| 1170 |
+
},
|
| 1171 |
+
{
|
| 1172 |
+
"completion_length": 237.39583587646484,
|
| 1173 |
+
"epoch": 0.1248,
|
| 1174 |
+
"grad_norm": 0.09537629038095474,
|
| 1175 |
+
"kl": 0.005689415615051985,
|
| 1176 |
+
"learning_rate": 3e-06,
|
| 1177 |
+
"loss": 0.0707,
|
| 1178 |
+
"reward": 1.2083333730697632,
|
| 1179 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.625,
|
| 1180 |
+
"rewards/correctness_reward_func_math": 0.5833333432674408,
|
| 1181 |
+
"step": 117
|
| 1182 |
+
},
|
| 1183 |
+
{
|
| 1184 |
+
"epoch": 0.12586666666666665,
|
| 1185 |
+
"grad_norm": 0.10276316851377487,
|
| 1186 |
+
"kl": 0.006041191751137376,
|
| 1187 |
+
"learning_rate": 3e-06,
|
| 1188 |
+
"loss": 0.0706,
|
| 1189 |
+
"step": 118
|
| 1190 |
+
},
|
| 1191 |
+
{
|
| 1192 |
+
"completion_length": 242.62500762939453,
|
| 1193 |
+
"epoch": 0.12693333333333334,
|
| 1194 |
+
"grad_norm": 0.09985591471195221,
|
| 1195 |
+
"kl": 0.006303998176008463,
|
| 1196 |
+
"learning_rate": 3e-06,
|
| 1197 |
+
"loss": 0.0517,
|
| 1198 |
+
"reward": 1.3125000596046448,
|
| 1199 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.6666666567325592,
|
| 1200 |
+
"rewards/correctness_reward_func_math": 0.6458333432674408,
|
| 1201 |
+
"step": 119
|
| 1202 |
+
},
|
| 1203 |
+
{
|
| 1204 |
+
"epoch": 0.128,
|
| 1205 |
+
"grad_norm": 0.09995035827159882,
|
| 1206 |
+
"kl": 0.006645566551014781,
|
| 1207 |
+
"learning_rate": 3e-06,
|
| 1208 |
+
"loss": 0.0518,
|
| 1209 |
+
"step": 120
|
| 1210 |
+
},
|
| 1211 |
+
{
|
| 1212 |
+
"completion_length": 251.70833587646484,
|
| 1213 |
+
"epoch": 0.12906666666666666,
|
| 1214 |
+
"grad_norm": 0.08751357346773148,
|
| 1215 |
+
"kl": 0.005795367527753115,
|
| 1216 |
+
"learning_rate": 3e-06,
|
| 1217 |
+
"loss": 0.0718,
|
| 1218 |
+
"reward": 1.3854166865348816,
|
| 1219 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.6354166865348816,
|
| 1220 |
+
"rewards/correctness_reward_func_math": 0.75,
|
| 1221 |
+
"step": 121
|
| 1222 |
+
},
|
| 1223 |
+
{
|
| 1224 |
+
"epoch": 0.13013333333333332,
|
| 1225 |
+
"grad_norm": 0.09613488614559174,
|
| 1226 |
+
"kl": 0.005708918673917651,
|
| 1227 |
+
"learning_rate": 3e-06,
|
| 1228 |
+
"loss": 0.0719,
|
| 1229 |
+
"step": 122
|
| 1230 |
+
},
|
| 1231 |
+
{
|
| 1232 |
+
"completion_length": 235.23958587646484,
|
| 1233 |
+
"epoch": 0.1312,
|
| 1234 |
+
"grad_norm": 0.15242788195610046,
|
| 1235 |
+
"kl": 0.0065653217025101185,
|
| 1236 |
+
"learning_rate": 3e-06,
|
| 1237 |
+
"loss": 0.1279,
|
| 1238 |
+
"reward": 1.3802083730697632,
|
| 1239 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.6510416567325592,
|
| 1240 |
+
"rewards/correctness_reward_func_math": 0.729166641831398,
|
| 1241 |
+
"step": 123
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"epoch": 0.13226666666666667,
|
| 1245 |
+
"grad_norm": 0.1486300230026245,
|
| 1246 |
+
"kl": 0.006940900115296245,
|
| 1247 |
+
"learning_rate": 3e-06,
|
| 1248 |
+
"loss": 0.1283,
|
| 1249 |
+
"step": 124
|
| 1250 |
+
},
|
| 1251 |
+
{
|
| 1252 |
+
"completion_length": 244.3229217529297,
|
| 1253 |
+
"epoch": 0.13333333333333333,
|
| 1254 |
+
"grad_norm": 0.0940360352396965,
|
| 1255 |
+
"kl": 0.004931023344397545,
|
| 1256 |
+
"learning_rate": 3e-06,
|
| 1257 |
+
"loss": 0.0278,
|
| 1258 |
+
"reward": 0.9531250298023224,
|
| 1259 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.4947916567325592,
|
| 1260 |
+
"rewards/correctness_reward_func_math": 0.4583333283662796,
|
| 1261 |
+
"step": 125
|
| 1262 |
+
},
|
| 1263 |
+
{
|
| 1264 |
+
"epoch": 0.1344,
|
| 1265 |
+
"grad_norm": 0.09261205792427063,
|
| 1266 |
+
"kl": 0.00510846171528101,
|
| 1267 |
+
"learning_rate": 3e-06,
|
| 1268 |
+
"loss": 0.0273,
|
| 1269 |
+
"step": 126
|
| 1270 |
+
},
|
| 1271 |
+
{
|
| 1272 |
+
"completion_length": 244.02083587646484,
|
| 1273 |
+
"epoch": 0.13546666666666668,
|
| 1274 |
+
"grad_norm": 0.15479284524917603,
|
| 1275 |
+
"kl": 0.008449542336165905,
|
| 1276 |
+
"learning_rate": 3e-06,
|
| 1277 |
+
"loss": -0.0406,
|
| 1278 |
+
"reward": 1.0989583432674408,
|
| 1279 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.578125,
|
| 1280 |
+
"rewards/correctness_reward_func_math": 0.5208333432674408,
|
| 1281 |
+
"step": 127
|
| 1282 |
+
},
|
| 1283 |
+
{
|
| 1284 |
+
"epoch": 0.13653333333333334,
|
| 1285 |
+
"grad_norm": 0.15614548325538635,
|
| 1286 |
+
"kl": 0.008300963789224625,
|
| 1287 |
+
"learning_rate": 3e-06,
|
| 1288 |
+
"loss": -0.0413,
|
| 1289 |
+
"step": 128
|
| 1290 |
+
},
|
| 1291 |
+
{
|
| 1292 |
+
"completion_length": 241.4166717529297,
|
| 1293 |
+
"epoch": 0.1376,
|
| 1294 |
+
"grad_norm": 0.13294053077697754,
|
| 1295 |
+
"kl": 0.007204608526080847,
|
| 1296 |
+
"learning_rate": 3e-06,
|
| 1297 |
+
"loss": 0.0396,
|
| 1298 |
+
"reward": 1.1510416865348816,
|
| 1299 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.609375,
|
| 1300 |
+
"rewards/correctness_reward_func_math": 0.5416666716337204,
|
| 1301 |
+
"step": 129
|
| 1302 |
+
},
|
| 1303 |
+
{
|
| 1304 |
+
"epoch": 0.13866666666666666,
|
| 1305 |
+
"grad_norm": 0.13154013454914093,
|
| 1306 |
+
"kl": 0.007467167917639017,
|
| 1307 |
+
"learning_rate": 3e-06,
|
| 1308 |
+
"loss": 0.0399,
|
| 1309 |
+
"step": 130
|
| 1310 |
+
},
|
| 1311 |
+
{
|
| 1312 |
+
"completion_length": 240.6041717529297,
|
| 1313 |
+
"epoch": 0.13973333333333332,
|
| 1314 |
+
"grad_norm": 0.09483897686004639,
|
| 1315 |
+
"kl": 0.007113585248589516,
|
| 1316 |
+
"learning_rate": 3e-06,
|
| 1317 |
+
"loss": 0.0289,
|
| 1318 |
+
"reward": 1.1666666865348816,
|
| 1319 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.6041666567325592,
|
| 1320 |
+
"rewards/correctness_reward_func_math": 0.5625,
|
| 1321 |
+
"step": 131
|
| 1322 |
+
},
|
| 1323 |
+
{
|
| 1324 |
+
"epoch": 0.1408,
|
| 1325 |
+
"grad_norm": 0.09663183242082596,
|
| 1326 |
+
"kl": 0.007714268751442432,
|
| 1327 |
+
"learning_rate": 3e-06,
|
| 1328 |
+
"loss": 0.0287,
|
| 1329 |
+
"step": 132
|
| 1330 |
+
},
|
| 1331 |
+
{
|
| 1332 |
+
"completion_length": 240.0625,
|
| 1333 |
+
"epoch": 0.14186666666666667,
|
| 1334 |
+
"grad_norm": 0.11623935401439667,
|
| 1335 |
+
"kl": 0.009474250487983227,
|
| 1336 |
+
"learning_rate": 3e-06,
|
| 1337 |
+
"loss": -0.0188,
|
| 1338 |
+
"reward": 1.1614583730697632,
|
| 1339 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.578125,
|
| 1340 |
+
"rewards/correctness_reward_func_math": 0.5833333283662796,
|
| 1341 |
+
"step": 133
|
| 1342 |
+
},
|
| 1343 |
+
{
|
| 1344 |
+
"epoch": 0.14293333333333333,
|
| 1345 |
+
"grad_norm": 0.11035683006048203,
|
| 1346 |
+
"kl": 0.0097966562025249,
|
| 1347 |
+
"learning_rate": 3e-06,
|
| 1348 |
+
"loss": -0.0192,
|
| 1349 |
+
"step": 134
|
| 1350 |
+
},
|
| 1351 |
+
{
|
| 1352 |
+
"completion_length": 245.53125,
|
| 1353 |
+
"epoch": 0.144,
|
| 1354 |
+
"grad_norm": 0.08813372999429703,
|
| 1355 |
+
"kl": 0.009550870396196842,
|
| 1356 |
+
"learning_rate": 3e-06,
|
| 1357 |
+
"loss": -0.0355,
|
| 1358 |
+
"reward": 1.4114583730697632,
|
| 1359 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.6197916865348816,
|
| 1360 |
+
"rewards/correctness_reward_func_math": 0.7916666865348816,
|
| 1361 |
+
"step": 135
|
| 1362 |
+
},
|
| 1363 |
+
{
|
| 1364 |
+
"epoch": 0.14506666666666668,
|
| 1365 |
+
"grad_norm": 0.08638645708560944,
|
| 1366 |
+
"kl": 0.009892939124256372,
|
| 1367 |
+
"learning_rate": 3e-06,
|
| 1368 |
+
"loss": -0.0356,
|
| 1369 |
+
"step": 136
|
| 1370 |
+
},
|
| 1371 |
+
{
|
| 1372 |
+
"completion_length": 238.7604217529297,
|
| 1373 |
+
"epoch": 0.14613333333333334,
|
| 1374 |
+
"grad_norm": 0.09811553359031677,
|
| 1375 |
+
"kl": 0.00993044814094901,
|
| 1376 |
+
"learning_rate": 3e-06,
|
| 1377 |
+
"loss": -0.0298,
|
| 1378 |
+
"reward": 1.3125,
|
| 1379 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.625,
|
| 1380 |
+
"rewards/correctness_reward_func_math": 0.6875,
|
| 1381 |
+
"step": 137
|
| 1382 |
+
},
|
| 1383 |
+
{
|
| 1384 |
+
"epoch": 0.1472,
|
| 1385 |
+
"grad_norm": 0.10006941854953766,
|
| 1386 |
+
"kl": 0.010414571966975927,
|
| 1387 |
+
"learning_rate": 3e-06,
|
| 1388 |
+
"loss": -0.0301,
|
| 1389 |
+
"step": 138
|
| 1390 |
+
},
|
| 1391 |
+
{
|
| 1392 |
+
"completion_length": 241.1875,
|
| 1393 |
+
"epoch": 0.14826666666666666,
|
| 1394 |
+
"grad_norm": 0.09777302294969559,
|
| 1395 |
+
"kl": 0.008060592226684093,
|
| 1396 |
+
"learning_rate": 3e-06,
|
| 1397 |
+
"loss": 0.0531,
|
| 1398 |
+
"reward": 1.3437500596046448,
|
| 1399 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.4687499850988388,
|
| 1400 |
+
"rewards/correctness_reward_func_math": 0.8749999701976776,
|
| 1401 |
+
"step": 139
|
| 1402 |
+
},
|
| 1403 |
+
{
|
| 1404 |
+
"epoch": 0.14933333333333335,
|
| 1405 |
+
"grad_norm": 0.1021089032292366,
|
| 1406 |
+
"kl": 0.0083432886749506,
|
| 1407 |
+
"learning_rate": 3e-06,
|
| 1408 |
+
"loss": 0.0534,
|
| 1409 |
+
"step": 140
|
| 1410 |
+
},
|
| 1411 |
+
{
|
| 1412 |
+
"completion_length": 249.84375762939453,
|
| 1413 |
+
"epoch": 0.1504,
|
| 1414 |
+
"grad_norm": 0.14115490019321442,
|
| 1415 |
+
"kl": 0.009720872156322002,
|
| 1416 |
+
"learning_rate": 3e-06,
|
| 1417 |
+
"loss": 0.0429,
|
| 1418 |
+
"reward": 0.9427083432674408,
|
| 1419 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.671875,
|
| 1420 |
+
"rewards/correctness_reward_func_math": 0.2708333358168602,
|
| 1421 |
+
"step": 141
|
| 1422 |
+
},
|
| 1423 |
+
{
|
| 1424 |
+
"epoch": 0.15146666666666667,
|
| 1425 |
+
"grad_norm": 0.1028415858745575,
|
| 1426 |
+
"kl": 0.009948289953172207,
|
| 1427 |
+
"learning_rate": 3e-06,
|
| 1428 |
+
"loss": 0.0428,
|
| 1429 |
+
"step": 142
|
| 1430 |
+
},
|
| 1431 |
+
{
|
| 1432 |
+
"completion_length": 232.7916717529297,
|
| 1433 |
+
"epoch": 0.15253333333333333,
|
| 1434 |
+
"grad_norm": 0.09448906034231186,
|
| 1435 |
+
"kl": 0.010104351677000523,
|
| 1436 |
+
"learning_rate": 3e-06,
|
| 1437 |
+
"loss": 0.0293,
|
| 1438 |
+
"reward": 1.3020833730697632,
|
| 1439 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.6770833432674408,
|
| 1440 |
+
"rewards/correctness_reward_func_math": 0.6250000149011612,
|
| 1441 |
+
"step": 143
|
| 1442 |
+
},
|
| 1443 |
+
{
|
| 1444 |
+
"epoch": 0.1536,
|
| 1445 |
+
"grad_norm": 0.10912659764289856,
|
| 1446 |
+
"kl": 0.010456445161253214,
|
| 1447 |
+
"learning_rate": 3e-06,
|
| 1448 |
+
"loss": 0.03,
|
| 1449 |
+
"step": 144
|
| 1450 |
+
},
|
| 1451 |
+
{
|
| 1452 |
+
"completion_length": 240.39583587646484,
|
| 1453 |
+
"epoch": 0.15466666666666667,
|
| 1454 |
+
"grad_norm": 0.09563589841127396,
|
| 1455 |
+
"kl": 0.013137076515704393,
|
| 1456 |
+
"learning_rate": 3e-06,
|
| 1457 |
+
"loss": 0.0798,
|
| 1458 |
+
"reward": 1.28125,
|
| 1459 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.6979166865348816,
|
| 1460 |
+
"rewards/correctness_reward_func_math": 0.583333320915699,
|
| 1461 |
+
"step": 145
|
| 1462 |
+
},
|
| 1463 |
+
{
|
| 1464 |
+
"epoch": 0.15573333333333333,
|
| 1465 |
+
"grad_norm": 0.10613968223333359,
|
| 1466 |
+
"kl": 0.013441369403153658,
|
| 1467 |
+
"learning_rate": 3e-06,
|
| 1468 |
+
"loss": 0.0786,
|
| 1469 |
+
"step": 146
|
| 1470 |
+
},
|
| 1471 |
+
{
|
| 1472 |
+
"completion_length": 245.61458587646484,
|
| 1473 |
+
"epoch": 0.1568,
|
| 1474 |
+
"grad_norm": 0.1437290906906128,
|
| 1475 |
+
"kl": 0.012657003942877054,
|
| 1476 |
+
"learning_rate": 3e-06,
|
| 1477 |
+
"loss": 0.0246,
|
| 1478 |
+
"reward": 1.4270833730697632,
|
| 1479 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.6145833432674408,
|
| 1480 |
+
"rewards/correctness_reward_func_math": 0.8125,
|
| 1481 |
+
"step": 147
|
| 1482 |
+
},
|
| 1483 |
+
{
|
| 1484 |
+
"epoch": 0.15786666666666666,
|
| 1485 |
+
"grad_norm": 0.14002259075641632,
|
| 1486 |
+
"kl": 0.012809256091713905,
|
| 1487 |
+
"learning_rate": 3e-06,
|
| 1488 |
+
"loss": 0.024,
|
| 1489 |
+
"step": 148
|
| 1490 |
+
},
|
| 1491 |
+
{
|
| 1492 |
+
"completion_length": 241.08334350585938,
|
| 1493 |
+
"epoch": 0.15893333333333334,
|
| 1494 |
+
"grad_norm": 0.08180505782365799,
|
| 1495 |
+
"kl": 0.01138412905856967,
|
| 1496 |
+
"learning_rate": 3e-06,
|
| 1497 |
+
"loss": 0.0151,
|
| 1498 |
+
"reward": 1.0572916865348816,
|
| 1499 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.5989583134651184,
|
| 1500 |
+
"rewards/correctness_reward_func_math": 0.4583333432674408,
|
| 1501 |
+
"step": 149
|
| 1502 |
+
},
|
| 1503 |
+
{
|
| 1504 |
+
"epoch": 0.16,
|
| 1505 |
+
"grad_norm": 0.08484908193349838,
|
| 1506 |
+
"kl": 0.01177709735929966,
|
| 1507 |
+
"learning_rate": 3e-06,
|
| 1508 |
+
"loss": 0.0147,
|
| 1509 |
+
"step": 150
|
| 1510 |
+
},
|
| 1511 |
+
{
|
| 1512 |
+
"completion_length": 242.2916717529297,
|
| 1513 |
+
"epoch": 0.16106666666666666,
|
| 1514 |
+
"grad_norm": 0.1212899312376976,
|
| 1515 |
+
"kl": 0.013707389123737812,
|
| 1516 |
+
"learning_rate": 3e-06,
|
| 1517 |
+
"loss": 0.1331,
|
| 1518 |
+
"reward": 1.3177083730697632,
|
| 1519 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.6510416567325592,
|
| 1520 |
+
"rewards/correctness_reward_func_math": 0.6666666567325592,
|
| 1521 |
+
"step": 151
|
| 1522 |
+
},
|
| 1523 |
+
{
|
| 1524 |
+
"epoch": 0.16213333333333332,
|
| 1525 |
+
"grad_norm": 0.11805413663387299,
|
| 1526 |
+
"kl": 0.014071326702833176,
|
| 1527 |
+
"learning_rate": 3e-06,
|
| 1528 |
+
"loss": 0.1326,
|
| 1529 |
+
"step": 152
|
| 1530 |
+
},
|
| 1531 |
+
{
|
| 1532 |
+
"completion_length": 244.6979217529297,
|
| 1533 |
+
"epoch": 0.1632,
|
| 1534 |
+
"grad_norm": 0.12482283264398575,
|
| 1535 |
+
"kl": 0.017437617294490337,
|
| 1536 |
+
"learning_rate": 3e-06,
|
| 1537 |
+
"loss": 0.0238,
|
| 1538 |
+
"reward": 1.2187500596046448,
|
| 1539 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.6354166865348816,
|
| 1540 |
+
"rewards/correctness_reward_func_math": 0.5833333432674408,
|
| 1541 |
+
"step": 153
|
| 1542 |
+
},
|
| 1543 |
+
{
|
| 1544 |
+
"epoch": 0.16426666666666667,
|
| 1545 |
+
"grad_norm": 0.16741231083869934,
|
| 1546 |
+
"kl": 0.01778746023774147,
|
| 1547 |
+
"learning_rate": 3e-06,
|
| 1548 |
+
"loss": 0.024,
|
| 1549 |
+
"step": 154
|
| 1550 |
+
},
|
| 1551 |
+
{
|
| 1552 |
+
"completion_length": 237.86458587646484,
|
| 1553 |
+
"epoch": 0.16533333333333333,
|
| 1554 |
+
"grad_norm": 0.09586331993341446,
|
| 1555 |
+
"kl": 0.019033060409128666,
|
| 1556 |
+
"learning_rate": 3e-06,
|
| 1557 |
+
"loss": -0.0003,
|
| 1558 |
+
"reward": 1.3541666865348816,
|
| 1559 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.625,
|
| 1560 |
+
"rewards/correctness_reward_func_math": 0.7291666567325592,
|
| 1561 |
+
"step": 155
|
| 1562 |
+
},
|
| 1563 |
+
{
|
| 1564 |
+
"epoch": 0.1664,
|
| 1565 |
+
"grad_norm": 0.09274693578481674,
|
| 1566 |
+
"kl": 0.019481662660837173,
|
| 1567 |
+
"learning_rate": 3e-06,
|
| 1568 |
+
"loss": -0.0007,
|
| 1569 |
+
"step": 156
|
| 1570 |
+
},
|
| 1571 |
+
{
|
| 1572 |
+
"completion_length": 234.06250762939453,
|
| 1573 |
+
"epoch": 0.16746666666666668,
|
| 1574 |
+
"grad_norm": 0.1973016858100891,
|
| 1575 |
+
"kl": 0.02091437578201294,
|
| 1576 |
+
"learning_rate": 3e-06,
|
| 1577 |
+
"loss": 0.0658,
|
| 1578 |
+
"reward": 1.2864583730697632,
|
| 1579 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.6614583432674408,
|
| 1580 |
+
"rewards/correctness_reward_func_math": 0.625,
|
| 1581 |
+
"step": 157
|
| 1582 |
+
},
|
| 1583 |
+
{
|
| 1584 |
+
"epoch": 0.16853333333333334,
|
| 1585 |
+
"grad_norm": 0.1657065898180008,
|
| 1586 |
+
"kl": 0.02124563418328762,
|
| 1587 |
+
"learning_rate": 3e-06,
|
| 1588 |
+
"loss": 0.0658,
|
| 1589 |
+
"step": 158
|
| 1590 |
+
},
|
| 1591 |
+
{
|
| 1592 |
+
"completion_length": 239.14583587646484,
|
| 1593 |
+
"epoch": 0.1696,
|
| 1594 |
+
"grad_norm": 0.12511895596981049,
|
| 1595 |
+
"kl": 0.018006207887083292,
|
| 1596 |
+
"learning_rate": 3e-06,
|
| 1597 |
+
"loss": 0.0626,
|
| 1598 |
+
"reward": 1.2916667461395264,
|
| 1599 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.6458333432674408,
|
| 1600 |
+
"rewards/correctness_reward_func_math": 0.6458333432674408,
|
| 1601 |
+
"step": 159
|
| 1602 |
+
},
|
| 1603 |
+
{
|
| 1604 |
+
"epoch": 0.17066666666666666,
|
| 1605 |
+
"grad_norm": 0.17034728825092316,
|
| 1606 |
+
"kl": 0.01847991719841957,
|
| 1607 |
+
"learning_rate": 3e-06,
|
| 1608 |
+
"loss": 0.063,
|
| 1609 |
+
"step": 160
|
| 1610 |
+
},
|
| 1611 |
+
{
|
| 1612 |
+
"completion_length": 228.05208587646484,
|
| 1613 |
+
"epoch": 0.17173333333333332,
|
| 1614 |
+
"grad_norm": 0.1118399053812027,
|
| 1615 |
+
"kl": 0.0186180230230093,
|
| 1616 |
+
"learning_rate": 3e-06,
|
| 1617 |
+
"loss": 0.112,
|
| 1618 |
+
"reward": 1.1718750596046448,
|
| 1619 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.6927083432674408,
|
| 1620 |
+
"rewards/correctness_reward_func_math": 0.4791666567325592,
|
| 1621 |
+
"step": 161
|
| 1622 |
+
},
|
| 1623 |
+
{
|
| 1624 |
+
"epoch": 0.1728,
|
| 1625 |
+
"grad_norm": 0.11686160415410995,
|
| 1626 |
+
"kl": 0.01933614257723093,
|
| 1627 |
+
"learning_rate": 3e-06,
|
| 1628 |
+
"loss": 0.1113,
|
| 1629 |
+
"step": 162
|
| 1630 |
+
},
|
| 1631 |
+
{
|
| 1632 |
+
"completion_length": 245.4166717529297,
|
| 1633 |
+
"epoch": 0.17386666666666667,
|
| 1634 |
+
"grad_norm": 0.13094253838062286,
|
| 1635 |
+
"kl": 0.02521906979382038,
|
| 1636 |
+
"learning_rate": 3e-06,
|
| 1637 |
+
"loss": 0.0199,
|
| 1638 |
+
"reward": 1.2760416865348816,
|
| 1639 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.6927083134651184,
|
| 1640 |
+
"rewards/correctness_reward_func_math": 0.5833333283662796,
|
| 1641 |
+
"step": 163
|
| 1642 |
+
},
|
| 1643 |
+
{
|
| 1644 |
+
"epoch": 0.17493333333333333,
|
| 1645 |
+
"grad_norm": 0.14768710732460022,
|
| 1646 |
+
"kl": 0.025642136111855507,
|
| 1647 |
+
"learning_rate": 3e-06,
|
| 1648 |
+
"loss": 0.0201,
|
| 1649 |
+
"step": 164
|
| 1650 |
+
},
|
| 1651 |
+
{
|
| 1652 |
+
"completion_length": 235.80209350585938,
|
| 1653 |
+
"epoch": 0.176,
|
| 1654 |
+
"grad_norm": 0.12041536718606949,
|
| 1655 |
+
"kl": 0.022253177128732204,
|
| 1656 |
+
"learning_rate": 3e-06,
|
| 1657 |
+
"loss": 0.0575,
|
| 1658 |
+
"reward": 1.1614583730697632,
|
| 1659 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.5989583134651184,
|
| 1660 |
+
"rewards/correctness_reward_func_math": 0.5625,
|
| 1661 |
+
"step": 165
|
| 1662 |
+
},
|
| 1663 |
+
{
|
| 1664 |
+
"epoch": 0.17706666666666668,
|
| 1665 |
+
"grad_norm": 0.1091667115688324,
|
| 1666 |
+
"kl": 0.02235335111618042,
|
| 1667 |
+
"learning_rate": 3e-06,
|
| 1668 |
+
"loss": 0.0579,
|
| 1669 |
+
"step": 166
|
| 1670 |
+
},
|
| 1671 |
+
{
|
| 1672 |
+
"completion_length": 242.7916717529297,
|
| 1673 |
+
"epoch": 0.17813333333333334,
|
| 1674 |
+
"grad_norm": 0.12823987007141113,
|
| 1675 |
+
"kl": 0.030961502343416214,
|
| 1676 |
+
"learning_rate": 3e-06,
|
| 1677 |
+
"loss": 0.1094,
|
| 1678 |
+
"reward": 1.296875,
|
| 1679 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.6510416567325592,
|
| 1680 |
+
"rewards/correctness_reward_func_math": 0.6458333283662796,
|
| 1681 |
+
"step": 167
|
| 1682 |
+
},
|
| 1683 |
+
{
|
| 1684 |
+
"epoch": 0.1792,
|
| 1685 |
+
"grad_norm": 0.1254572570323944,
|
| 1686 |
+
"kl": 0.03183833882212639,
|
| 1687 |
+
"learning_rate": 3e-06,
|
| 1688 |
+
"loss": 0.1095,
|
| 1689 |
+
"step": 168
|
| 1690 |
+
},
|
| 1691 |
+
{
|
| 1692 |
+
"completion_length": 246.5416717529297,
|
| 1693 |
+
"epoch": 0.18026666666666666,
|
| 1694 |
+
"grad_norm": 0.11450909078121185,
|
| 1695 |
+
"kl": 0.030905899591743946,
|
| 1696 |
+
"learning_rate": 3e-06,
|
| 1697 |
+
"loss": -0.0066,
|
| 1698 |
+
"reward": 0.8958333432674408,
|
| 1699 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.625,
|
| 1700 |
+
"rewards/correctness_reward_func_math": 0.2708333283662796,
|
| 1701 |
+
"step": 169
|
| 1702 |
+
},
|
| 1703 |
+
{
|
| 1704 |
+
"epoch": 0.18133333333333335,
|
| 1705 |
+
"grad_norm": 0.09335505217313766,
|
| 1706 |
+
"kl": 0.031846022233366966,
|
| 1707 |
+
"learning_rate": 3e-06,
|
| 1708 |
+
"loss": -0.0061,
|
| 1709 |
+
"step": 170
|
| 1710 |
+
},
|
| 1711 |
+
{
|
| 1712 |
+
"completion_length": 229.46875762939453,
|
| 1713 |
+
"epoch": 0.1824,
|
| 1714 |
+
"grad_norm": 0.07376878708600998,
|
| 1715 |
+
"kl": 0.024884301237761974,
|
| 1716 |
+
"learning_rate": 3e-06,
|
| 1717 |
+
"loss": 0.0223,
|
| 1718 |
+
"reward": 1.1614583432674408,
|
| 1719 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.5572916567325592,
|
| 1720 |
+
"rewards/correctness_reward_func_math": 0.6041666716337204,
|
| 1721 |
+
"step": 171
|
| 1722 |
+
},
|
| 1723 |
+
{
|
| 1724 |
+
"epoch": 0.18346666666666667,
|
| 1725 |
+
"grad_norm": 0.07343802601099014,
|
| 1726 |
+
"kl": 0.026218552142381668,
|
| 1727 |
+
"learning_rate": 3e-06,
|
| 1728 |
+
"loss": 0.022,
|
| 1729 |
+
"step": 172
|
| 1730 |
+
},
|
| 1731 |
+
{
|
| 1732 |
+
"completion_length": 246.3854217529297,
|
| 1733 |
+
"epoch": 0.18453333333333333,
|
| 1734 |
+
"grad_norm": 0.1438089907169342,
|
| 1735 |
+
"kl": 0.04622086510062218,
|
| 1736 |
+
"learning_rate": 3e-06,
|
| 1737 |
+
"loss": 0.0581,
|
| 1738 |
+
"reward": 1.2864583730697632,
|
| 1739 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.6614583134651184,
|
| 1740 |
+
"rewards/correctness_reward_func_math": 0.625,
|
| 1741 |
+
"step": 173
|
| 1742 |
+
},
|
| 1743 |
+
{
|
| 1744 |
+
"epoch": 0.1856,
|
| 1745 |
+
"grad_norm": 0.2885880768299103,
|
| 1746 |
+
"kl": 0.048377882689237595,
|
| 1747 |
+
"learning_rate": 3e-06,
|
| 1748 |
+
"loss": 0.0578,
|
| 1749 |
+
"step": 174
|
| 1750 |
+
},
|
| 1751 |
+
{
|
| 1752 |
+
"completion_length": 248.05208587646484,
|
| 1753 |
+
"epoch": 0.18666666666666668,
|
| 1754 |
+
"grad_norm": 0.10133392363786697,
|
| 1755 |
+
"kl": 0.04044355824589729,
|
| 1756 |
+
"learning_rate": 3e-06,
|
| 1757 |
+
"loss": -0.0204,
|
| 1758 |
+
"reward": 1.2552083730697632,
|
| 1759 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.609375,
|
| 1760 |
+
"rewards/correctness_reward_func_math": 0.6458333432674408,
|
| 1761 |
+
"step": 175
|
| 1762 |
+
},
|
| 1763 |
+
{
|
| 1764 |
+
"epoch": 0.18773333333333334,
|
| 1765 |
+
"grad_norm": 0.09640152007341385,
|
| 1766 |
+
"kl": 0.041533155366778374,
|
| 1767 |
+
"learning_rate": 3e-06,
|
| 1768 |
+
"loss": -0.0207,
|
| 1769 |
+
"step": 176
|
| 1770 |
+
},
|
| 1771 |
+
{
|
| 1772 |
+
"completion_length": 249.21875762939453,
|
| 1773 |
+
"epoch": 0.1888,
|
| 1774 |
+
"grad_norm": 0.10415184497833252,
|
| 1775 |
+
"kl": 0.040618300437927246,
|
| 1776 |
+
"learning_rate": 3e-06,
|
| 1777 |
+
"loss": 0.1303,
|
| 1778 |
+
"reward": 1.0364583432674408,
|
| 1779 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.703125,
|
| 1780 |
+
"rewards/correctness_reward_func_math": 0.3333333283662796,
|
| 1781 |
+
"step": 177
|
| 1782 |
+
},
|
| 1783 |
+
{
|
| 1784 |
+
"epoch": 0.18986666666666666,
|
| 1785 |
+
"grad_norm": 0.09741508960723877,
|
| 1786 |
+
"kl": 0.042102932929992676,
|
| 1787 |
+
"learning_rate": 3e-06,
|
| 1788 |
+
"loss": 0.1304,
|
| 1789 |
+
"step": 178
|
| 1790 |
+
},
|
| 1791 |
+
{
|
| 1792 |
+
"completion_length": 227.33333587646484,
|
| 1793 |
+
"epoch": 0.19093333333333334,
|
| 1794 |
+
"grad_norm": 0.12159749865531921,
|
| 1795 |
+
"kl": 0.029760053381323814,
|
| 1796 |
+
"learning_rate": 3e-06,
|
| 1797 |
+
"loss": -0.0087,
|
| 1798 |
+
"reward": 1.2708333432674408,
|
| 1799 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.5833333432674408,
|
| 1800 |
+
"rewards/correctness_reward_func_math": 0.6875000149011612,
|
| 1801 |
+
"step": 179
|
| 1802 |
+
},
|
| 1803 |
+
{
|
| 1804 |
+
"epoch": 0.192,
|
| 1805 |
+
"grad_norm": 0.12757156789302826,
|
| 1806 |
+
"kl": 0.03069307003170252,
|
| 1807 |
+
"learning_rate": 3e-06,
|
| 1808 |
+
"loss": -0.0091,
|
| 1809 |
+
"step": 180
|
| 1810 |
+
},
|
| 1811 |
+
{
|
| 1812 |
+
"completion_length": 244.65625,
|
| 1813 |
+
"epoch": 0.19306666666666666,
|
| 1814 |
+
"grad_norm": 0.14061614871025085,
|
| 1815 |
+
"kl": 0.05795930698513985,
|
| 1816 |
+
"learning_rate": 3e-06,
|
| 1817 |
+
"loss": -0.0672,
|
| 1818 |
+
"reward": 1.3958333730697632,
|
| 1819 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.625,
|
| 1820 |
+
"rewards/correctness_reward_func_math": 0.7708333134651184,
|
| 1821 |
+
"step": 181
|
| 1822 |
+
},
|
| 1823 |
+
{
|
| 1824 |
+
"epoch": 0.19413333333333332,
|
| 1825 |
+
"grad_norm": 0.1459376960992813,
|
| 1826 |
+
"kl": 0.05885138362646103,
|
| 1827 |
+
"learning_rate": 3e-06,
|
| 1828 |
+
"loss": -0.0674,
|
| 1829 |
+
"step": 182
|
| 1830 |
+
},
|
| 1831 |
+
{
|
| 1832 |
+
"completion_length": 249.86458587646484,
|
| 1833 |
+
"epoch": 0.1952,
|
| 1834 |
+
"grad_norm": 0.09802168607711792,
|
| 1835 |
+
"kl": 0.0534309446811676,
|
| 1836 |
+
"learning_rate": 3e-06,
|
| 1837 |
+
"loss": 0.0978,
|
| 1838 |
+
"reward": 1.4739583730697632,
|
| 1839 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.640625,
|
| 1840 |
+
"rewards/correctness_reward_func_math": 0.8333333432674408,
|
| 1841 |
+
"step": 183
|
| 1842 |
+
},
|
| 1843 |
+
{
|
| 1844 |
+
"epoch": 0.19626666666666667,
|
| 1845 |
+
"grad_norm": 0.10266973078250885,
|
| 1846 |
+
"kl": 0.054405322298407555,
|
| 1847 |
+
"learning_rate": 3e-06,
|
| 1848 |
+
"loss": 0.0974,
|
| 1849 |
+
"step": 184
|
| 1850 |
+
},
|
| 1851 |
+
{
|
| 1852 |
+
"completion_length": 239.48959350585938,
|
| 1853 |
+
"epoch": 0.19733333333333333,
|
| 1854 |
+
"grad_norm": 0.10332746058702469,
|
| 1855 |
+
"kl": 0.051794858649373055,
|
| 1856 |
+
"learning_rate": 3e-06,
|
| 1857 |
+
"loss": 0.1001,
|
| 1858 |
+
"reward": 1.4583333730697632,
|
| 1859 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.6666666865348816,
|
| 1860 |
+
"rewards/correctness_reward_func_math": 0.7916666865348816,
|
| 1861 |
+
"step": 185
|
| 1862 |
+
},
|
| 1863 |
+
{
|
| 1864 |
+
"epoch": 0.1984,
|
| 1865 |
+
"grad_norm": 0.10028999298810959,
|
| 1866 |
+
"kl": 0.05242122523486614,
|
| 1867 |
+
"learning_rate": 3e-06,
|
| 1868 |
+
"loss": 0.0998,
|
| 1869 |
+
"step": 186
|
| 1870 |
+
},
|
| 1871 |
+
{
|
| 1872 |
+
"completion_length": 243.37500762939453,
|
| 1873 |
+
"epoch": 0.19946666666666665,
|
| 1874 |
+
"grad_norm": 0.09041033685207367,
|
| 1875 |
+
"kl": 0.06607511267066002,
|
| 1876 |
+
"learning_rate": 3e-06,
|
| 1877 |
+
"loss": 0.137,
|
| 1878 |
+
"reward": 1.0781250298023224,
|
| 1879 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.703125,
|
| 1880 |
+
"rewards/correctness_reward_func_math": 0.375,
|
| 1881 |
+
"step": 187
|
| 1882 |
+
},
|
| 1883 |
+
{
|
| 1884 |
+
"epoch": 0.20053333333333334,
|
| 1885 |
+
"grad_norm": 0.08903069794178009,
|
| 1886 |
+
"kl": 0.0671824999153614,
|
| 1887 |
+
"learning_rate": 3e-06,
|
| 1888 |
+
"loss": 0.137,
|
| 1889 |
+
"step": 188
|
| 1890 |
+
},
|
| 1891 |
+
{
|
| 1892 |
+
"completion_length": 252.37500762939453,
|
| 1893 |
+
"epoch": 0.2016,
|
| 1894 |
+
"grad_norm": 0.11631181091070175,
|
| 1895 |
+
"kl": 0.06189817003905773,
|
| 1896 |
+
"learning_rate": 3e-06,
|
| 1897 |
+
"loss": 0.0803,
|
| 1898 |
+
"reward": 1.296875,
|
| 1899 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.6510416567325592,
|
| 1900 |
+
"rewards/correctness_reward_func_math": 0.6458333432674408,
|
| 1901 |
+
"step": 189
|
| 1902 |
+
},
|
| 1903 |
+
{
|
| 1904 |
+
"epoch": 0.20266666666666666,
|
| 1905 |
+
"grad_norm": 0.1270066797733307,
|
| 1906 |
+
"kl": 0.06297731585800648,
|
| 1907 |
+
"learning_rate": 3e-06,
|
| 1908 |
+
"loss": 0.0799,
|
| 1909 |
+
"step": 190
|
| 1910 |
+
},
|
| 1911 |
+
{
|
| 1912 |
+
"completion_length": 243.14583587646484,
|
| 1913 |
+
"epoch": 0.20373333333333332,
|
| 1914 |
+
"grad_norm": 0.11611822247505188,
|
| 1915 |
+
"kl": 0.05705785006284714,
|
| 1916 |
+
"learning_rate": 3e-06,
|
| 1917 |
+
"loss": 0.0642,
|
| 1918 |
+
"reward": 1.1562500596046448,
|
| 1919 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.6145833432674408,
|
| 1920 |
+
"rewards/correctness_reward_func_math": 0.5416666716337204,
|
| 1921 |
+
"step": 191
|
| 1922 |
+
},
|
| 1923 |
+
{
|
| 1924 |
+
"epoch": 0.2048,
|
| 1925 |
+
"grad_norm": 0.14279727637767792,
|
| 1926 |
+
"kl": 0.058118581771850586,
|
| 1927 |
+
"learning_rate": 3e-06,
|
| 1928 |
+
"loss": 0.0639,
|
| 1929 |
+
"step": 192
|
| 1930 |
+
},
|
| 1931 |
+
{
|
| 1932 |
+
"completion_length": 242.70833587646484,
|
| 1933 |
+
"epoch": 0.20586666666666667,
|
| 1934 |
+
"grad_norm": 0.13600584864616394,
|
| 1935 |
+
"kl": 0.05646519921720028,
|
| 1936 |
+
"learning_rate": 3e-06,
|
| 1937 |
+
"loss": -0.0209,
|
| 1938 |
+
"reward": 1.3177083730697632,
|
| 1939 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.671875,
|
| 1940 |
+
"rewards/correctness_reward_func_math": 0.6458333283662796,
|
| 1941 |
+
"step": 193
|
| 1942 |
+
},
|
| 1943 |
+
{
|
| 1944 |
+
"epoch": 0.20693333333333333,
|
| 1945 |
+
"grad_norm": 0.13068649172782898,
|
| 1946 |
+
"kl": 0.056824104860424995,
|
| 1947 |
+
"learning_rate": 3e-06,
|
| 1948 |
+
"loss": -0.022,
|
| 1949 |
+
"step": 194
|
| 1950 |
+
},
|
| 1951 |
+
{
|
| 1952 |
+
"completion_length": 226.39583587646484,
|
| 1953 |
+
"epoch": 0.208,
|
| 1954 |
+
"grad_norm": 0.11672388762235641,
|
| 1955 |
+
"kl": 0.05406441166996956,
|
| 1956 |
+
"learning_rate": 3e-06,
|
| 1957 |
+
"loss": 0.073,
|
| 1958 |
+
"reward": 1.3489583730697632,
|
| 1959 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.6197916865348816,
|
| 1960 |
+
"rewards/correctness_reward_func_math": 0.7291666865348816,
|
| 1961 |
+
"step": 195
|
| 1962 |
+
},
|
| 1963 |
+
{
|
| 1964 |
+
"epoch": 0.20906666666666668,
|
| 1965 |
+
"grad_norm": 0.12466276437044144,
|
| 1966 |
+
"kl": 0.054257895797491074,
|
| 1967 |
+
"learning_rate": 3e-06,
|
| 1968 |
+
"loss": 0.0732,
|
| 1969 |
+
"step": 196
|
| 1970 |
+
},
|
| 1971 |
+
{
|
| 1972 |
+
"completion_length": 239.45834350585938,
|
| 1973 |
+
"epoch": 0.21013333333333334,
|
| 1974 |
+
"grad_norm": 0.14174474775791168,
|
| 1975 |
+
"kl": 0.057876838371157646,
|
| 1976 |
+
"learning_rate": 3e-06,
|
| 1977 |
+
"loss": 0.0156,
|
| 1978 |
+
"reward": 1.4218750596046448,
|
| 1979 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.6927083432674408,
|
| 1980 |
+
"rewards/correctness_reward_func_math": 0.7291666865348816,
|
| 1981 |
+
"step": 197
|
| 1982 |
+
},
|
| 1983 |
+
{
|
| 1984 |
+
"epoch": 0.2112,
|
| 1985 |
+
"grad_norm": 0.15798237919807434,
|
| 1986 |
+
"kl": 0.059085674583911896,
|
| 1987 |
+
"learning_rate": 3e-06,
|
| 1988 |
+
"loss": 0.0151,
|
| 1989 |
+
"step": 198
|
| 1990 |
+
},
|
| 1991 |
+
{
|
| 1992 |
+
"completion_length": 237.45834350585938,
|
| 1993 |
+
"epoch": 0.21226666666666666,
|
| 1994 |
+
"grad_norm": 0.10461069643497467,
|
| 1995 |
+
"kl": 0.05880102701485157,
|
| 1996 |
+
"learning_rate": 3e-06,
|
| 1997 |
+
"loss": 0.0335,
|
| 1998 |
+
"reward": 1.322916716337204,
|
| 1999 |
+
"rewards/boxed_and_answer_tags_format_reward": 0.6979166567325592,
|
| 2000 |
+
"rewards/correctness_reward_func_math": 0.6249999776482582,
|
| 2001 |
+
"step": 199
|
| 2002 |
+
},
|
| 2003 |
+
{
|
| 2004 |
+
"epoch": 0.21333333333333335,
|
| 2005 |
+
"grad_norm": 0.10501859337091446,
|
| 2006 |
+
"kl": 0.05938952974975109,
|
| 2007 |
+
"learning_rate": 3e-06,
|
| 2008 |
+
"loss": 0.0337,
|
| 2009 |
+
"step": 200
|
| 2010 |
+
}
|
| 2011 |
+
],
|
| 2012 |
+
"logging_steps": 1,
|
| 2013 |
+
"max_steps": 9370,
|
| 2014 |
+
"num_input_tokens_seen": 0,
|
| 2015 |
+
"num_train_epochs": 10,
|
| 2016 |
+
"save_steps": 100,
|
| 2017 |
+
"stateful_callbacks": {
|
| 2018 |
+
"TrainerControl": {
|
| 2019 |
+
"args": {
|
| 2020 |
+
"should_epoch_stop": false,
|
| 2021 |
+
"should_evaluate": false,
|
| 2022 |
+
"should_log": false,
|
| 2023 |
+
"should_save": true,
|
| 2024 |
+
"should_training_stop": false
|
| 2025 |
+
},
|
| 2026 |
+
"attributes": {}
|
| 2027 |
+
}
|
| 2028 |
+
},
|
| 2029 |
+
"total_flos": 0.0,
|
| 2030 |
+
"train_batch_size": 6,
|
| 2031 |
+
"trial_name": null,
|
| 2032 |
+
"trial_params": null
|
| 2033 |
+
}
|
checkpoint-200/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:596e3dfc57483ca62815b3a75154fd6577935d09e47ba1327dd06cce26795a1b
|
| 3 |
+
size 9873
|
checkpoint-200/zero_to_fp32.py
ADDED
|
@@ -0,0 +1,760 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/usr/bin/env python
|
| 2 |
+
|
| 3 |
+
# Copyright (c) Microsoft Corporation.
|
| 4 |
+
# SPDX-License-Identifier: Apache-2.0
|
| 5 |
+
|
| 6 |
+
# DeepSpeed Team
|
| 7 |
+
|
| 8 |
+
# This script extracts fp32 consolidated weights from a zero 1, 2 and 3 DeepSpeed checkpoints. It gets
|
| 9 |
+
# copied into the top level checkpoint dir, so the user can easily do the conversion at any point in
|
| 10 |
+
# the future. Once extracted, the weights don't require DeepSpeed and can be used in any
|
| 11 |
+
# application.
|
| 12 |
+
#
|
| 13 |
+
# example:
|
| 14 |
+
# python zero_to_fp32.py . output_dir/
|
| 15 |
+
# or
|
| 16 |
+
# python zero_to_fp32.py . output_dir/ --safe_serialization
|
| 17 |
+
|
| 18 |
+
import argparse
|
| 19 |
+
import torch
|
| 20 |
+
import glob
|
| 21 |
+
import math
|
| 22 |
+
import os
|
| 23 |
+
import re
|
| 24 |
+
import gc
|
| 25 |
+
import json
|
| 26 |
+
import numpy as np
|
| 27 |
+
from tqdm import tqdm
|
| 28 |
+
from collections import OrderedDict
|
| 29 |
+
from dataclasses import dataclass
|
| 30 |
+
|
| 31 |
+
# while this script doesn't use deepspeed to recover data, since the checkpoints are pickled with
|
| 32 |
+
# DeepSpeed data structures it has to be available in the current python environment.
|
| 33 |
+
from deepspeed.utils import logger
|
| 34 |
+
from deepspeed.checkpoint.constants import (DS_VERSION, OPTIMIZER_STATE_DICT, SINGLE_PARTITION_OF_FP32_GROUPS,
|
| 35 |
+
FP32_FLAT_GROUPS, ZERO_STAGE, PARTITION_COUNT, PARAM_SHAPES, BUFFER_NAMES,
|
| 36 |
+
FROZEN_PARAM_SHAPES, FROZEN_PARAM_FRAGMENTS)
|
| 37 |
+
|
| 38 |
+
|
| 39 |
+
@dataclass
|
| 40 |
+
class zero_model_state:
|
| 41 |
+
buffers: dict()
|
| 42 |
+
param_shapes: dict()
|
| 43 |
+
shared_params: list
|
| 44 |
+
ds_version: int
|
| 45 |
+
frozen_param_shapes: dict()
|
| 46 |
+
frozen_param_fragments: dict()
|
| 47 |
+
|
| 48 |
+
|
| 49 |
+
debug = 0
|
| 50 |
+
|
| 51 |
+
# load to cpu
|
| 52 |
+
device = torch.device('cpu')
|
| 53 |
+
|
| 54 |
+
|
| 55 |
+
def atoi(text):
|
| 56 |
+
return int(text) if text.isdigit() else text
|
| 57 |
+
|
| 58 |
+
|
| 59 |
+
def natural_keys(text):
|
| 60 |
+
'''
|
| 61 |
+
alist.sort(key=natural_keys) sorts in human order
|
| 62 |
+
http://nedbatchelder.com/blog/200712/human_sorting.html
|
| 63 |
+
(See Toothy's implementation in the comments)
|
| 64 |
+
'''
|
| 65 |
+
return [atoi(c) for c in re.split(r'(\d+)', text)]
|
| 66 |
+
|
| 67 |
+
|
| 68 |
+
def get_model_state_file(checkpoint_dir, zero_stage):
|
| 69 |
+
if not os.path.isdir(checkpoint_dir):
|
| 70 |
+
raise FileNotFoundError(f"Directory '{checkpoint_dir}' doesn't exist")
|
| 71 |
+
|
| 72 |
+
# there should be only one file
|
| 73 |
+
if zero_stage <= 2:
|
| 74 |
+
file = os.path.join(checkpoint_dir, "mp_rank_00_model_states.pt")
|
| 75 |
+
elif zero_stage == 3:
|
| 76 |
+
file = os.path.join(checkpoint_dir, "zero_pp_rank_0_mp_rank_00_model_states.pt")
|
| 77 |
+
|
| 78 |
+
if not os.path.exists(file):
|
| 79 |
+
raise FileNotFoundError(f"can't find model states file at '{file}'")
|
| 80 |
+
|
| 81 |
+
return file
|
| 82 |
+
|
| 83 |
+
|
| 84 |
+
def get_checkpoint_files(checkpoint_dir, glob_pattern):
|
| 85 |
+
# XXX: need to test that this simple glob rule works for multi-node setup too
|
| 86 |
+
ckpt_files = sorted(glob.glob(os.path.join(checkpoint_dir, glob_pattern)), key=natural_keys)
|
| 87 |
+
|
| 88 |
+
if len(ckpt_files) == 0:
|
| 89 |
+
raise FileNotFoundError(f"can't find {glob_pattern} files in directory '{checkpoint_dir}'")
|
| 90 |
+
|
| 91 |
+
return ckpt_files
|
| 92 |
+
|
| 93 |
+
|
| 94 |
+
def get_optim_files(checkpoint_dir):
|
| 95 |
+
return get_checkpoint_files(checkpoint_dir, "*_optim_states.pt")
|
| 96 |
+
|
| 97 |
+
|
| 98 |
+
def get_model_state_files(checkpoint_dir):
|
| 99 |
+
return get_checkpoint_files(checkpoint_dir, "*_model_states.pt")
|
| 100 |
+
|
| 101 |
+
|
| 102 |
+
def parse_model_states(files):
|
| 103 |
+
zero_model_states = []
|
| 104 |
+
for file in files:
|
| 105 |
+
state_dict = torch.load(file, map_location=device, weights_only=False)
|
| 106 |
+
|
| 107 |
+
if BUFFER_NAMES not in state_dict:
|
| 108 |
+
raise ValueError(f"{file} is not a model state checkpoint")
|
| 109 |
+
buffer_names = state_dict[BUFFER_NAMES]
|
| 110 |
+
if debug:
|
| 111 |
+
print("Found buffers:", buffer_names)
|
| 112 |
+
|
| 113 |
+
# recover just the buffers while restoring them to fp32 if they were saved in fp16
|
| 114 |
+
buffers = {k: v.float() for k, v in state_dict["module"].items() if k in buffer_names}
|
| 115 |
+
param_shapes = state_dict[PARAM_SHAPES]
|
| 116 |
+
|
| 117 |
+
# collect parameters that are included in param_shapes
|
| 118 |
+
param_names = []
|
| 119 |
+
for s in param_shapes:
|
| 120 |
+
for name in s.keys():
|
| 121 |
+
param_names.append(name)
|
| 122 |
+
|
| 123 |
+
# update with frozen parameters
|
| 124 |
+
frozen_param_shapes = state_dict.get(FROZEN_PARAM_SHAPES, None)
|
| 125 |
+
if frozen_param_shapes is not None:
|
| 126 |
+
if debug:
|
| 127 |
+
print(f"Found frozen_param_shapes: {frozen_param_shapes}")
|
| 128 |
+
param_names += list(frozen_param_shapes.keys())
|
| 129 |
+
|
| 130 |
+
# handle shared params
|
| 131 |
+
shared_params = [[k, v] for k, v in state_dict["shared_params"].items()]
|
| 132 |
+
|
| 133 |
+
ds_version = state_dict.get(DS_VERSION, None)
|
| 134 |
+
|
| 135 |
+
frozen_param_fragments = state_dict.get(FROZEN_PARAM_FRAGMENTS, None)
|
| 136 |
+
|
| 137 |
+
z_model_state = zero_model_state(buffers=buffers,
|
| 138 |
+
param_shapes=param_shapes,
|
| 139 |
+
shared_params=shared_params,
|
| 140 |
+
ds_version=ds_version,
|
| 141 |
+
frozen_param_shapes=frozen_param_shapes,
|
| 142 |
+
frozen_param_fragments=frozen_param_fragments)
|
| 143 |
+
zero_model_states.append(z_model_state)
|
| 144 |
+
|
| 145 |
+
return zero_model_states
|
| 146 |
+
|
| 147 |
+
|
| 148 |
+
def parse_optim_states(files, ds_checkpoint_dir):
|
| 149 |
+
total_files = len(files)
|
| 150 |
+
state_dicts = []
|
| 151 |
+
for f in tqdm(files, desc='Loading checkpoint shards'):
|
| 152 |
+
state_dict = torch.load(f, map_location=device, mmap=True, weights_only=False)
|
| 153 |
+
# immediately discard the potentially huge 2 optimizer states as we only care for fp32 master weights
|
| 154 |
+
# and also handle the case where it was already removed by another helper script
|
| 155 |
+
state_dict["optimizer_state_dict"].pop("optimizer_state_dict", None)
|
| 156 |
+
state_dicts.append(state_dict)
|
| 157 |
+
|
| 158 |
+
if not ZERO_STAGE in state_dicts[0][OPTIMIZER_STATE_DICT]:
|
| 159 |
+
raise ValueError(f"{files[0]} is not a zero checkpoint")
|
| 160 |
+
zero_stage = state_dicts[0][OPTIMIZER_STATE_DICT][ZERO_STAGE]
|
| 161 |
+
world_size = state_dicts[0][OPTIMIZER_STATE_DICT][PARTITION_COUNT]
|
| 162 |
+
|
| 163 |
+
# For ZeRO-2 each param group can have different partition_count as data parallelism for expert
|
| 164 |
+
# parameters can be different from data parallelism for non-expert parameters. So we can just
|
| 165 |
+
# use the max of the partition_count to get the dp world_size.
|
| 166 |
+
|
| 167 |
+
if type(world_size) is list:
|
| 168 |
+
world_size = max(world_size)
|
| 169 |
+
|
| 170 |
+
if world_size != total_files:
|
| 171 |
+
raise ValueError(
|
| 172 |
+
f"Expected {world_size} of '*_optim_states.pt' under '{ds_checkpoint_dir}' but found {total_files} files. "
|
| 173 |
+
"Possibly due to an overwrite of an old checkpoint, or a checkpoint didn't get saved by one or more processes."
|
| 174 |
+
)
|
| 175 |
+
|
| 176 |
+
# the groups are named differently in each stage
|
| 177 |
+
if zero_stage <= 2:
|
| 178 |
+
fp32_groups_key = SINGLE_PARTITION_OF_FP32_GROUPS
|
| 179 |
+
elif zero_stage == 3:
|
| 180 |
+
fp32_groups_key = FP32_FLAT_GROUPS
|
| 181 |
+
else:
|
| 182 |
+
raise ValueError(f"unknown zero stage {zero_stage}")
|
| 183 |
+
|
| 184 |
+
fp32_flat_groups = [state_dicts[i][OPTIMIZER_STATE_DICT][fp32_groups_key] for i in range(len(state_dicts))]
|
| 185 |
+
return zero_stage, world_size, fp32_flat_groups
|
| 186 |
+
|
| 187 |
+
|
| 188 |
+
def _get_fp32_state_dict_from_zero_checkpoint(ds_checkpoint_dir, exclude_frozen_parameters):
|
| 189 |
+
"""
|
| 190 |
+
Returns fp32 state_dict reconstructed from ds checkpoint
|
| 191 |
+
|
| 192 |
+
Args:
|
| 193 |
+
- ``ds_checkpoint_dir``: path to the deepspeed checkpoint folder (where the optimizer files are)
|
| 194 |
+
|
| 195 |
+
"""
|
| 196 |
+
print(f"Processing zero checkpoint '{ds_checkpoint_dir}'")
|
| 197 |
+
|
| 198 |
+
optim_files = get_optim_files(ds_checkpoint_dir)
|
| 199 |
+
zero_stage, world_size, fp32_flat_groups = parse_optim_states(optim_files, ds_checkpoint_dir)
|
| 200 |
+
print(f"Detected checkpoint of type zero stage {zero_stage}, world_size: {world_size}")
|
| 201 |
+
|
| 202 |
+
model_files = get_model_state_files(ds_checkpoint_dir)
|
| 203 |
+
|
| 204 |
+
zero_model_states = parse_model_states(model_files)
|
| 205 |
+
print(f'Parsing checkpoint created by deepspeed=={zero_model_states[0].ds_version}')
|
| 206 |
+
|
| 207 |
+
if zero_stage <= 2:
|
| 208 |
+
return _get_fp32_state_dict_from_zero2_checkpoint(world_size, fp32_flat_groups, zero_model_states,
|
| 209 |
+
exclude_frozen_parameters)
|
| 210 |
+
elif zero_stage == 3:
|
| 211 |
+
return _get_fp32_state_dict_from_zero3_checkpoint(world_size, fp32_flat_groups, zero_model_states,
|
| 212 |
+
exclude_frozen_parameters)
|
| 213 |
+
|
| 214 |
+
|
| 215 |
+
def _zero2_merge_frozen_params(state_dict, zero_model_states):
|
| 216 |
+
if zero_model_states[0].frozen_param_shapes is None or len(zero_model_states[0].frozen_param_shapes) == 0:
|
| 217 |
+
return
|
| 218 |
+
|
| 219 |
+
frozen_param_shapes = zero_model_states[0].frozen_param_shapes
|
| 220 |
+
frozen_param_fragments = zero_model_states[0].frozen_param_fragments
|
| 221 |
+
|
| 222 |
+
if debug:
|
| 223 |
+
num_elem = sum(s.numel() for s in frozen_param_shapes.values())
|
| 224 |
+
print(f'rank 0: {FROZEN_PARAM_SHAPES}.numel = {num_elem}')
|
| 225 |
+
|
| 226 |
+
wanted_params = len(frozen_param_shapes)
|
| 227 |
+
wanted_numel = sum(s.numel() for s in frozen_param_shapes.values())
|
| 228 |
+
avail_numel = sum([p.numel() for p in frozen_param_fragments.values()])
|
| 229 |
+
print(f'Frozen params: Have {avail_numel} numels to process.')
|
| 230 |
+
print(f'Frozen params: Need {wanted_numel} numels in {wanted_params} params')
|
| 231 |
+
|
| 232 |
+
total_params = 0
|
| 233 |
+
total_numel = 0
|
| 234 |
+
for name, shape in frozen_param_shapes.items():
|
| 235 |
+
total_params += 1
|
| 236 |
+
unpartitioned_numel = shape.numel()
|
| 237 |
+
total_numel += unpartitioned_numel
|
| 238 |
+
|
| 239 |
+
state_dict[name] = frozen_param_fragments[name]
|
| 240 |
+
|
| 241 |
+
if debug:
|
| 242 |
+
print(f"{name} full shape: {shape} unpartitioned numel {unpartitioned_numel} ")
|
| 243 |
+
|
| 244 |
+
print(f"Reconstructed Frozen fp32 state dict with {total_params} params {total_numel} elements")
|
| 245 |
+
|
| 246 |
+
|
| 247 |
+
def _has_callable(obj, fn):
|
| 248 |
+
attr = getattr(obj, fn, None)
|
| 249 |
+
return callable(attr)
|
| 250 |
+
|
| 251 |
+
|
| 252 |
+
def _zero2_merge_trainable_params(state_dict, world_size, fp32_flat_groups, zero_model_states):
|
| 253 |
+
param_shapes = zero_model_states[0].param_shapes
|
| 254 |
+
|
| 255 |
+
# Reconstruction protocol:
|
| 256 |
+
#
|
| 257 |
+
# XXX: document this
|
| 258 |
+
|
| 259 |
+
if debug:
|
| 260 |
+
for i in range(world_size):
|
| 261 |
+
for j in range(len(fp32_flat_groups[0])):
|
| 262 |
+
print(f"{FP32_FLAT_GROUPS}[{i}][{j}].shape={fp32_flat_groups[i][j].shape}")
|
| 263 |
+
|
| 264 |
+
# XXX: memory usage doubles here (zero2)
|
| 265 |
+
num_param_groups = len(fp32_flat_groups[0])
|
| 266 |
+
merged_single_partition_of_fp32_groups = []
|
| 267 |
+
for i in range(num_param_groups):
|
| 268 |
+
merged_partitions = [sd[i] for sd in fp32_flat_groups]
|
| 269 |
+
full_single_fp32_vector = torch.cat(merged_partitions, 0)
|
| 270 |
+
merged_single_partition_of_fp32_groups.append(full_single_fp32_vector)
|
| 271 |
+
avail_numel = sum(
|
| 272 |
+
[full_single_fp32_vector.numel() for full_single_fp32_vector in merged_single_partition_of_fp32_groups])
|
| 273 |
+
|
| 274 |
+
if debug:
|
| 275 |
+
wanted_params = sum([len(shapes) for shapes in param_shapes])
|
| 276 |
+
wanted_numel = sum([sum(shape.numel() for shape in shapes.values()) for shapes in param_shapes])
|
| 277 |
+
# not asserting if there is a mismatch due to possible padding
|
| 278 |
+
print(f"Have {avail_numel} numels to process.")
|
| 279 |
+
print(f"Need {wanted_numel} numels in {wanted_params} params.")
|
| 280 |
+
|
| 281 |
+
# params
|
| 282 |
+
# XXX: for huge models that can't fit into the host's RAM we will have to recode this to support
|
| 283 |
+
# out-of-core computing solution
|
| 284 |
+
total_numel = 0
|
| 285 |
+
total_params = 0
|
| 286 |
+
for shapes, full_single_fp32_vector in zip(param_shapes, merged_single_partition_of_fp32_groups):
|
| 287 |
+
offset = 0
|
| 288 |
+
avail_numel = full_single_fp32_vector.numel()
|
| 289 |
+
for name, shape in shapes.items():
|
| 290 |
+
|
| 291 |
+
unpartitioned_numel = shape.numel() if _has_callable(shape, 'numel') else math.prod(shape)
|
| 292 |
+
total_numel += unpartitioned_numel
|
| 293 |
+
total_params += 1
|
| 294 |
+
|
| 295 |
+
if debug:
|
| 296 |
+
print(f"{name} full shape: {shape} unpartitioned numel {unpartitioned_numel} ")
|
| 297 |
+
state_dict[name] = full_single_fp32_vector.narrow(0, offset, unpartitioned_numel).view(shape)
|
| 298 |
+
offset += unpartitioned_numel
|
| 299 |
+
|
| 300 |
+
# Z2 started to align to 2*world_size to improve nccl performance. Therefore both offset and
|
| 301 |
+
# avail_numel can differ by anywhere between 0..2*world_size. Due to two unrelated complex
|
| 302 |
+
# paddings performed in the code it's almost impossible to predict the exact numbers w/o the
|
| 303 |
+
# live optimizer object, so we are checking that the numbers are within the right range
|
| 304 |
+
align_to = 2 * world_size
|
| 305 |
+
|
| 306 |
+
def zero2_align(x):
|
| 307 |
+
return align_to * math.ceil(x / align_to)
|
| 308 |
+
|
| 309 |
+
if debug:
|
| 310 |
+
print(f"original offset={offset}, avail_numel={avail_numel}")
|
| 311 |
+
|
| 312 |
+
offset = zero2_align(offset)
|
| 313 |
+
avail_numel = zero2_align(avail_numel)
|
| 314 |
+
|
| 315 |
+
if debug:
|
| 316 |
+
print(f"aligned offset={offset}, avail_numel={avail_numel}")
|
| 317 |
+
|
| 318 |
+
# Sanity check
|
| 319 |
+
if offset != avail_numel:
|
| 320 |
+
raise ValueError(f"consumed {offset} numels out of {avail_numel} - something is wrong")
|
| 321 |
+
|
| 322 |
+
print(f"Reconstructed fp32 state dict with {total_params} params {total_numel} elements")
|
| 323 |
+
|
| 324 |
+
|
| 325 |
+
def _get_fp32_state_dict_from_zero2_checkpoint(world_size, fp32_flat_groups, zero_model_states,
|
| 326 |
+
exclude_frozen_parameters):
|
| 327 |
+
state_dict = OrderedDict()
|
| 328 |
+
|
| 329 |
+
# buffers
|
| 330 |
+
buffers = zero_model_states[0].buffers
|
| 331 |
+
state_dict.update(buffers)
|
| 332 |
+
if debug:
|
| 333 |
+
print(f"added {len(buffers)} buffers")
|
| 334 |
+
|
| 335 |
+
if not exclude_frozen_parameters:
|
| 336 |
+
_zero2_merge_frozen_params(state_dict, zero_model_states)
|
| 337 |
+
|
| 338 |
+
_zero2_merge_trainable_params(state_dict, world_size, fp32_flat_groups, zero_model_states)
|
| 339 |
+
|
| 340 |
+
# recover shared parameters
|
| 341 |
+
for pair in zero_model_states[0].shared_params:
|
| 342 |
+
if pair[1] in state_dict:
|
| 343 |
+
state_dict[pair[0]] = state_dict[pair[1]]
|
| 344 |
+
|
| 345 |
+
return state_dict
|
| 346 |
+
|
| 347 |
+
|
| 348 |
+
def zero3_partitioned_param_info(unpartitioned_numel, world_size):
|
| 349 |
+
remainder = unpartitioned_numel % world_size
|
| 350 |
+
padding_numel = (world_size - remainder) if remainder else 0
|
| 351 |
+
partitioned_numel = math.ceil(unpartitioned_numel / world_size)
|
| 352 |
+
return partitioned_numel, padding_numel
|
| 353 |
+
|
| 354 |
+
|
| 355 |
+
def _zero3_merge_frozen_params(state_dict, world_size, zero_model_states):
|
| 356 |
+
if zero_model_states[0].frozen_param_shapes is None or len(zero_model_states[0].frozen_param_shapes) == 0:
|
| 357 |
+
return
|
| 358 |
+
|
| 359 |
+
if debug:
|
| 360 |
+
for i in range(world_size):
|
| 361 |
+
num_elem = sum(s.numel() for s in zero_model_states[i].frozen_param_fragments.values())
|
| 362 |
+
print(f'rank {i}: {FROZEN_PARAM_SHAPES}.numel = {num_elem}')
|
| 363 |
+
|
| 364 |
+
frozen_param_shapes = zero_model_states[0].frozen_param_shapes
|
| 365 |
+
wanted_params = len(frozen_param_shapes)
|
| 366 |
+
wanted_numel = sum(s.numel() for s in frozen_param_shapes.values())
|
| 367 |
+
avail_numel = sum([p.numel() for p in zero_model_states[0].frozen_param_fragments.values()]) * world_size
|
| 368 |
+
print(f'Frozen params: Have {avail_numel} numels to process.')
|
| 369 |
+
print(f'Frozen params: Need {wanted_numel} numels in {wanted_params} params')
|
| 370 |
+
|
| 371 |
+
total_params = 0
|
| 372 |
+
total_numel = 0
|
| 373 |
+
for name, shape in zero_model_states[0].frozen_param_shapes.items():
|
| 374 |
+
total_params += 1
|
| 375 |
+
unpartitioned_numel = shape.numel()
|
| 376 |
+
total_numel += unpartitioned_numel
|
| 377 |
+
|
| 378 |
+
param_frags = tuple(model_state.frozen_param_fragments[name] for model_state in zero_model_states)
|
| 379 |
+
state_dict[name] = torch.cat(param_frags, 0).narrow(0, 0, unpartitioned_numel).view(shape)
|
| 380 |
+
|
| 381 |
+
partitioned_numel, partitioned_padding_numel = zero3_partitioned_param_info(unpartitioned_numel, world_size)
|
| 382 |
+
|
| 383 |
+
if debug:
|
| 384 |
+
print(
|
| 385 |
+
f"Frozen params: {total_params} {name} full shape: {shape} partition0 numel={partitioned_numel} partitioned_padding_numel={partitioned_padding_numel}"
|
| 386 |
+
)
|
| 387 |
+
|
| 388 |
+
print(f"Reconstructed Frozen fp32 state dict with {total_params} params {total_numel} elements")
|
| 389 |
+
|
| 390 |
+
|
| 391 |
+
class GatheredTensor:
|
| 392 |
+
"""
|
| 393 |
+
A pseudo tensor that collects partitioned weights.
|
| 394 |
+
It is more memory efficient when there are multiple groups.
|
| 395 |
+
"""
|
| 396 |
+
|
| 397 |
+
def __init__(self, flat_groups, flat_groups_offset, offset, partitioned_numel, shape):
|
| 398 |
+
self.flat_groups = flat_groups
|
| 399 |
+
self.flat_groups_offset = flat_groups_offset
|
| 400 |
+
self.offset = offset
|
| 401 |
+
self.partitioned_numel = partitioned_numel
|
| 402 |
+
self.shape = shape
|
| 403 |
+
self.dtype = self.flat_groups[0][0].dtype
|
| 404 |
+
|
| 405 |
+
def contiguous(self):
|
| 406 |
+
"""
|
| 407 |
+
Merge partitioned weights from flat_groups into a single tensor.
|
| 408 |
+
"""
|
| 409 |
+
end_idx = self.offset + self.partitioned_numel
|
| 410 |
+
world_size = len(self.flat_groups)
|
| 411 |
+
pad_flat_param_chunks = []
|
| 412 |
+
|
| 413 |
+
for rank_i in range(world_size):
|
| 414 |
+
# for each rank, we need to collect weights from related group/groups
|
| 415 |
+
flat_groups_at_rank_i = self.flat_groups[rank_i]
|
| 416 |
+
start_group_id = None
|
| 417 |
+
end_group_id = None
|
| 418 |
+
for group_id in range(len(self.flat_groups_offset)):
|
| 419 |
+
if self.flat_groups_offset[group_id] <= self.offset < self.flat_groups_offset[group_id + 1]:
|
| 420 |
+
start_group_id = group_id
|
| 421 |
+
if self.flat_groups_offset[group_id] < end_idx <= self.flat_groups_offset[group_id + 1]:
|
| 422 |
+
end_group_id = group_id
|
| 423 |
+
break
|
| 424 |
+
# collect weights from related group/groups
|
| 425 |
+
for group_id in range(start_group_id, end_group_id + 1):
|
| 426 |
+
flat_tensor = flat_groups_at_rank_i[group_id]
|
| 427 |
+
start_offset = self.offset - self.flat_groups_offset[group_id]
|
| 428 |
+
end_offset = min(end_idx, self.flat_groups_offset[group_id + 1]) - self.flat_groups_offset[group_id]
|
| 429 |
+
pad_flat_param_chunks.append(flat_tensor[start_offset:end_offset])
|
| 430 |
+
|
| 431 |
+
# collect weights from all ranks
|
| 432 |
+
pad_flat_param = torch.cat(pad_flat_param_chunks, dim=0)
|
| 433 |
+
param = pad_flat_param[:self.shape.numel()].view(self.shape).contiguous()
|
| 434 |
+
return param
|
| 435 |
+
|
| 436 |
+
|
| 437 |
+
def _zero3_merge_trainable_params(state_dict, world_size, fp32_flat_groups, zero_model_states):
|
| 438 |
+
param_shapes = zero_model_states[0].param_shapes
|
| 439 |
+
avail_numel = sum([flat_group.numel() for flat_group in fp32_flat_groups[0]]) * world_size
|
| 440 |
+
|
| 441 |
+
# Reconstruction protocol: For zero3 we need to zip the partitions together at boundary of each
|
| 442 |
+
# param, re-consolidating each param, while dealing with padding if any
|
| 443 |
+
|
| 444 |
+
# merge list of dicts, preserving order
|
| 445 |
+
param_shapes = {k: v for d in param_shapes for k, v in d.items()}
|
| 446 |
+
|
| 447 |
+
if debug:
|
| 448 |
+
for i in range(world_size):
|
| 449 |
+
print(f"{FP32_FLAT_GROUPS}[{i}].shape={fp32_flat_groups[i].shape}")
|
| 450 |
+
|
| 451 |
+
wanted_params = len(param_shapes)
|
| 452 |
+
wanted_numel = sum(shape.numel() for shape in param_shapes.values())
|
| 453 |
+
# not asserting if there is a mismatch due to possible padding
|
| 454 |
+
avail_numel = fp32_flat_groups[0].numel() * world_size
|
| 455 |
+
print(f"Trainable params: Have {avail_numel} numels to process.")
|
| 456 |
+
print(f"Trainable params: Need {wanted_numel} numels in {wanted_params} params.")
|
| 457 |
+
|
| 458 |
+
# params
|
| 459 |
+
# XXX: for huge models that can't fit into the host's RAM we will have to recode this to support
|
| 460 |
+
# out-of-core computing solution
|
| 461 |
+
offset = 0
|
| 462 |
+
total_numel = 0
|
| 463 |
+
total_params = 0
|
| 464 |
+
flat_groups_offset = [0] + list(np.cumsum([flat_tensor.numel() for flat_tensor in fp32_flat_groups[0]]))
|
| 465 |
+
for name, shape in tqdm(param_shapes.items(), desc='Gathering sharded weights'):
|
| 466 |
+
unpartitioned_numel = shape.numel()
|
| 467 |
+
total_numel += unpartitioned_numel
|
| 468 |
+
total_params += 1
|
| 469 |
+
partitioned_numel, partitioned_padding_numel = zero3_partitioned_param_info(unpartitioned_numel, world_size)
|
| 470 |
+
|
| 471 |
+
if debug:
|
| 472 |
+
print(
|
| 473 |
+
f"Trainable params: {total_params} {name} full shape: {shape} partition0 numel={partitioned_numel} partitioned_padding_numel={partitioned_padding_numel}"
|
| 474 |
+
)
|
| 475 |
+
|
| 476 |
+
# memory efficient tensor
|
| 477 |
+
tensor = GatheredTensor(fp32_flat_groups, flat_groups_offset, offset, partitioned_numel, shape)
|
| 478 |
+
state_dict[name] = tensor
|
| 479 |
+
offset += partitioned_numel
|
| 480 |
+
|
| 481 |
+
offset *= world_size
|
| 482 |
+
|
| 483 |
+
# Sanity check
|
| 484 |
+
if offset != avail_numel:
|
| 485 |
+
raise ValueError(f"consumed {offset} numels out of {avail_numel} - something is wrong")
|
| 486 |
+
|
| 487 |
+
print(f"Reconstructed Trainable fp32 state dict with {total_params} params {total_numel} elements")
|
| 488 |
+
|
| 489 |
+
|
| 490 |
+
def _get_fp32_state_dict_from_zero3_checkpoint(world_size, fp32_flat_groups, zero_model_states,
|
| 491 |
+
exclude_frozen_parameters):
|
| 492 |
+
state_dict = OrderedDict()
|
| 493 |
+
|
| 494 |
+
# buffers
|
| 495 |
+
buffers = zero_model_states[0].buffers
|
| 496 |
+
state_dict.update(buffers)
|
| 497 |
+
if debug:
|
| 498 |
+
print(f"added {len(buffers)} buffers")
|
| 499 |
+
|
| 500 |
+
if not exclude_frozen_parameters:
|
| 501 |
+
_zero3_merge_frozen_params(state_dict, world_size, zero_model_states)
|
| 502 |
+
|
| 503 |
+
_zero3_merge_trainable_params(state_dict, world_size, fp32_flat_groups, zero_model_states)
|
| 504 |
+
|
| 505 |
+
# recover shared parameters
|
| 506 |
+
for pair in zero_model_states[0].shared_params:
|
| 507 |
+
if pair[1] in state_dict:
|
| 508 |
+
state_dict[pair[0]] = state_dict[pair[1]]
|
| 509 |
+
|
| 510 |
+
return state_dict
|
| 511 |
+
|
| 512 |
+
|
| 513 |
+
def to_torch_tensor(state_dict, return_empty_tensor=False):
|
| 514 |
+
"""
|
| 515 |
+
Convert state_dict of GatheredTensor to torch tensor
|
| 516 |
+
"""
|
| 517 |
+
torch_state_dict = {}
|
| 518 |
+
converted_tensors = {}
|
| 519 |
+
for name, tensor in state_dict.items():
|
| 520 |
+
tensor_id = id(tensor)
|
| 521 |
+
if tensor_id in converted_tensors: # shared tensors
|
| 522 |
+
shared_tensor = torch_state_dict[converted_tensors[tensor_id]]
|
| 523 |
+
torch_state_dict[name] = shared_tensor
|
| 524 |
+
else:
|
| 525 |
+
converted_tensors[tensor_id] = name
|
| 526 |
+
if return_empty_tensor:
|
| 527 |
+
torch_state_dict[name] = torch.empty(tensor.shape, dtype=tensor.dtype)
|
| 528 |
+
else:
|
| 529 |
+
torch_state_dict[name] = tensor.contiguous()
|
| 530 |
+
return torch_state_dict
|
| 531 |
+
|
| 532 |
+
|
| 533 |
+
def get_fp32_state_dict_from_zero_checkpoint(checkpoint_dir,
|
| 534 |
+
tag=None,
|
| 535 |
+
exclude_frozen_parameters=False,
|
| 536 |
+
lazy_mode=False):
|
| 537 |
+
"""
|
| 538 |
+
Convert ZeRO 2 or 3 checkpoint into a single fp32 consolidated state_dict that can be loaded with
|
| 539 |
+
``load_state_dict()`` and used for training without DeepSpeed or shared with others, for example
|
| 540 |
+
via a model hub.
|
| 541 |
+
|
| 542 |
+
Args:
|
| 543 |
+
- ``checkpoint_dir``: path to the desired checkpoint folder
|
| 544 |
+
- ``tag``: checkpoint tag used as a unique identifier for checkpoint. If not provided will attempt to load tag in 'latest' file. e.g., ``global_step14``
|
| 545 |
+
- ``exclude_frozen_parameters``: exclude frozen parameters
|
| 546 |
+
- ``lazy_mode``: get state_dict in lazy mode. It returns a dict of pesduo tensor instead of torch tensor, which is more memory efficient.
|
| 547 |
+
Convert the pesduo tensor to torch tensor by ``.contiguous()``
|
| 548 |
+
|
| 549 |
+
Returns:
|
| 550 |
+
- pytorch ``state_dict``
|
| 551 |
+
|
| 552 |
+
A typical usage might be ::
|
| 553 |
+
|
| 554 |
+
from deepspeed.utils.zero_to_fp32 import get_fp32_state_dict_from_zero_checkpoint
|
| 555 |
+
# do the training and checkpoint saving
|
| 556 |
+
state_dict = get_fp32_state_dict_from_zero_checkpoint(checkpoint_dir) # already on cpu
|
| 557 |
+
model = model.cpu() # move to cpu
|
| 558 |
+
model.load_state_dict(state_dict)
|
| 559 |
+
# submit to model hub or save the model to share with others
|
| 560 |
+
|
| 561 |
+
In this example the ``model`` will no longer be usable in the deepspeed context of the same
|
| 562 |
+
application. i.e. you will need to re-initialize the deepspeed engine, since
|
| 563 |
+
``model.load_state_dict(state_dict)`` will remove all the deepspeed magic from it.
|
| 564 |
+
|
| 565 |
+
If you want it all done for you, use ``load_state_dict_from_zero_checkpoint`` instead.
|
| 566 |
+
|
| 567 |
+
Note: the above usage may not work if your application doesn't have sufficient free CPU memory.
|
| 568 |
+
You may need to use the offline approach using the ``zero_to_fp32.py`` script that is saved with
|
| 569 |
+
the checkpoint. Or you can load state_dict in lazy mode ::
|
| 570 |
+
|
| 571 |
+
from deepspeed.utils.zero_to_fp32 import get_fp32_state_dict_from_zero_checkpoint
|
| 572 |
+
state_dict = get_fp32_state_dict_from_zero_checkpoint(checkpoint_dir, lazy_mode=True) # not on cpu
|
| 573 |
+
for name, lazy_tensor in state_dict.item():
|
| 574 |
+
tensor = lazy_tensor.contiguous() # to cpu
|
| 575 |
+
print(name, tensor)
|
| 576 |
+
# del tensor to release memory if it no longer in use
|
| 577 |
+
"""
|
| 578 |
+
if tag is None:
|
| 579 |
+
latest_path = os.path.join(checkpoint_dir, 'latest')
|
| 580 |
+
if os.path.isfile(latest_path):
|
| 581 |
+
with open(latest_path, 'r') as fd:
|
| 582 |
+
tag = fd.read().strip()
|
| 583 |
+
else:
|
| 584 |
+
raise ValueError(f"Unable to find 'latest' file at {latest_path}")
|
| 585 |
+
|
| 586 |
+
ds_checkpoint_dir = os.path.join(checkpoint_dir, tag)
|
| 587 |
+
|
| 588 |
+
if not os.path.isdir(ds_checkpoint_dir):
|
| 589 |
+
raise FileNotFoundError(f"Directory '{ds_checkpoint_dir}' doesn't exist")
|
| 590 |
+
|
| 591 |
+
state_dict = _get_fp32_state_dict_from_zero_checkpoint(ds_checkpoint_dir, exclude_frozen_parameters)
|
| 592 |
+
if lazy_mode:
|
| 593 |
+
return state_dict
|
| 594 |
+
else:
|
| 595 |
+
return to_torch_tensor(state_dict)
|
| 596 |
+
|
| 597 |
+
|
| 598 |
+
def convert_zero_checkpoint_to_fp32_state_dict(checkpoint_dir,
|
| 599 |
+
output_dir,
|
| 600 |
+
max_shard_size="5GB",
|
| 601 |
+
safe_serialization=False,
|
| 602 |
+
tag=None,
|
| 603 |
+
exclude_frozen_parameters=False):
|
| 604 |
+
"""
|
| 605 |
+
Convert ZeRO 2 or 3 checkpoint into a single fp32 consolidated ``state_dict`` file that can be
|
| 606 |
+
loaded with ``torch.load(file)`` + ``load_state_dict()`` and used for training without DeepSpeed.
|
| 607 |
+
|
| 608 |
+
Args:
|
| 609 |
+
- ``checkpoint_dir``: path to the desired checkpoint folder. (one that contains the tag-folder, like ``global_step14``)
|
| 610 |
+
- ``output_dir``: directory to the pytorch fp32 state_dict output files
|
| 611 |
+
- ``max_shard_size``: the maximum size for a checkpoint before being sharded, default value is 5GB
|
| 612 |
+
- ``safe_serialization``: whether to save the model using `safetensors` or the traditional PyTorch way (that uses `pickle`).
|
| 613 |
+
- ``tag``: checkpoint tag used as a unique identifier for checkpoint. If not provided will attempt to load tag in the file named ``latest`` in the checkpoint folder, e.g., ``global_step14``
|
| 614 |
+
- ``exclude_frozen_parameters``: exclude frozen parameters
|
| 615 |
+
"""
|
| 616 |
+
|
| 617 |
+
# Dependency pre-check
|
| 618 |
+
if safe_serialization:
|
| 619 |
+
try:
|
| 620 |
+
from safetensors.torch import save_file
|
| 621 |
+
except ImportError:
|
| 622 |
+
print('If you want to use `safe_serialization`, please `pip install safetensors`')
|
| 623 |
+
raise
|
| 624 |
+
if max_shard_size is not None:
|
| 625 |
+
try:
|
| 626 |
+
from huggingface_hub import split_torch_state_dict_into_shards
|
| 627 |
+
except ImportError:
|
| 628 |
+
print('If you want to use `max_shard_size`, please `pip install huggingface_hub`')
|
| 629 |
+
raise
|
| 630 |
+
|
| 631 |
+
# Convert zero checkpoint to state_dict
|
| 632 |
+
state_dict = get_fp32_state_dict_from_zero_checkpoint(checkpoint_dir,
|
| 633 |
+
tag,
|
| 634 |
+
exclude_frozen_parameters,
|
| 635 |
+
lazy_mode=True)
|
| 636 |
+
|
| 637 |
+
# Shard the model if it is too big.
|
| 638 |
+
weights_name = "model.safetensors" if safe_serialization else "pytorch_model.bin"
|
| 639 |
+
if max_shard_size is not None:
|
| 640 |
+
filename_pattern = weights_name.replace(".bin", "{suffix}.bin").replace(".safetensors", "{suffix}.safetensors")
|
| 641 |
+
# an memory-efficient approach for sharding
|
| 642 |
+
empty_state_dict = to_torch_tensor(state_dict, return_empty_tensor=True)
|
| 643 |
+
state_dict_split = split_torch_state_dict_into_shards(empty_state_dict,
|
| 644 |
+
filename_pattern=filename_pattern,
|
| 645 |
+
max_shard_size=max_shard_size)
|
| 646 |
+
else:
|
| 647 |
+
from collections import namedtuple
|
| 648 |
+
StateDictSplit = namedtuple("StateDictSplit", ["is_sharded", "filename_to_tensors"])
|
| 649 |
+
state_dict_split = StateDictSplit(is_sharded=False,
|
| 650 |
+
filename_to_tensors={weights_name: list(state_dict.keys())})
|
| 651 |
+
|
| 652 |
+
# Save the model by shard
|
| 653 |
+
os.makedirs(output_dir, exist_ok=True)
|
| 654 |
+
filename_to_tensors = state_dict_split.filename_to_tensors.items()
|
| 655 |
+
for shard_file, tensors in tqdm(filename_to_tensors, desc="Saving checkpoint shards"):
|
| 656 |
+
shard_state_dict = {tensor_name: state_dict[tensor_name] for tensor_name in tensors}
|
| 657 |
+
shard_state_dict = to_torch_tensor(shard_state_dict)
|
| 658 |
+
output_path = os.path.join(output_dir, shard_file)
|
| 659 |
+
if safe_serialization:
|
| 660 |
+
save_file(shard_state_dict, output_path, metadata={"format": "pt"})
|
| 661 |
+
else:
|
| 662 |
+
torch.save(shard_state_dict, output_path)
|
| 663 |
+
# release the memory of current shard
|
| 664 |
+
for tensor_name in list(shard_state_dict.keys()):
|
| 665 |
+
del state_dict[tensor_name]
|
| 666 |
+
del shard_state_dict[tensor_name]
|
| 667 |
+
del shard_state_dict
|
| 668 |
+
gc.collect()
|
| 669 |
+
|
| 670 |
+
# Save index if sharded
|
| 671 |
+
if state_dict_split.is_sharded:
|
| 672 |
+
index = {
|
| 673 |
+
"metadata": state_dict_split.metadata,
|
| 674 |
+
"weight_map": state_dict_split.tensor_to_filename,
|
| 675 |
+
}
|
| 676 |
+
save_index_file = "model.safetensors.index.json" if safe_serialization else "pytorch_model.bin.index.json"
|
| 677 |
+
save_index_file = os.path.join(output_dir, save_index_file)
|
| 678 |
+
with open(save_index_file, "w", encoding="utf-8") as f:
|
| 679 |
+
content = json.dumps(index, indent=2, sort_keys=True) + "\n"
|
| 680 |
+
f.write(content)
|
| 681 |
+
|
| 682 |
+
|
| 683 |
+
def load_state_dict_from_zero_checkpoint(model, checkpoint_dir, tag=None):
|
| 684 |
+
"""
|
| 685 |
+
1. Put the provided model to cpu
|
| 686 |
+
2. Convert ZeRO 2 or 3 checkpoint into a single fp32 consolidated ``state_dict``
|
| 687 |
+
3. Load it into the provided model
|
| 688 |
+
|
| 689 |
+
Args:
|
| 690 |
+
- ``model``: the model object to update
|
| 691 |
+
- ``checkpoint_dir``: path to the desired checkpoint folder. (one that contains the tag-folder, like ``global_step14``)
|
| 692 |
+
- ``tag``: checkpoint tag used as a unique identifier for checkpoint. If not provided will attempt to load tag in the file named ``latest`` in the checkpoint folder, e.g., ``global_step14``
|
| 693 |
+
|
| 694 |
+
Returns:
|
| 695 |
+
- ``model`: modified model
|
| 696 |
+
|
| 697 |
+
Make sure you have plenty of CPU memory available before you call this function. If you don't
|
| 698 |
+
have enough use the ``zero_to_fp32.py`` utility to do the conversion. You will find it
|
| 699 |
+
conveniently placed for you in the checkpoint folder.
|
| 700 |
+
|
| 701 |
+
A typical usage might be ::
|
| 702 |
+
|
| 703 |
+
from deepspeed.utils.zero_to_fp32 import load_state_dict_from_zero_checkpoint
|
| 704 |
+
model = load_state_dict_from_zero_checkpoint(trainer.model, checkpoint_dir)
|
| 705 |
+
# submit to model hub or save the model to share with others
|
| 706 |
+
|
| 707 |
+
Note, that once this was run, the ``model`` will no longer be usable in the deepspeed context
|
| 708 |
+
of the same application. i.e. you will need to re-initialize the deepspeed engine, since
|
| 709 |
+
``model.load_state_dict(state_dict)`` will remove all the deepspeed magic from it.
|
| 710 |
+
|
| 711 |
+
"""
|
| 712 |
+
logger.info(f"Extracting fp32 weights")
|
| 713 |
+
state_dict = get_fp32_state_dict_from_zero_checkpoint(checkpoint_dir, tag)
|
| 714 |
+
|
| 715 |
+
logger.info(f"Overwriting model with fp32 weights")
|
| 716 |
+
model = model.cpu()
|
| 717 |
+
model.load_state_dict(state_dict, strict=False)
|
| 718 |
+
|
| 719 |
+
return model
|
| 720 |
+
|
| 721 |
+
|
| 722 |
+
if __name__ == "__main__":
|
| 723 |
+
parser = argparse.ArgumentParser()
|
| 724 |
+
parser.add_argument("checkpoint_dir",
|
| 725 |
+
type=str,
|
| 726 |
+
help="path to the desired checkpoint folder, e.g., path/checkpoint-12")
|
| 727 |
+
parser.add_argument("output_dir",
|
| 728 |
+
type=str,
|
| 729 |
+
help="directory to the pytorch fp32 state_dict output files"
|
| 730 |
+
"(e.g. path/checkpoint-12-output/)")
|
| 731 |
+
parser.add_argument(
|
| 732 |
+
"--max_shard_size",
|
| 733 |
+
type=str,
|
| 734 |
+
default="5GB",
|
| 735 |
+
help="The maximum size for a checkpoint before being sharded. Checkpoints shard will then be each of size"
|
| 736 |
+
"lower than this size. If expressed as a string, needs to be digits followed by a unit (like `5MB`"
|
| 737 |
+
"We default it to 5GB in order for models to be able to run easily on free-tier google colab instances"
|
| 738 |
+
"without CPU OOM issues.")
|
| 739 |
+
parser.add_argument(
|
| 740 |
+
"--safe_serialization",
|
| 741 |
+
default=False,
|
| 742 |
+
action='store_true',
|
| 743 |
+
help="Whether to save the model using `safetensors` or the traditional PyTorch way (that uses `pickle`).")
|
| 744 |
+
parser.add_argument("-t",
|
| 745 |
+
"--tag",
|
| 746 |
+
type=str,
|
| 747 |
+
default=None,
|
| 748 |
+
help="checkpoint tag used as a unique identifier for checkpoint. e.g., global_step1")
|
| 749 |
+
parser.add_argument("--exclude_frozen_parameters", action='store_true', help="exclude frozen parameters")
|
| 750 |
+
parser.add_argument("-d", "--debug", action='store_true', help="enable debug")
|
| 751 |
+
args = parser.parse_args()
|
| 752 |
+
|
| 753 |
+
debug = args.debug
|
| 754 |
+
|
| 755 |
+
convert_zero_checkpoint_to_fp32_state_dict(args.checkpoint_dir,
|
| 756 |
+
args.output_dir,
|
| 757 |
+
max_shard_size=args.max_shard_size,
|
| 758 |
+
safe_serialization=args.safe_serialization,
|
| 759 |
+
tag=args.tag,
|
| 760 |
+
exclude_frozen_parameters=args.exclude_frozen_parameters)
|