sirr
commited on
Commit
·
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Parent(s):
d066b1b
End of training
Browse files- README.md +55 -0
- adapter_config.json +43 -0
- adapter_model.safetensors +3 -0
- added_tokens.json +3 -0
- merges.txt +0 -0
- special_tokens_map.json +6 -0
- tokenizer.json +0 -0
- tokenizer_config.json +10 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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---
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license: mit
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base_model: gpt2-medium
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tags:
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- generated_from_trainer
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datasets:
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- piqa
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model-index:
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- name: platistil
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# platistil
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This model is a fine-tuned version of [gpt2-medium](https://huggingface.co/gpt2-medium) on the piqa dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.001
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: constant
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- lr_scheduler_warmup_ratio: 0.25
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- num_epochs: 3.0
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### Training results
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### Framework versions
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- Transformers 4.32.1
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "gpt2-medium",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"lora_alpha": 32,
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"lora_dropout": 0.1,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 8,
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"revision": null,
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"target_modules": [
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"transformer.h.0.attn.c_attn",
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"transformer.h.1.attn.c_attn",
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"transformer.h.2.attn.c_attn",
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"transformer.h.3.attn.c_attn",
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"transformer.h.4.attn.c_attn",
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"transformer.h.5.attn.c_attn",
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"transformer.h.6.attn.c_attn",
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"transformer.h.7.attn.c_attn",
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"transformer.h.8.attn.c_attn",
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"transformer.h.9.attn.c_attn",
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"transformer.h.10.attn.c_attn",
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"transformer.h.11.attn.c_attn",
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"transformer.h.12.attn.c_attn",
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"transformer.h.13.attn.c_attn",
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"transformer.h.14.attn.c_attn",
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"transformer.h.15.attn.c_attn",
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"transformer.h.16.attn.c_attn",
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"transformer.h.17.attn.c_attn",
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"transformer.h.18.attn.c_attn",
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"transformer.h.19.attn.c_attn",
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"transformer.h.20.attn.c_attn",
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"transformer.h.21.attn.c_attn",
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"transformer.h.22.attn.c_attn",
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"transformer.h.23.attn.c_attn"
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],
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"task_type": "CAUSAL_LM"
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:bb9562ebb4eca660bc4028c9fca124a187c84c301e9bbb5bd16ccfef098325f8
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size 3151856
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added_tokens.json
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{
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"<pad>": 50257
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}
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merges.txt
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special_tokens_map.json
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{
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"bos_token": "<|endoftext|>",
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"eos_token": "<|endoftext|>",
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"pad_token": "<pad>",
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"unk_token": "<|endoftext|>"
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}
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tokenizer.json
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"bos_token": "<|endoftext|>",
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"clean_up_tokenization_spaces": true,
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"eos_token": "<|endoftext|>",
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"model_max_length": 1024,
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"pad_to_multiple_of": 8,
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"tokenizer_class": "GPT2Tokenizer",
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"unk_token": "<|endoftext|>"
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:4d2d6cdb35b79718ff6544b529b6090c2cadb53d585bed5e0c767865bfe4601e
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size 4091
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vocab.json
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