End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: kakaocorp/kanana-1.5-2.1b-instruct-2505
+tags:
+- axolotl
+- generated_from_trainer
+datasets:
+- train.jsonl
+model-index:
+- name: fc-reasoning-2.1b
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.12.2`
+```yaml
+base_model: kakaocorp/kanana-1.5-2.1b-instruct-2505
+
+
+load_in_8bit: false
+load_in_4bit: false
+
+datasets:
+  - path: train.jsonl
+    type: chat_template
+
+dataset_prepared_path: preprocess
+val_set_size: 0.01
+output_dir: ./outputs
+dataloader_num_workers: 56
+
+adapter: 
+lora_model_dir:
+
+sequence_len: 16384
+sample_packing: false
+eval_sample_packing: false
+pad_to_sequence_len: false
+
+plugins:
+  - axolotl.integrations.liger.LigerPlugin
+liger_rope: true
+liger_rms_norm: true
+liger_swiglu: true
+liger_fused_linear_cross_entropy: true
+
+wandb_project: fastcampus
+wandb_entity: guijinson
+wandb_watch:
+wandb_name: fc-proj2-reasoning-2.1b
+wandb_log_model:
+hub_model_id: amphora/fc-reasoning-2.1b
+
+gradient_accumulation_steps: 64
+micro_batch_size: 2
+num_epochs: 3
+optimizer: adamw_torch_fused
+lr_scheduler: cosine
+learning_rate: 2e-5
+
+bf16: auto
+tf32: false
+
+gradient_checkpointing:
+resume_from_checkpoint:
+logging_steps: 1
+flash_attention: true
+
+warmup_ratio: 0.05
+weight_decay: 0.01
+evals_per_epoch: 0
+saves_per_epoch: 1
+
+```
+
+</details><br>
+
+# fc-reasoning-2.1b
+
+This model is a fine-tuned version of [kakaocorp/kanana-1.5-2.1b-instruct-2505](https://huggingface.co/kakaocorp/kanana-1.5-2.1b-instruct-2505) on the train.jsonl dataset.
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 64
+- total_train_batch_size: 128
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 53
+- training_steps: 1072
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.55.2
+- Pytorch 2.6.0+cu126
+- Datasets 4.0.0
+- Tokenizers 0.21.4