| --- |
| library_name: transformers |
| license: llama3.2 |
| base_model: meta-llama/Llama-3.2-3b-instruct |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: llama-cot-o1 |
| 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. --> |
|
|
| # llama-cot-o1 |
|
|
| This model is a fine-tuned version of [meta-llama/Llama-3.2-3b-instruct](https://huggingface.co/meta-llama/Llama-3.2-3b-instruct) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.6532 |
|
|
| ## 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: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 16 |
| - total_train_batch_size: 32 |
| - optimizer: Use 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_ratio: 0.1 |
| - num_epochs: 3 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:----:|:---------------:| |
| | 0.7259 | 0.2168 | 500 | 0.7316 | |
| | 0.6867 | 0.4336 | 1000 | 0.6930 | |
| | 0.6642 | 0.6504 | 1500 | 0.6759 | |
| | 0.6496 | 0.8672 | 2000 | 0.6659 | |
| | 0.6102 | 1.0837 | 2500 | 0.6615 | |
| | 0.6107 | 1.3005 | 3000 | 0.6574 | |
| | 0.6105 | 1.5173 | 3500 | 0.6546 | |
| | 0.5929 | 1.7341 | 4000 | 0.6529 | |
| | 0.5987 | 1.9509 | 4500 | 0.6519 | |
| | 0.5904 | 2.1674 | 5000 | 0.6533 | |
| | 0.5793 | 2.3842 | 5500 | 0.6532 | |
| | 0.5826 | 2.6010 | 6000 | 0.6532 | |
| | 0.5903 | 2.8178 | 6500 | 0.6532 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.47.1 |
| - Pytorch 2.5.1 |
| - Datasets 3.2.0 |
| - Tokenizers 0.21.0 |
| |
