| | --- |
| | library_name: transformers |
| | license: llama3.2 |
| | base_model: meta-llama/Llama-3.2-1B |
| | tags: |
| | - trl |
| | - sft |
| | - generated_from_trainer |
| | model-index: |
| | - name: rationale_model_e10_save5000_eos |
| | 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. --> |
| |
|
| | # rationale_model_e10_save5000_eos |
| |
|
| | This model is a fine-tuned version of [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 2.0876 |
| |
|
| | ## 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: 1e-05 |
| | - train_batch_size: 4 |
| | - eval_batch_size: 4 |
| | - seed: 42 |
| | - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: linear |
| | - num_epochs: 10 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:------:|:------:|:---------------:| |
| | | 1.0611 | 0.4769 | 5000 | 2.0876 | |
| | | 0.3274 | 0.9538 | 10000 | 2.7190 | |
| | | 0.1866 | 1.4308 | 15000 | 2.9944 | |
| | | 0.1541 | 1.9077 | 20000 | 3.1986 | |
| | | 0.1317 | 2.3846 | 25000 | 3.2512 | |
| | | 0.1239 | 2.8615 | 30000 | 3.4157 | |
| | | 0.1082 | 3.3384 | 35000 | 3.4850 | |
| | | 0.1058 | 3.8153 | 40000 | 3.5546 | |
| | | 0.0903 | 4.2923 | 45000 | 3.6930 | |
| | | 0.0888 | 4.7692 | 50000 | 3.7675 | |
| | | 0.0705 | 5.2461 | 55000 | 3.8942 | |
| | | 0.071 | 5.7230 | 60000 | 4.0015 | |
| | | 0.0547 | 6.1999 | 65000 | 4.1481 | |
| | | 0.0554 | 6.6768 | 70000 | 4.2596 | |
| | | 0.0463 | 7.1538 | 75000 | 4.3939 | |
| | | 0.0451 | 7.6307 | 80000 | 4.4723 | |
| | | 0.0395 | 8.1076 | 85000 | 4.6841 | |
| | | 0.0395 | 8.5845 | 90000 | 4.7395 | |
| | | 0.0361 | 9.0614 | 95000 | 4.8502 | |
| | | 0.0368 | 9.5383 | 100000 | 4.8884 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.46.3 |
| | - Pytorch 2.3.0 |
| | - Datasets 2.14.4 |
| | - Tokenizers 0.20.3 |
| |
|
