| | --- |
| | 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_e3_save5000_f3 |
| | 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_e3_save5000_f3 |
| |
|
| | 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: 1.9449 |
| |
|
| | ## 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: 8 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 3 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:------:|:-----:|:---------------:| |
| | | 1.7548 | 0.1907 | 1000 | 1.9449 | |
| | | 1.3912 | 0.3814 | 2000 | 2.0170 | |
| | | 0.9994 | 0.5721 | 3000 | 2.1840 | |
| | | 0.6462 | 0.7628 | 4000 | 2.3842 | |
| | | 0.3791 | 0.9535 | 5000 | 2.7062 | |
| | | 0.2017 | 1.1442 | 6000 | 2.9006 | |
| | | 0.1723 | 1.3349 | 7000 | 3.0643 | |
| | | 0.1449 | 1.5256 | 8000 | 3.2089 | |
| | | 0.1292 | 1.7162 | 9000 | 3.3468 | |
| | | 0.1177 | 1.9069 | 10000 | 3.4686 | |
| | | 0.0996 | 2.0976 | 11000 | 3.5735 | |
| | | 0.0966 | 2.2883 | 12000 | 3.6707 | |
| | | 0.0913 | 2.4790 | 13000 | 3.7954 | |
| | | 0.0916 | 2.6697 | 14000 | 3.9067 | |
| | | 0.0859 | 2.8604 | 15000 | 3.9867 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.45.0 |
| | - Pytorch 2.3.0 |
| | - Datasets 2.14.4 |
| | - Tokenizers 0.20.3 |
| |
|
