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