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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_e15 |
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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_e15 |
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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: 2.1070 |
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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: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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: 3.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:-----:|:---------------:| |
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| 2.1363 | 0.0954 | 500 | 2.1185 | |
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| 1.7868 | 0.1908 | 1000 | 2.1070 | |
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| 1.5132 | 0.2862 | 1500 | 2.1743 | |
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| 1.238 | 0.3815 | 2000 | 2.2694 | |
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| 0.9723 | 0.4769 | 2500 | 2.3214 | |
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| 0.7249 | 0.5723 | 3000 | 2.4423 | |
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| 0.5657 | 0.6677 | 3500 | 2.5636 | |
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| 0.4404 | 0.7631 | 4000 | 2.6851 | |
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| 0.3192 | 0.8585 | 4500 | 2.8630 | |
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| 0.2676 | 0.9538 | 5000 | 2.9741 | |
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| 0.2057 | 1.0492 | 5500 | 3.0958 | |
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| 0.1792 | 1.1446 | 6000 | 3.1219 | |
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| 0.1691 | 1.2400 | 6500 | 3.1735 | |
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| 0.1597 | 1.3354 | 7000 | 3.2299 | |
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| 0.1516 | 1.4308 | 7500 | 3.2997 | |
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| 0.1422 | 1.5261 | 8000 | 3.2759 | |
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| 0.1372 | 1.6215 | 8500 | 3.3557 | |
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| 0.1301 | 1.7169 | 9000 | 3.4023 | |
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| 0.1229 | 1.8123 | 9500 | 3.4617 | |
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| 0.1183 | 1.9077 | 10000 | 3.4668 | |
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| 0.1119 | 2.0031 | 10500 | 3.5609 | |
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| 0.0924 | 2.0984 | 11000 | 3.5975 | |
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| 0.0926 | 2.1938 | 11500 | 3.6429 | |
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| 0.089 | 2.2892 | 12000 | 3.6586 | |
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| 0.0881 | 2.3846 | 12500 | 3.6920 | |
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| 0.0861 | 2.4800 | 13000 | 3.7656 | |
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| 0.0835 | 2.5754 | 13500 | 3.7939 | |
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| 0.0803 | 2.6707 | 14000 | 3.8398 | |
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| 0.0797 | 2.7661 | 14500 | 3.8909 | |
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| 0.0774 | 2.8615 | 15000 | 3.9238 | |
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| 0.0759 | 2.9569 | 15500 | 3.9394 | |
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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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