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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Baby-Llama-58M-RUN3_5 |
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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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# Baby-Llama-58M-RUN3_5 |
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 5.2656 |
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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: 0.00025 |
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- train_batch_size: 32 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 50 |
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- num_epochs: 20 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 287.9659 | 1.0 | 12 | 256.0041 | |
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| 230.7873 | 2.0 | 24 | 212.6014 | |
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| 207.1002 | 3.0 | 36 | 180.9384 | |
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| 121.5561 | 4.0 | 48 | 107.3193 | |
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| 81.2108 | 5.0 | 60 | 71.6529 | |
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| 45.9781 | 6.0 | 72 | 40.4501 | |
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| 24.5986 | 7.0 | 84 | 22.4212 | |
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| 15.2205 | 8.0 | 96 | 13.7469 | |
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| 10.1247 | 9.0 | 108 | 9.8119 | |
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| 7.975 | 10.0 | 120 | 7.8583 | |
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| 6.7087 | 11.0 | 132 | 7.0360 | |
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| 6.1988 | 12.0 | 144 | 6.4104 | |
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| 5.6752 | 13.0 | 156 | 6.1222 | |
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| 5.5155 | 14.0 | 168 | 5.8179 | |
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| 4.7754 | 15.0 | 180 | 5.5676 | |
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| 4.816 | 16.0 | 192 | 5.4583 | |
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| 4.817 | 17.0 | 204 | 5.3641 | |
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| 4.6966 | 18.0 | 216 | 5.3147 | |
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| 4.8322 | 19.0 | 228 | 5.2867 | |
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| 4.4875 | 20.0 | 240 | 5.2656 | |
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### Framework versions |
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- Transformers 4.39.1 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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