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--- |
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library_name: transformers |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: rerun-09-19-2024-experiment-distill-tree-babylm2024-360-0 |
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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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# rerun-09-19-2024-experiment-distill-tree-babylm2024-360-0 |
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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: 1.7969 |
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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: 64 |
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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: 200 |
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- num_epochs: 10 |
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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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| 5.2646 | 1.0 | 2065 | 5.7078 | |
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| 3.1369 | 2.0 | 4130 | 3.4836 | |
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| 2.5043 | 3.0 | 6195 | 2.8597 | |
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| 2.2114 | 4.0 | 8260 | 2.4983 | |
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| 1.8935 | 5.0 | 10325 | 2.2635 | |
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| 1.7655 | 6.0 | 12390 | 2.0539 | |
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| 1.591 | 7.0 | 14455 | 1.9009 | |
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| 1.518 | 8.0 | 16520 | 1.8300 | |
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| 1.4563 | 9.0 | 18585 | 1.8031 | |
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| 1.4882 | 10.0 | 20650 | 1.7969 | |
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### Framework versions |
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- Transformers 4.45.0.dev0 |
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- Pytorch 2.4.0+cu121 |
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- Tokenizers 0.19.1 |
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