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--- |
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library_name: transformers |
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base_model: babylm/babyllama-100m-2024 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: babylama-attentionchange_correct |
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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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# babylama-attentionchange_correct |
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This model is a fine-tuned version of [babylm/babyllama-100m-2024](https://huggingface.co/babylm/babyllama-100m-2024) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.9352 |
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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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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 64 |
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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: cosine |
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- num_epochs: 5 |
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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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| 4.3004 | 0.9999 | 5559 | 4.3369 | |
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| 4.0455 | 1.9999 | 11119 | 4.0892 | |
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| 3.9127 | 2.9998 | 16678 | 3.9810 | |
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| 3.8062 | 3.9999 | 22238 | 3.9395 | |
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| 3.7813 | 4.9994 | 27795 | 3.9352 | |
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### Framework versions |
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- Transformers 4.46.2 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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