| --- |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: Llama-360M |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # Llama-360M |
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| This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 5.1685 |
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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: |
| - learning_rate: 0.0003 |
| - train_batch_size: 16 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 8 |
| - total_train_batch_size: 128 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_steps: 50 |
| - num_epochs: 10 |
| - mixed_precision_training: Native AMP |
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| ### Training results |
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|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 8.4647 | 0.98 | 7 | 8.5154 | |
| | 7.2112 | 1.96 | 14 | 7.6819 | |
| | 6.3283 | 2.95 | 21 | 6.9987 | |
| | 5.5163 | 3.93 | 28 | 6.4019 | |
| | 4.7022 | 4.91 | 35 | 5.8715 | |
| | 3.7692 | 5.89 | 42 | 5.4877 | |
| | 3.2137 | 6.88 | 49 | 5.2686 | |
| | 2.6388 | 8.0 | 57 | 5.1854 | |
| | 2.0768 | 8.98 | 64 | 5.1622 | |
| | 1.715 | 9.82 | 70 | 5.1685 | |
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| ### Framework versions |
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| - Transformers 4.39.1 |
| - Pytorch 2.1.2+cu121 |
| - Datasets 2.16.1 |
| - Tokenizers 0.15.0 |
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