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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: Llama-360M |
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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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# Llama-360M |
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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: 3.8245 |
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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: 0.0003 |
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- train_batch_size: 16 |
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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: 128 |
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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: 300 |
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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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| 8.6417 | 1.0 | 3 | 8.5751 | |
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| 8.3908 | 2.0 | 6 | 8.3473 | |
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| 7.9583 | 3.0 | 9 | 7.9814 | |
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| 7.3598 | 4.0 | 12 | 7.5011 | |
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| 6.7468 | 5.0 | 15 | 6.9942 | |
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| 6.3345 | 6.0 | 18 | 6.6309 | |
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| 6.0489 | 7.0 | 21 | 6.3987 | |
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| 5.9651 | 8.0 | 24 | 6.2101 | |
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| 5.7683 | 9.0 | 27 | 5.9691 | |
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| 5.3051 | 10.0 | 30 | 5.5791 | |
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| 4.6791 | 11.0 | 33 | 5.1445 | |
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| 4.3962 | 12.0 | 36 | 4.8859 | |
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| 4.0007 | 13.0 | 39 | 4.7013 | |
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| 3.9473 | 14.0 | 42 | 4.4994 | |
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| 3.5486 | 15.0 | 45 | 4.3178 | |
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| 3.3243 | 16.0 | 48 | 4.1587 | |
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| 3.1305 | 17.0 | 51 | 4.0505 | |
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| 2.8703 | 18.0 | 54 | 3.9467 | |
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| 2.7661 | 19.0 | 57 | 3.8780 | |
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| 2.7976 | 20.0 | 60 | 3.8245 | |
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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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