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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-450M |
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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-450M |
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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: 5.8986 |
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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: 50 |
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- num_epochs: 15 |
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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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| 8.6051 | 0.89 | 2 | 8.5427 | |
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| 8.1233 | 1.78 | 4 | 8.2081 | |
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| 7.2688 | 2.67 | 6 | 7.6786 | |
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| 6.3982 | 4.0 | 9 | 7.0782 | |
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| 5.8794 | 4.89 | 11 | 6.7779 | |
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| 5.4786 | 5.78 | 13 | 6.5717 | |
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| 4.994 | 6.67 | 15 | 6.3356 | |
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| 4.35 | 8.0 | 18 | 6.2257 | |
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| 3.9757 | 8.89 | 20 | 6.0451 | |
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| 3.4479 | 9.78 | 22 | 6.0242 | |
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| 3.1004 | 10.67 | 24 | 5.9219 | |
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| 2.5207 | 12.0 | 27 | 5.8224 | |
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| 2.1123 | 12.89 | 29 | 5.9286 | |
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| 1.7641 | 13.33 | 30 | 5.8986 | |
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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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