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--- |
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license: mit |
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base_model: HuggingFaceH4/zephyr-7b-beta |
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tags: |
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- trl |
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- sft |
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- generated_from_trainer |
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model-index: |
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- name: results |
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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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# results |
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This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6622 |
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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: 2e-05 |
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- train_batch_size: 4 |
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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: constant |
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- lr_scheduler_warmup_ratio: 0.03 |
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- num_epochs: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.5641 | 0.14 | 100 | 1.4610 | |
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| 1.1695 | 0.28 | 200 | 1.0388 | |
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| 1.0319 | 0.42 | 300 | 0.9440 | |
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| 0.905 | 0.56 | 400 | 0.8829 | |
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| 0.8655 | 0.7 | 500 | 0.8225 | |
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| 0.8329 | 0.85 | 600 | 0.8042 | |
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| 0.85 | 0.99 | 700 | 0.7728 | |
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| 0.7348 | 1.13 | 800 | 0.7426 | |
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| 0.6723 | 1.27 | 900 | 0.7197 | |
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| 0.6791 | 1.41 | 1000 | 0.6933 | |
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| 0.6576 | 1.55 | 1100 | 0.6864 | |
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| 0.6863 | 1.69 | 1200 | 0.6731 | |
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| 0.6328 | 1.83 | 1300 | 0.6652 | |
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| 0.6264 | 1.97 | 1400 | 0.6622 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.17.0 |
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- Tokenizers 0.15.1 |
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