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--- |
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base_model: mrs-7b |
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tags: |
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- alignment-handbook |
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- generated_from_trainer |
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datasets: |
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- gpt4_reward_with_format |
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model-index: |
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- name: zephyr-7b-sft-lora |
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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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# zephyr-7b-sft-lora |
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This model is a fine-tuned version of zephyr-7b on the gpt4_reward. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0911 |
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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: 3 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- gradient_accumulation_steps: 64 |
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- total_train_batch_size: 192 |
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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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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.1001 | 1.0 | 219 | 0.1006 | |
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| 0.0969 | 2.0 | 439 | 0.0930 | |
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| 0.0795 | 2.99 | 657 | 0.0911 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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