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--- |
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base_model: mistralai/Mistral-7B-v0.1 |
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library_name: peft |
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license: apache-2.0 |
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tags: |
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- trl |
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- dpo |
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- generated_from_trainer |
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model-index: |
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- name: zephyr-7b-dpo-qlora |
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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-dpo-qlora |
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1964.4768 |
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- Rewards/chosen: -0.1407 |
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- Rewards/rejected: -0.2359 |
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- Rewards/accuracies: 0.7243 |
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- Rewards/margins: 0.0952 |
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- Logps/rejected: -25.2353 |
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- Logps/chosen: -15.6615 |
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- Logits/rejected: -6.0582 |
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- Logits/chosen: -5.0283 |
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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: 5e-06 |
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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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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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- total_eval_batch_size: 64 |
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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_ratio: 0.1 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
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|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
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| 2178.8832 | 0.3017 | 100 | 2139.6340 | -0.1014 | -0.1518 | 0.6781 | 0.0504 | -16.8316 | -11.7293 | -3.3193 | -3.1137 | |
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| 1986.1408 | 0.6033 | 200 | 1989.8781 | -0.1408 | -0.2280 | 0.7055 | 0.0872 | -24.4503 | -15.6687 | -6.1921 | -5.2910 | |
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| 2000.1098 | 0.9050 | 300 | 1964.4768 | -0.1407 | -0.2359 | 0.7243 | 0.0952 | -25.2353 | -15.6615 | -6.0582 | -5.0283 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.43.3 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
