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--- |
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license: mit |
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base_model: HuggingFaceH4/mistral-7b-sft-beta |
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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-full |
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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-full |
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This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface.co/HuggingFaceH4/mistral-7b-sft-beta) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0270 |
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- Rewards/chosen: -1.1958 |
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- Rewards/rejected: -1.8757 |
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- Rewards/accuracies: 0.7266 |
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- Rewards/margins: 0.6799 |
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- Logps/rejected: -444.9223 |
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- Logps/chosen: -376.6192 |
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- Logits/rejected: -2.4111 |
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- Logits/chosen: -2.4251 |
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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-07 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 5 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- gradient_accumulation_steps: 2 |
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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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| 0.0517 | 0.21 | 100 | 0.0427 | -0.6331 | -1.0207 | 0.7031 | 0.3876 | -359.4206 | -320.3455 | -2.7320 | -2.7523 | |
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| 0.0305 | 0.42 | 200 | 0.0297 | -1.0902 | -1.6743 | 0.7227 | 0.5842 | -424.7881 | -366.0565 | -2.5649 | -2.5797 | |
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| 0.0258 | 0.63 | 300 | 0.0274 | -1.2031 | -1.8719 | 0.7188 | 0.6688 | -444.5428 | -377.3524 | -2.4247 | -2.4384 | |
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| 0.0234 | 0.84 | 400 | 0.0270 | -1.1958 | -1.8757 | 0.7266 | 0.6799 | -444.9223 | -376.6192 | -2.4111 | -2.4251 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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