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--- |
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license: other |
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base_model: HuggingFaceH4/zephyr-7b-gemma-sft-v0.1 |
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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-gemma-dpo |
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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-gemma-dpo |
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This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-gemma-sft-v0.1](https://huggingface.co/HuggingFaceH4/zephyr-7b-gemma-sft-v0.1) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4446 |
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- Rewards/chosen: -1.7969 |
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- Rewards/rejected: -3.6406 |
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- Rewards/accuracies: 0.7447 |
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- Rewards/margins: 1.8359 |
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- Logps/rejected: -480.0 |
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- Logps/chosen: -388.0 |
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- Logits/rejected: 84.0 |
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- Logits/chosen: 82.0 |
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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: 2 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 64 |
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- total_eval_batch_size: 16 |
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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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- lr_scheduler_warmup_steps: 100 |
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- num_epochs: 2 |
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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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| 0.5324 | 0.95 | 100 | 0.4852 | -1.1641 | -2.4688 | 0.7340 | 1.3047 | -456.0 | -376.0 | 94.0 | 92.0 | |
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| 0.1822 | 1.9 | 200 | 0.4446 | -1.7969 | -3.6406 | 0.7447 | 1.8359 | -480.0 | -388.0 | 84.0 | 82.0 | |
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### Framework versions |
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- Transformers 4.38.0 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.2 |
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