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--- |
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base_model: HuggingFaceH4/zephyr-7b-gemma-sft-v0.1 |
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datasets: |
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- argilla/dpo-mix-7k |
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- RedaAlami/PKU-SafeRLHF-Processed |
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library_name: peft |
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license: other |
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tags: |
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- alignment-handbook |
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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-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-7b-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 the argilla/dpo-mix-7k and the RedaAlami/PKU-SafeRLHF-Processed datasets. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6478 |
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- Rewards/chosen: -0.3452 |
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- Rewards/rejected: -0.5788 |
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- Rewards/accuracies: 0.6169 |
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- Rewards/margins: 0.2336 |
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- Logps/rejected: -334.5554 |
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- Logps/chosen: -295.9647 |
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- Logits/rejected: 436.0139 |
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- Logits/chosen: 452.6414 |
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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: 8 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 128 |
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- total_eval_batch_size: 32 |
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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: 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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| 0.7052 | 0.2602 | 100 | 0.7032 | 0.1828 | 0.1374 | 0.5148 | 0.0454 | -320.2303 | -285.4035 | 437.8931 | 454.4476 | |
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| 0.6851 | 0.5205 | 200 | 0.6794 | 0.1534 | 0.0240 | 0.5991 | 0.1294 | -322.4987 | -285.9917 | 436.5674 | 453.2177 | |
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| 0.6545 | 0.7807 | 300 | 0.6632 | -0.0335 | -0.2290 | 0.5962 | 0.1955 | -327.5587 | -289.7299 | 435.9517 | 452.6035 | |
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| 0.6428 | 1.0410 | 400 | 0.6532 | -0.3583 | -0.5844 | 0.6154 | 0.2261 | -334.6671 | -296.2265 | 436.0371 | 452.6768 | |
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| 0.6366 | 1.3012 | 500 | 0.6521 | -0.3063 | -0.5602 | 0.6124 | 0.2539 | -334.1831 | -295.1856 | 436.1843 | 452.8112 | |
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| 0.6058 | 1.5615 | 600 | 0.6497 | -0.3389 | -0.5751 | 0.6139 | 0.2362 | -334.4804 | -295.8380 | 436.0276 | 452.6521 | |
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| 0.6368 | 1.8217 | 700 | 0.6449 | -0.3403 | -0.5854 | 0.6065 | 0.2451 | -334.6864 | -295.8665 | 436.0117 | 452.6395 | |
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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 |
