zephyr-7b-dpo-lora
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5272
- Rewards/chosen: -0.1409
- Rewards/rejected: -0.8819
- Rewards/accuracies: 0.7340
- Rewards/margins: 0.7410
- Logps/rejected: -232.4720
- Logps/chosen: -265.9766
- Logits/rejected: -1.9804
- Logits/chosen: -2.0345
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-07
- train_batch_size: 2
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 32
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.5654 | 1.0 | 968 | 0.5545 | -0.0993 | -0.6333 | 0.7160 | 0.5339 | -229.9861 | -265.5612 | -2.0257 | -2.0790 |
| 0.5587 | 2.0 | 1936 | 0.5326 | -0.1409 | -0.8429 | 0.7295 | 0.7021 | -232.0825 | -265.9764 | -1.9888 | -2.0427 |
| 0.5194 | 3.0 | 2904 | 0.5272 | -0.1409 | -0.8819 | 0.7340 | 0.7410 | -232.4720 | -265.9766 | -1.9804 | -2.0345 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
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Model tree for wenzw/zephyr-7b-dpo-lora
Base model
mistralai/Mistral-7B-v0.1