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openhermes-mistral-dpo-gptq
This model is a fine-tuned version of TheBloke/OpenHermes-2-Mistral-7B-GPTQ on the None dataset. It achieves the following results on the evaluation set:
- Loss: 10.4812
- Rewards/chosen: -34.3483
- Rewards/rejected: -10.5927
- Rewards/accuracies: 0.4375
- Rewards/margins: -23.7556
- Logps/rejected: -369.0945
- Logps/chosen: -652.6519
- Logits/rejected: -1.9434
- Logits/chosen: -2.1850
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: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- training_steps: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.785 | 0.01 | 10 | 0.6767 | 0.0342 | 0.0037 | 0.5625 | 0.0305 | -263.1300 | -308.8264 | -2.4042 | -2.7773 |
| 0.988 | 0.01 | 20 | 0.6634 | 0.1443 | -0.0047 | 0.75 | 0.1490 | -263.2147 | -307.7260 | -2.4189 | -2.7870 |
| 0.9481 | 0.01 | 30 | 10.5125 | -35.0203 | -10.9252 | 0.4375 | -24.0951 | -372.4191 | -659.3712 | -1.9468 | -2.1781 |
| 10.47 | 0.02 | 40 | 17.8422 | -55.0969 | -26.2159 | 0.375 | -28.8810 | -525.3258 | -860.1373 | -1.6618 | -1.8474 |
| 2.5456 | 0.03 | 50 | 10.4812 | -34.3483 | -10.5927 | 0.4375 | -23.7556 | -369.0945 | -652.6519 | -1.9434 | -2.1850 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.6
- Tokenizers 0.14.1
