doplhin-dpo
This model is a fine-tuned version of cognitivecomputations/dolphin-2.1-mistral-7b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0809
- Rewards/chosen: -22.5048
- Rewards/rejected: -33.0285
- Rewards/accuracies: 0.8076
- Rewards/margins: 10.5237
- Logps/rejected: -629.7220
- Logps/chosen: -567.8747
- Logits/rejected: -2.5481
- Logits/chosen: -2.5972
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-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 3.7986 | 0.13 | 700 | 2.1962 | -19.2854 | -23.2541 | 0.6680 | 3.9687 | -531.9778 | -535.6807 | -2.6393 | -2.7332 |
| 1.3794 | 0.25 | 1400 | 1.5931 | -24.2833 | -32.1549 | 0.7393 | 7.8716 | -620.9865 | -585.6600 | -2.4941 | -2.6078 |
| 1.7768 | 0.38 | 2100 | 1.2640 | -24.9513 | -33.2837 | 0.7618 | 8.3324 | -632.2739 | -592.3398 | -1.5676 | -1.9552 |
| 1.0764 | 0.51 | 2800 | 1.1802 | -24.8340 | -32.7263 | 0.7807 | 7.8923 | -626.7006 | -591.1669 | -2.2188 | -2.3807 |
| 1.1698 | 0.64 | 3500 | 1.1290 | -17.1234 | -26.7346 | 0.7982 | 9.6112 | -566.7830 | -514.0612 | -2.6586 | -2.7169 |
| 1.1884 | 0.76 | 4200 | 1.0909 | -23.1635 | -33.5559 | 0.8044 | 10.3924 | -634.9959 | -574.4622 | -2.5670 | -2.6170 |
| 0.6424 | 0.89 | 4900 | 1.0809 | -22.5048 | -33.0285 | 0.8076 | 10.5237 | -629.7220 | -567.8747 | -2.5481 | -2.5972 |
Framework versions
- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.2.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.2