doplhin-mistral-dpo-ultrafeedback-binarized-preferences-hinge
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: 0.5904
- Rewards/chosen: -3.5980
- Rewards/rejected: -6.3560
- Rewards/accuracies: 0.7954
- Rewards/margins: 2.7581
- Logps/rejected: -378.3953
- Logps/chosen: -389.8724
- Logits/rejected: -2.4206
- Logits/chosen: -2.4999
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: 4
- eval_batch_size: 4
- 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.9205 | 0.25 | 700 | 0.7331 | -4.0569 | -6.3048 | 0.7489 | 2.2478 | -377.8824 | -394.4619 | -2.5742 | -2.6507 |
| 0.6493 | 0.51 | 1400 | 0.6532 | -4.0240 | -7.1929 | 0.7889 | 3.1689 | -386.7637 | -394.1322 | -2.4562 | -2.5463 |
| 0.663 | 0.76 | 2100 | 0.5904 | -3.5980 | -6.3560 | 0.7954 | 2.7581 | -378.3953 | -389.8724 | -2.4206 | -2.4999 |
Framework versions
- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.2
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Model tree for DrishtiSharma/doplhin-mistral-dpo-ultrafeedback-binarized-preferences-hinge
Base model
cognitivecomputations/dolphin-2.1-mistral-7b