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: 0.6796
- Rewards/chosen: 0.0825
- Rewards/rejected: 0.0991
- Rewards/accuracies: 0.375
- Rewards/margins: -0.0166
- Logps/rejected: -111.4488
- Logps/chosen: -104.0037
- Logits/rejected: -1.8100
- Logits/chosen: -1.8966
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: 40
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6782 | 0.01 | 10 | 0.6854 | 0.0505 | 0.0332 | 0.5625 | 0.0173 | -112.1082 | -104.3235 | -1.7988 | -1.8929 |
| 0.7064 | 0.01 | 20 | 0.6812 | 0.0509 | 0.0279 | 0.8125 | 0.0230 | -112.1610 | -104.3192 | -1.8032 | -1.8968 |
| 0.7024 | 0.01 | 30 | 0.6820 | 0.0697 | 0.0728 | 0.375 | -0.0031 | -111.7118 | -104.1311 | -1.8068 | -1.8953 |
| 0.6946 | 0.02 | 40 | 0.6796 | 0.0825 | 0.0991 | 0.375 | -0.0166 | -111.4488 | -104.0037 | -1.8100 | -1.8966 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.0.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.0
Model tree for adhi29/openhermes-mistral-dpo-gptq
Base model
mistralai/Mistral-7B-v0.1
Finetuned
teknium/OpenHermes-2-Mistral-7B
Quantized
TheBloke/OpenHermes-2-Mistral-7B-GPTQ