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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: 0.7095
- Rewards/chosen: -0.1860
- Rewards/rejected: -0.3362
- Rewards/accuracies: 0.4904
- Rewards/margins: 0.1502
- Logps/rejected: -269.4139
- Logps/chosen: -269.0661
- Logits/rejected: -2.0876
- Logits/chosen: -2.1662
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
- 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6952 | 0.0002 | 10 | 0.6717 | 0.1018 | 0.0250 | 0.5769 | 0.0769 | -265.8023 | -266.1874 | -2.1074 | -2.1866 |
| 0.7473 | 0.0003 | 20 | 0.6787 | 0.0390 | -0.0403 | 0.5192 | 0.0793 | -266.4547 | -266.8159 | -2.1064 | -2.1840 |
| 0.6557 | 0.0005 | 30 | 0.7320 | -0.2017 | -0.2789 | 0.4904 | 0.0772 | -268.8405 | -269.2226 | -2.0938 | -2.1716 |
| 0.8058 | 0.0007 | 40 | 0.7174 | -0.2018 | -0.3209 | 0.4808 | 0.1192 | -269.2612 | -269.2236 | -2.0878 | -2.1663 |
| 0.5939 | 0.0009 | 50 | 0.7095 | -0.1860 | -0.3362 | 0.4904 | 0.1502 | -269.4139 | -269.0661 | -2.0876 | -2.1662 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.0.1+cu117
- Datasets 2.19.2
- Tokenizers 0.19.1
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Model tree for haidermasood99/openhermes-mistral-dpo-gptq
Base model
mistralai/Mistral-7B-v0.1
Finetuned
teknium/OpenHermes-2-Mistral-7B
Quantized
TheBloke/OpenHermes-2-Mistral-7B-GPTQ