metadata
license: apache-2.0
base_model: TheBloke/OpenHermes-2-Mistral-7B-GPTQ
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: openhermes-mistral-dpo-gptq
results: []
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: 0.6599
- Rewards/chosen: 0.0397
- Rewards/rejected: -0.0752
- Rewards/accuracies: 0.9375
- Rewards/margins: 0.1149
- Logps/rejected: -164.5962
- Logps/chosen: -292.6904
- Logits/rejected: -2.6901
- Logits/chosen: -2.3670
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6819 | 0.01 | 10 | 0.6600 | 0.0491 | -0.0050 | 1.0 | 0.0540 | -163.8940 | -292.5971 | -2.6930 | -2.3675 |
| 0.7106 | 0.01 | 20 | 0.6787 | 0.0460 | 0.0162 | 0.5625 | 0.0298 | -163.6827 | -292.6277 | -2.6971 | -2.3713 |
| 0.6487 | 0.01 | 30 | 0.6889 | 0.0454 | -0.0002 | 0.8125 | 0.0456 | -163.8460 | -292.6334 | -2.6960 | -2.3700 |
| 0.5981 | 0.02 | 40 | 0.6718 | 0.0307 | -0.0583 | 0.9375 | 0.0890 | -164.4272 | -292.7806 | -2.6928 | -2.3685 |
| 0.6573 | 0.03 | 50 | 0.6599 | 0.0397 | -0.0752 | 0.9375 | 0.1149 | -164.5962 | -292.6904 | -2.6901 | -2.3670 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.0.1+cu117
- Datasets 2.17.0
- Tokenizers 0.15.1