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: 0.1934
- Rewards/chosen: 1.5646
- Rewards/rejected: -0.8402
- Rewards/accuracies: 1.0
- Rewards/margins: 2.4048
- Logps/rejected: -45.4271
- Logps/chosen: -277.5632
- Logits/rejected: -1.3185
- Logits/chosen: -2.0273
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6717 | 0.01 | 10 | 0.5892 | 0.1318 | -0.0930 | 0.75 | 0.2248 | -37.9552 | -291.8918 | -1.2049 | -2.0262 |
| 0.5298 | 0.02 | 20 | 0.3756 | 0.6965 | -0.3112 | 1.0 | 1.0078 | -40.1375 | -286.2441 | -1.2959 | -2.0576 |
| 0.3325 | 0.03 | 30 | 0.2663 | 1.1580 | -0.4907 | 1.0 | 1.6486 | -41.9316 | -281.6295 | -1.3242 | -2.0582 |
| 0.2179 | 0.04 | 40 | 0.2153 | 1.4040 | -0.7133 | 1.0 | 2.1173 | -44.1586 | -279.1697 | -1.3211 | -2.0374 |
| 0.1683 | 0.06 | 50 | 0.1934 | 1.5646 | -0.8402 | 1.0 | 2.4048 | -45.4271 | -277.5632 | -1.3185 | -2.0273 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.0.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.0