metadata
license: apache-2.0
base_model: TheBloke/OpenHermes-2-Mistral-7B-GPTQ
tags:
- 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: 1.6114
- Rewards/chosen: -2.4430
- Rewards/rejected: -1.9061
- Rewards/accuracies: 0.6875
- Rewards/margins: -0.5369
- Logps/rejected: -480.5268
- Logps/chosen: -519.2752
- Logits/rejected: -2.5308
- Logits/chosen: -2.6586
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.7579 | 0.01 | 10 | 0.6551 | 0.1429 | 0.0811 | 0.625 | 0.0618 | -460.6556 | -493.4166 | -2.4845 | -2.6464 |
| 0.7842 | 0.01 | 20 | 0.6336 | 0.2270 | 0.1016 | 0.875 | 0.1254 | -460.4503 | -492.5753 | -2.5075 | -2.6588 |
| 1.224 | 0.01 | 30 | 1.4870 | -2.1416 | -1.6612 | 0.75 | -0.4804 | -478.0778 | -516.2612 | -2.5269 | -2.6581 |
| 9.9606 | 0.02 | 40 | 19.8907 | -23.9174 | -11.8255 | 0.5625 | -12.0919 | -579.7216 | -734.0198 | -2.2514 | -2.3830 |
| 2.3399 | 0.03 | 50 | 1.6114 | -2.4430 | -1.9061 | 0.6875 | -0.5369 | -480.5268 | -519.2752 | -2.5308 | -2.6586 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.6
- Tokenizers 0.14.1