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: 0.7106
- Rewards/chosen: -0.0309
- Rewards/rejected: -0.0145
- Rewards/accuracies: 0.4375
- Rewards/margins: -0.0164
- Logps/rejected: -200.0436
- Logps/chosen: -156.7882
- Logits/rejected: -2.6163
- Logits/chosen: -2.6691
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.684 | 0.01 | 10 | 0.7086 | -0.0352 | -0.0042 | 0.4375 | -0.0310 | -199.9411 | -156.8310 | -2.6026 | -2.6661 |
| 0.71 | 0.01 | 20 | 0.7081 | -0.0095 | 0.0133 | 0.125 | -0.0228 | -199.7660 | -156.5740 | -2.6117 | -2.6719 |
| 0.6479 | 0.01 | 30 | 0.7104 | -0.0099 | 0.0071 | 0.375 | -0.0171 | -199.8277 | -156.5786 | -2.6162 | -2.6706 |
| 0.6523 | 0.02 | 40 | 0.7093 | -0.0276 | -0.0128 | 0.4375 | -0.0148 | -200.0267 | -156.7554 | -2.6165 | -2.6692 |
| 0.6697 | 0.03 | 50 | 0.7106 | -0.0309 | -0.0145 | 0.4375 | -0.0164 | -200.0436 | -156.7882 | -2.6163 | -2.6691 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.0.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.1