metadata
license: apache-2.0
library_name: peft
tags:
- trl
- dpo
- generated_from_trainer
base_model: TheBloke/OpenHermes-2-Mistral-7B-GPTQ
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: 0.0323
- Rewards/chosen: -1.0831
- Rewards/rejected: -9.5400
- Rewards/accuracies: 1.0
- Rewards/margins: 8.4569
- Logps/rejected: -319.0484
- Logps/chosen: -82.1537
- Logits/rejected: -2.6023
- Logits/chosen: -2.2419
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.556 | 0.0 | 10 | 0.4270 | 0.0181 | -0.6933 | 1.0 | 0.7114 | -230.5818 | -71.1419 | -2.6557 | -2.3264 |
| 0.3645 | 0.0 | 20 | 0.1583 | 0.1759 | -2.5866 | 1.0 | 2.7625 | -249.5149 | -69.5636 | -2.6400 | -2.3441 |
| 0.2037 | 0.0 | 30 | 0.0681 | 0.0985 | -5.0474 | 1.0 | 5.1459 | -274.1230 | -70.3379 | -2.6245 | -2.3228 |
| 0.0315 | 0.0 | 40 | 0.0431 | -0.9146 | -8.5841 | 1.0 | 7.6695 | -309.4896 | -80.4684 | -2.6094 | -2.3791 |
| 0.0655 | 0.0 | 50 | 0.0323 | -1.0831 | -9.5400 | 1.0 | 8.4569 | -319.0484 | -82.1537 | -2.6023 | -2.2419 |
Framework versions
- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.0.1+cu117
- Datasets 2.18.0
- Tokenizers 0.15.2