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: test2
results: []
test2
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: 0.2724
- Rewards/chosen: 0.0617
- Rewards/rejected: -1.6629
- Rewards/accuracies: 1.0
- Rewards/margins: 1.7245
- Logps/rejected: -396.0331
- Logps/chosen: -110.0373
- Logits/rejected: -3.2686
- Logits/chosen: -3.3982
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: 20
- 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6305 | 0.01 | 10 | 0.4258 | 0.0681 | -0.7348 | 1.0 | 0.8029 | -386.7522 | -109.9732 | -3.2678 | -3.4032 |
| 0.3418 | 0.02 | 20 | 0.2724 | 0.0617 | -1.6629 | 1.0 | 1.7245 | -396.0331 | -110.0373 | -3.2686 | -3.3982 |
Framework versions
- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2