metadata
license: apache-2.0
base_model: TheBloke/OpenHermes-2-Mistral-7B-GPTQ
pipeline_tag: text-generation
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: 0.5952
- Rewards/chosen: 0.1959
- Rewards/rejected: -0.1959
- Rewards/accuracies: 0.8125
- Rewards/margins: 0.3918
- Logps/rejected: -225.0688
- Logps/chosen: -260.4842
- Logits/rejected: -2.6980
- Logits/chosen: -2.6353
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 |
---|---|---|---|---|---|---|---|---|---|---|---|
0.6829 | 0.01 | 10 | 0.6352 | 0.0696 | -0.0459 | 0.5625 | 0.1156 | -223.5694 | -261.7468 | -2.6848 | -2.6255 |
0.7018 | 0.01 | 20 | 0.6071 | 0.1534 | -0.1323 | 0.5625 | 0.2857 | -224.4329 | -260.9089 | -2.6932 | -2.6321 |
0.6391 | 0.01 | 30 | 0.5922 | 0.2186 | -0.1600 | 0.8125 | 0.3787 | -224.7106 | -260.2570 | -2.6988 | -2.6359 |
0.5993 | 0.02 | 40 | 0.5937 | 0.1966 | -0.1896 | 0.8125 | 0.3861 | -225.0059 | -260.4774 | -2.6987 | -2.6355 |
0.6781 | 0.03 | 50 | 0.5952 | 0.1959 | -0.1959 | 0.8125 | 0.3918 | -225.0688 | -260.4842 | -2.6980 | -2.6353 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.0.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.0