|
--- |
|
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: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# openhermes-mistral-dpo-gptq |
|
|
|
This model is a fine-tuned version of [TheBloke/OpenHermes-2-Mistral-7B-GPTQ](https://huggingface.co/TheBloke/OpenHermes-2-Mistral-7B-GPTQ) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.6183 |
|
- Rewards/chosen: 0.0311 |
|
- Rewards/rejected: -0.0695 |
|
- Rewards/accuracies: 0.625 |
|
- Rewards/margins: 0.1006 |
|
- Logps/rejected: -143.5769 |
|
- Logps/chosen: -125.5347 |
|
- Logits/rejected: -2.7201 |
|
- Logits/chosen: -2.8454 |
|
|
|
## 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 | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
|
| 0.6852 | 0.01 | 10 | 0.6765 | 0.0305 | 0.0058 | 0.5625 | 0.0247 | -142.8238 | -125.5402 | -2.7089 | -2.8446 | |
|
| 0.7058 | 0.01 | 20 | 0.6604 | 0.0370 | -0.0005 | 0.5625 | 0.0375 | -142.8867 | -125.4757 | -2.7121 | -2.8454 | |
|
| 0.6407 | 0.01 | 30 | 0.6319 | 0.0537 | -0.0265 | 0.6875 | 0.0802 | -143.1462 | -125.3082 | -2.7146 | -2.8457 | |
|
| 0.6445 | 0.02 | 40 | 0.6210 | 0.0345 | -0.0659 | 0.625 | 0.1004 | -143.5407 | -125.5005 | -2.7173 | -2.8463 | |
|
| 0.6847 | 0.03 | 50 | 0.6183 | 0.0311 | -0.0695 | 0.625 | 0.1006 | -143.5769 | -125.5347 | -2.7201 | -2.8454 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.35.2 |
|
- Pytorch 2.0.1+cu117 |
|
- Datasets 2.16.1 |
|
- Tokenizers 0.15.1 |
|
|
