|
--- |
|
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: [] |
|
--- |
|
|
|
<!-- 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: 0.6864 |
|
- Rewards/chosen: -0.0176 |
|
- Rewards/rejected: -0.0077 |
|
- Rewards/accuracies: 0.3125 |
|
- Rewards/margins: -0.0098 |
|
- Logps/rejected: -168.4619 |
|
- Logps/chosen: -127.7056 |
|
- Logits/rejected: -2.4072 |
|
- Logits/chosen: -2.3077 |
|
|
|
## 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 | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
|
| 0.6768 | 0.005 | 10 | 0.6965 | 0.0206 | -0.0070 | 0.5625 | 0.0276 | -168.4548 | -127.3242 | -2.4001 | -2.3165 | |
|
| 0.7062 | 0.01 | 20 | 0.7131 | 0.0043 | 0.0421 | 0.25 | -0.0378 | -167.9636 | -127.4874 | -2.4078 | -2.3156 | |
|
| 0.7526 | 0.015 | 30 | 0.7101 | -0.0048 | 0.0478 | 0.125 | -0.0526 | -167.9063 | -127.5779 | -2.4088 | -2.3121 | |
|
| 0.6946 | 0.02 | 40 | 0.7003 | -0.0144 | 0.0180 | 0.1875 | -0.0324 | -168.2044 | -127.6736 | -2.4087 | -2.3099 | |
|
| 0.6728 | 0.025 | 50 | 0.6864 | -0.0176 | -0.0077 | 0.3125 | -0.0098 | -168.4619 | -127.7056 | -2.4072 | -2.3077 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.11.1 |
|
- Transformers 4.41.1 |
|
- Pytorch 2.0.1+cu117 |
|
- Datasets 2.19.1 |
|
- Tokenizers 0.19.1 |
