|
--- |
|
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: 0.6697 |
|
- Rewards/chosen: 0.0061 |
|
- Rewards/rejected: -0.0288 |
|
- Rewards/accuracies: 0.625 |
|
- Rewards/margins: 0.0350 |
|
- Logps/rejected: -127.8806 |
|
- Logps/chosen: -193.3892 |
|
- Logits/rejected: -2.4394 |
|
- Logits/chosen: -2.6044 |
|
|
|
## 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 | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
|
| 0.6762 | 0.01 | 10 | 0.6833 | -0.0083 | -0.0216 | 0.625 | 0.0133 | -127.8089 | -193.5340 | -2.4411 | -2.6076 | |
|
| 0.7039 | 0.01 | 20 | 0.6697 | 0.0061 | -0.0288 | 0.625 | 0.0350 | -127.8806 | -193.3892 | -2.4394 | -2.6044 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.9.0 |
|
- Transformers 4.38.2 |
|
- Pytorch 2.2.1+cu121 |
|
- Datasets 2.18.0 |
|
- Tokenizers 0.15.2 |
