|
--- |
|
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: [] |
|
--- |
|
|
|
<!-- 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: 0.5952 |
|
- 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 |
