---
license: apache-2.0
base_model: Minbyul/biomistral-7b-wo-kqa_golden-iter-dpo-step2
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
- trl
- dpo
- generated_from_trainer
datasets:
- HuggingFaceH4/ultrafeedback_binarized
model-index:
- name: biomistral-7b-wo-kqa_golden-iter-dpo-step3
  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. -->

# biomistral-7b-wo-kqa_golden-iter-dpo-step3

This model is a fine-tuned version of [Minbyul/biomistral-7b-wo-kqa_golden-iter-dpo-step2](https://huggingface.co/Minbyul/biomistral-7b-wo-kqa_golden-iter-dpo-step2) on the HuggingFaceH4/ultrafeedback_binarized dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6829
- Rewards/chosen: -0.0502
- Rewards/rejected: -0.0800
- Rewards/accuracies: 0.6300
- Rewards/margins: 0.0298
- Logps/rejected: -60.1185
- Logps/chosen: -40.1264
- Logits/rejected: -1.5228
- Logits/chosen: -0.8710

## 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: 1e-07
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Logits/chosen | Logits/rejected | Logps/chosen | Logps/rejected | Validation Loss | Rewards/accuracies | Rewards/chosen | Rewards/margins | Rewards/rejected |
|:-------------:|:-----:|:----:|:-------------:|:---------------:|:------------:|:--------------:|:---------------:|:------------------:|:--------------:|:---------------:|:----------------:|
| 0.6794        | 0.37  | 100  | -0.8266       | -1.4757         | -35.5860     | -53.0765       | 0.6906          | 0.5900             | -0.0048        | 0.0048          | -0.0096          |
| 0.6555        | 0.74  | 200  | -0.8589       | -1.5130         | -39.0432     | -58.7210       | 0.6837          | 0.6400             | -0.0394        | 0.0267          | -0.0661          |


### Framework versions

- Transformers 4.39.0.dev0
- Pytorch 2.1.2
- Datasets 2.14.6
- Tokenizers 0.15.2