---
license: apache-2.0
base_model: BioMistral/BioMistral-7B
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
- trl
- dpo
- generated_from_trainer
datasets:
- HuggingFaceH4/ultrafeedback_binarized
model-index:
- name: biomistral-7b-dpo-full-wo-live_qa-ep3
  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-dpo-full-wo-live_qa-ep3

This model is a fine-tuned version of [BioMistral/BioMistral-7B](https://huggingface.co/BioMistral/BioMistral-7B) on the HuggingFaceH4/ultrafeedback_binarized dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5347
- Rewards/chosen: -0.8760
- Rewards/rejected: -1.7973
- Rewards/accuracies: 0.6528
- Rewards/margins: 0.9213
- Logps/rejected: -374.4584
- Logps/chosen: -385.7039
- Logits/rejected: 1.0068
- Logits/chosen: -1.3925

## 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: 5e-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 |
|:-------------:|:-----:|:----:|:-------------:|:---------------:|:------------:|:--------------:|:---------------:|:------------------:|:--------------:|:---------------:|:----------------:|
| 0.3672        | 0.33  | 100  | -1.7892       | 0.0124          | -325.3138    | -259.1306      | 0.5652          | 0.75               | -0.2721        | 0.3720          | -0.6441          |
| 0.2495        | 0.65  | 200  | -1.4424       | 0.8731          | -366.8614    | -347.8152      | 0.5144          | 0.7153             | -0.6876        | 0.8433          | -1.5309          |
| 0.1708        | 0.98  | 300  | -1.3915       | 1.0056          | -385.5208    | -374.2370      | 0.5345          | 0.6528             | -0.8742        | 0.9209          | -1.7951          |


### Framework versions

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