---
license: apache-2.0
base_model: mistralai/Mistral-7B-Instruct-v0.2
tags:
- alignment-handbook
- generated_from_trainer
- trl
- dpo
- generated_from_trainer
datasets:
- snorkelai/Snorkel-Mistral-PairRM-DPO-Dataset
model-index:
- name: selective-pairrm-33045197-mt0
  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. -->

# selective-pairrm-33045197-mt0

This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the snorkelai/Snorkel-Mistral-PairRM-DPO-Dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6825
- Rewards/chosen: -0.2329
- Rewards/rejected: -0.2692
- Rewards/accuracies: 0.6055
- Rewards/margins: 0.0362
- Logps/rejected: -417.6746
- Logps/chosen: -401.4102
- Logits/rejected: -3.1643
- Logits/chosen: -3.1708

## 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: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- 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 | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6786        | 0.32  | 100  | 0.6868          | -0.0869        | -0.1015          | 0.5547             | 0.0146          | -400.9028      | -386.8027    | -2.8786         | -2.8855       |
| 0.6615        | 0.64  | 200  | 0.6828          | -0.1851        | -0.2144          | 0.5938             | 0.0294          | -412.2021      | -396.6207    | -3.0607         | -3.0672       |
| 0.6539        | 0.96  | 300  | 0.6821          | -0.2322        | -0.2693          | 0.6055             | 0.0371          | -417.6892      | -401.3395    | -3.1645         | -3.1709       |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.14.6
- Tokenizers 0.15.0