---
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
- trl
- orpo
- generated_from_trainer
model-index:
- name: mistral-orpo-mix-beta
  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. -->

# mistral-orpo-mix-beta

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2152
- Rewards/chosen: -0.1113
- Rewards/rejected: -0.1461
- Rewards/accuracies: 0.6562
- Rewards/margins: 0.0348
- Logps/rejected: -1.4607
- Logps/chosen: -1.1130
- Logits/rejected: -2.4201
- Logits/chosen: -2.4178
- Nll Loss: 1.1711
- Log Odds Ratio: -0.6108
- Log Odds Chosen: 0.5395

## 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-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: inverse_sqrt
- lr_scheduler_warmup_ratio: 0.1
- lr_scheduler_warmup_steps: 100
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | Nll Loss | Log Odds Ratio | Log Odds Chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|:--------------:|:---------------:|
| 0.9961        | 1.0   | 211  | 0.9199          | -0.0831        | -0.1055          | 0.6302             | 0.0224          | -1.0547        | -0.8311      | -2.3542         | -2.3590       | 0.8774   | -0.6294        | 0.3896          |
| 0.4999        | 2.0   | 422  | 0.9813          | -0.0894        | -0.1184          | 0.6615             | 0.0290          | -1.1836        | -0.8937      | -2.5184         | -2.5177       | 0.9404   | -0.6012        | 0.4994          |
| 0.1899        | 3.0   | 633  | 1.2152          | -0.1113        | -0.1461          | 0.6562             | 0.0348          | -1.4607        | -1.1130      | -2.4201         | -2.4178       | 1.1711   | -0.6108        | 0.5395          |


### Framework versions

- Transformers 4.39.0
- Pytorch 2.1.1+cu121
- Datasets 2.16.1
- Tokenizers 0.15.2