---
license: apache-2.0
base_model: alignment-handbook/mistral-7b-sft-constitutional-ai
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
- trl
- dpo
- generated_from_trainer
datasets:
- HuggingFaceH4/ultrafeedback_binarized
- HuggingFaceH4/cai-conversation-harmless
model-index:
- name: mistral-7b-dpo-constitutional-ai
  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-7b-dpo-constitutional-ai

This model is a fine-tuned version of [alignment-handbook/mistral-7b-sft-constitutional-ai](https://huggingface.co/alignment-handbook/mistral-7b-sft-constitutional-ai) on the HuggingFaceH4/ultrafeedback_binarized and the HuggingFaceH4/cai-conversation-harmless datasets.
It achieves the following results on the evaluation set:
- Loss: 0.6064
- Rewards/chosen: -6.2332
- Rewards/rejected: -9.9320
- Rewards/accuracies: 0.6825
- Rewards/margins: 3.6988
- Logps/rejected: -269.0856
- Logps/chosen: -253.0284
- Logits/rejected: -2.8561
- Logits/chosen: -2.8752

## 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: 2
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 16
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.0884        | 1.94  | 1000 | 0.5467          | -3.4828        | -6.0365          | 0.7025             | 2.5536          | -230.1307      | -225.5250    | -2.9599         | -2.9763       |


### Framework versions

- Transformers 4.39.0.dev0
- Pytorch 2.1.0a0+32f93b1
- Datasets 2.14.6
- Tokenizers 0.15.2