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# zephyr-7b-dpo-lora

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: 0.5256
- Rewards/chosen: -0.1539
- Rewards/rejected: -0.9025
- Rewards/accuracies: 0.7420
- Rewards/margins: 0.7486
- Logps/rejected: -228.3078
- Logps/chosen: -266.1707
- Logits/rejected: -1.9406
- Logits/chosen: -2.0654

## 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: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- total_eval_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5516        | 1.0   | 968  | 0.5547          | -0.1140        | -0.6431          | 0.7160             | 0.5291          | -225.7137      | -265.7718    | -1.9903         | -2.1116       |
| 0.5443        | 2.0   | 1936 | 0.5307          | -0.1506        | -0.8643          | 0.7420             | 0.7136          | -227.9256      | -266.1383    | -1.9496         | -2.0740       |
| 0.5439        | 3.0   | 2904 | 0.5256          | -0.1539        | -0.9025          | 0.7420             | 0.7486          | -228.3078      | -266.1707    | -1.9406         | -2.0654       |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.0.1
- Datasets 2.14.6
- Tokenizers 0.14.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "zephyr-7b-dpo-lora", "results": []}]}
transformers safetensors mistral text-generation generated_from_trainer conversational base_model:mistralai/Mistral-7B-v0.1 license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us