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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: 0.5874
- Rewards/chosen: 0.0339
- Rewards/rejected: -0.3006
- Rewards/accuracies: 0.6920
- Rewards/margins: 0.3345
- Logps/rejected: -220.4644
- Logps/chosen: -263.6834
- Logits/rejected: -2.2601
- Logits/chosen: -2.3604

## 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: 32
- total_train_batch_size: 256
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6259        | 1.0   | 242  | 0.6261          | 0.0706         | -0.0990          | 0.6700             | 0.1696          | -218.4478      | -263.3158    | -2.2669         | -2.3669       |
| 0.5991        | 2.0   | 484  | 0.5946          | 0.0494         | -0.2508          | 0.6780             | 0.3002          | -219.9661      | -263.5286    | -2.2620         | -2.3623       |
| 0.5852        | 3.0   | 726  | 0.5874          | 0.0339         | -0.3006          | 0.6920             | 0.3345          | -220.4644      | -263.6834    | -2.2601         | -2.3604       |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.1+cu121
- 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": []}]}
tensorboard safetensors generated_from_trainer base_model:mistralai/Mistral-7B-v0.1 license:apache-2.0 region:us