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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: 0.5264
- Rewards/chosen: -0.1584
- Rewards/rejected: -0.9037
- Rewards/accuracies: 0.7355
- Rewards/margins: 0.7453
- Logps/rejected: -232.7093
- Logps/chosen: -266.1443
- Logits/rejected: -1.9662
- Logits/chosen: -2.0205

## 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
- gradient_accumulation_steps: 32
- total_train_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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5646        | 1.0   | 968  | 0.5553          | -0.1119        | -0.6463          | 0.7135             | 0.5343          | -230.1351      | -265.6801    | -2.0158         | -2.0692       |
| 0.5571        | 2.0   | 1936 | 0.5317          | -0.1579        | -0.8657          | 0.7335             | 0.7078          | -232.3292      | -266.1393    | -1.9754         | -2.0295       |
| 0.5173        | 3.0   | 2904 | 0.5264          | -0.1584        | -0.9037          | 0.7355             | 0.7453          | -232.7093      | -266.1443    | -1.9662         | -2.0205       |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.1+cu118
- 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 tensorboard 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