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# mistral-7b-bfloat16-dpo-full

This model is a fine-tuned version of [ghimiresunil/mistral-7b-bfloat16-trainer-full](https://huggingface.co/ghimiresunil/mistral-7b-bfloat16-trainer-full) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000
- Rewards/chosen: 0.1753
- Rewards/rejected: -13.6755
- Rewards/accuracies: 1.0
- Rewards/margins: 13.8507
- Logps/rejected: -283.8056
- Logps/chosen: -297.8054
- Logits/rejected: -2.4650
- Logits/chosen: -2.7869

## 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: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 7
- total_train_batch_size: 28
- total_eval_batch_size: 28
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.0265        | 1.0   | 210  | 0.0000          | -0.2153        | -13.4824         | 1.0                | 13.2671         | -281.8752      | -301.7108    | -2.4639         | -2.7959       |
| 0.0002        | 2.0   | 420  | 0.0001          | 0.1765         | -12.0072         | 1.0                | 12.1837         | -267.1233      | -297.7928    | -2.4774         | -2.7947       |
| 0.0           | 3.0   | 630  | 0.0000          | 0.1753         | -13.6755         | 1.0                | 13.8507         | -283.8056      | -297.8054    | -2.4650         | -2.7869       |


### 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": "ghimiresunil/mistral-7b-bfloat16-trainer-full", "model-index": [{"name": "mistral-7b-bfloat16-dpo-full", "results": []}]}
transformers tensorboard safetensors mistral text-generation generated_from_trainer conversational base_model:ghimiresunil/mistral-7b-bfloat16-trainer-full license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us