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# v3

This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ) on the [hieunguyenminh/roleplay](hieunguyenminh/roleplay) dataset.

## Model description

This model can adapt to any type of characters and provide answer that personalize that character.

## Training and evaluation data

It is trained with supervised learning and will be trained with DPO in the future.

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- training_steps: 400
- mixed_precision_training: Native AMP

### Training results

Loss after 400 steps: 0.73

### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
{"license": "apache-2.0", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["hieunguyenminh/roleplay"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.2-GPTQ", "model-index": [{"name": "v3", "results": []}]}
transformers tensorboard safetensors mistral text-generation trl sft generated_from_trainer conversational dataset:hieunguyenminh/roleplay base_model:TheBloke/Mistral-7B-Instruct-v0.2-GPTQ license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference 4-bit region:us