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# train_2024-02-16-12-09-1733333

This model is a fine-tuned version of [NeuralNovel/Tiger-7B-v0.1](https://huggingface.co/NeuralNovel/Tiger-7B-v0.1) on the Neural-DPO dataset.

## 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-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1.0

### Training results



### Framework versions

- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
{"license": "other", "library_name": "peft", "tags": ["llama-factory", "lora", "generated_from_trainer"], "base_model": "NeuralNovel/Tiger-7B-v0.1", "model-index": [{"name": "train_2024-02-16-12-09-1733333", "results": []}]}
peft safetensors llama-factory lora generated_from_trainer base_model:NeuralNovel/Tiger-7B-v0.1 license:other region:us