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# lora-alpaca

This model is a fine-tuned version of [beomi/KoAlpaca-llama-1-7b](https://huggingface.co/beomi/KoAlpaca-llama-1-7b) on an unknown 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: 0.0003
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 5

### Training results



### Framework versions

- Transformers 4.34.1
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.14.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "beomi/KoAlpaca-llama-1-7b", "model-index": [{"name": "lora-alpaca", "results": []}]}
generated_from_trainer base_model:beomi/KoAlpaca-llama-1-7b license:apache-2.0 region:us