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# llama_lora_test

This model is a fine-tuned version of [huggyllama/llama-7b](https://huggingface.co/huggyllama/llama-7b) on the None 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: 0.0001
- 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: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3.0

### Training results



### Framework versions

- Transformers 4.33.0
- Pytorch 2.1.0a0+gitf8b6084
- Datasets 2.15.0
- Tokenizers 0.13.3

{"license": "other", "tags": ["generated_from_trainer"], "base_model": "huggyllama/llama-7b", "model-index": [{"name": "llama_lora_test", "results": []}]}
optimum_habana generated_from_trainer base_model:huggyllama/llama-7b license:other region:us