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# v1

This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the pubmed-dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7454

## 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: 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
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.7589        | 0.41  | 13   | 1.8658          |
| 1.7301        | 0.82  | 26   | 1.7849          |
| 1.709         | 1.23  | 39   | 1.7513          |
| 1.6289        | 1.64  | 52   | 1.7454          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0

{"tags": ["generated_from_trainer"], "datasets": ["pubmed-dataset"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "v1", "results": []}]}
tensorboard safetensors generated_from_trainer dataset:pubmed-dataset base_model:meta-llama/Llama-2-7b-hf region:us