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# llama2-finetuned-squad-hf-2

This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on the squad dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1759

## 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: 2e-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
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.4102        | 0.96  | 18   | 1.2801          |
| 1.7776        | 1.92  | 36   | 1.2137          |
| 1.7838        | 2.88  | 54   | 1.1908          |
| 1.6322        | 3.84  | 72   | 1.1784          |
| 1.2947        | 4.8   | 90   | 1.1759          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3

{"tags": ["generated_from_trainer"], "datasets": ["squad"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "llama2-finetuned-squad-hf-2", "results": []}]}
tensorboard generated_from_trainer dataset:squad base_model:meta-llama/Llama-2-7b-chat-hf region:us