tensorboard generated_from_trainer dataset:squad region:us
---
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: llama2-finetuned-squad
  results: []
---

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# llama2-finetuned-squad

This model was trained from scratch on the squad dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1801

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.4105        | 0.96  | 18   | 1.2821          |
| 1.7789        | 1.92  | 36   | 1.2163          |
| 1.7876        | 2.88  | 54   | 1.1932          |
| 1.6394        | 3.84  | 72   | 1.1824          |
| 1.2972        | 4.8   | 90   | 1.1801          |


### Framework versions

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