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: 1.2468

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.4238        | 1.0   | 2    | 1.2661          |
| 2.3387        | 2.0   | 4    | 1.2568          |
| 2.1817        | 3.0   | 6    | 1.2504          |
| 2.122         | 4.0   | 8    | 1.2467          |
| 2.1925        | 5.0   | 10   | 1.2468          |


### Framework versions

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