---
tags:
- generated_from_trainer
model-index:
- name: baseline
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# baseline

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6800
- Exact Match: 0.165

## 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: 0.001
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Exact Match |
|:-------------:|:-----:|:----:|:---------------:|:-----------:|
| 2.1419        | 1.0   | 313  | 1.3197          | 0.01        |
| 1.1804        | 2.0   | 626  | 1.0833          | 0.023       |
| 0.8888        | 3.0   | 939  | 0.9529          | 0.062       |
| 0.7167        | 4.0   | 1252 | 0.9488          | 0.052       |
| 0.5985        | 5.0   | 1565 | 0.8626          | 0.09        |
| 0.514         | 6.0   | 1878 | 0.7982          | 0.115       |
| 0.439         | 7.0   | 2191 | 0.7420          | 0.144       |
| 0.3851        | 8.0   | 2504 | 0.6876          | 0.15        |
| 0.3434        | 9.0   | 2817 | 0.6794          | 0.178       |
| 0.3174        | 10.0  | 3130 | 0.6800          | 0.165       |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Tokenizers 0.15.0