---
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: 1.7391
- Exact Match: 0.0

## 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: 64
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Exact Match |
|:-------------:|:-----:|:----:|:---------------:|:-----------:|
| 2.0707        | 1.0   | 157  | 1.4872          | 0.003       |
| 1.0627        | 2.0   | 314  | 1.2868          | 0.007       |
| 0.8185        | 3.0   | 471  | 1.2750          | 0.0         |
| 0.6815        | 4.0   | 628  | 1.4788          | 0.0         |
| 0.6021        | 5.0   | 785  | 1.3314          | 0.003       |
| 0.5331        | 6.0   | 942  | 1.4174          | 0.0         |
| 0.481         | 7.0   | 1099 | 1.5780          | 0.0         |
| 0.442         | 8.0   | 1256 | 1.4797          | 0.0         |
| 0.4027        | 9.0   | 1413 | 1.5298          | 0.0         |
| 0.3629        | 10.0  | 1570 | 1.5906          | 0.0         |
| 0.3313        | 11.0  | 1727 | 1.6076          | 0.0         |
| 0.3031        | 12.0  | 1884 | 1.7169          | 0.0         |
| 0.269         | 13.0  | 2041 | 1.5874          | 0.0         |
| 0.2433        | 14.0  | 2198 | 1.7706          | 0.0         |
| 0.2079        | 15.0  | 2355 | 1.6666          | 0.0         |
| 0.1772        | 16.0  | 2512 | 1.6823          | 0.0         |
| 0.1549        | 17.0  | 2669 | 1.7645          | 0.0         |
| 0.1345        | 18.0  | 2826 | 1.7436          | 0.0         |
| 0.124         | 19.0  | 2983 | 1.7963          | 0.0         |
| 0.1166        | 20.0  | 3140 | 1.7391          | 0.0         |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0