---
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
model-index:
- name: results
  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. -->

# results

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0956
- Accuracy: 0.9714
- Precision: 0.9704
- Recall: 0.9714
- F1 Score: 0.9708

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 250
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 Score |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:--------:|
| 0.2725        | 1.0   | 507  | 0.2315          | 0.9388   | 0.8813    | 0.9388 | 0.9091   |
| 0.2883        | 2.0   | 1014 | 0.2167          | 0.9388   | 0.8813    | 0.9388 | 0.9091   |
| 0.0762        | 3.0   | 1521 | 0.0956          | 0.9714   | 0.9704    | 0.9714 | 0.9708   |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3