---
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: output
  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. -->

# output

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5522
- Accuracy: 0.8706
- Precision: 0.9221
- Recall: 0.8285
- F1: 0.8728

## 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: 16
- seed: 0
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 0.2351        | 0.49  | 500  | 0.4091          | 0.8641   | 0.8835    | 0.8596 | 0.8714 |
| 0.206         | 0.98  | 1000 | 0.4545          | 0.8594   | 0.9210    | 0.8068 | 0.8601 |
| 0.1315        | 1.47  | 1500 | 0.5653          | 0.8660   | 0.8769    | 0.8722 | 0.8745 |
| 0.1503        | 1.96  | 2000 | 0.5522          | 0.8706   | 0.9221    | 0.8285 | 0.8728 |


### Framework versions

- Transformers 4.27.4
- Pytorch 1.13.1+cu116
- Tokenizers 0.13.2