---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: test_trainer2
  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. -->

# test_trainer2

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1032
- Accuracy: 0.9767

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 306  | 0.1599          | 0.9558   |
| 0.1259        | 2.0   | 612  | 0.1144          | 0.9779   |
| 0.1259        | 3.0   | 918  | 0.1032          | 0.9767   |


### Framework versions

- Transformers 4.29.2
- Pytorch 1.12.0+cu116
- Datasets 2.12.0
- Tokenizers 0.13.3