---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: test_model
  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_model

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9938
- Accuracy: 0.76

## 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: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6263        | 0.62  | 100  | 0.5941          | 0.7394   |
| 0.5263        | 1.24  | 200  | 0.5814          | 0.7578   |
| 0.4177        | 1.86  | 300  | 0.6013          | 0.7530   |
| 0.2901        | 2.48  | 400  | 0.7275          | 0.7402   |
| 0.2377        | 3.11  | 500  | 0.7853          | 0.7433   |
| 0.1313        | 3.73  | 600  | 0.8747          | 0.7394   |
| 0.1043        | 4.35  | 700  | 0.9510          | 0.7464   |
| 0.0714        | 4.97  | 800  | 0.9938          | 0.7473   |


### Framework versions

- Transformers 4.32.0
- Pytorch 2.1.2
- Datasets 2.16.0
- Tokenizers 0.13.3