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

# classifier

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0197
- Accuracy: 0.8095

## 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: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 374  | 1.2216          | 0.6905   |
| 1.6471        | 2.0   | 748  | 0.8738          | 0.7857   |
| 0.6591        | 3.0   | 1122 | 0.8361          | 0.7857   |
| 0.6591        | 4.0   | 1496 | 0.9271          | 0.7738   |
| 0.3013        | 5.0   | 1870 | 1.0054          | 0.7976   |
| 0.1565        | 6.0   | 2244 | 1.0197          | 0.8095   |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.1
- Datasets 2.8.0
- Tokenizers 0.13.2