---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: result_2
  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. -->

# result_2

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 10.7026
- Accuracy: 0.4058

## 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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 1000

### Training results

| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|:-------------:|:-----:|:----:|:--------:|:---------------:|
| 0.19          | 1.0   | 90   | 0.9620   | 0.1504          |
| 0.1041        | 1.99  | 180  | 0.9744   | 0.0753          |
| 0.0463        | 2.99  | 270  | 0.9972   | 0.0106          |
| 0.0003        | 4.0   | 361  | 0.9965   | 0.0354          |
| 0.0           | 5.0   | 451  | 0.9910   | 0.1336          |
| 0.0           | 5.99  | 541  | 0.9959   | 0.0548          |
| 0.0654        | 6.99  | 631  | 0.9952   | 0.0685          |
| 0.0617        | 8.0   | 722  | 0.9972   | 0.0307          |
| 0.0           | 9.0   | 812  | 0.9959   | 0.0454          |
| 0.0           | 9.99  | 902  | 0.9972   | 0.0382          |
| 0.0           | 10.99 | 992  | 0.9979   | 0.0365          |
| 0.0           | 11.12 | 1001 | 10.7026  | 0.4058          |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3