---
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
model-index:
- name: documentClassification
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# documentClassification

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0485
- Accuracy: 0.9862
- Precision: 0.9859
- Recall: 0.9862
- F1 Score: 0.9860

## 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: 2.5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 Score |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:--------:|
| 0.155         | 1.0   | 507  | 0.0907          | 0.9778   | 0.9777    | 0.9778 | 0.9777   |
| 0.0511        | 2.0   | 1014 | 0.0485          | 0.9862   | 0.9859    | 0.9862 | 0.9860   |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3