---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert_Pfinal_4CLASES_2e-5_16_10
  results: []
---

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# bert_Pfinal_4CLASES_2e-5_16_10

This model is a fine-tuned version of [fredymad/bert_Pfinal_4CLASES_2e-5_16_2](https://huggingface.co/fredymad/bert_Pfinal_4CLASES_2e-5_16_2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9126
- Accuracy: 0.8960

## 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: 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.1814        | 1.0   | 669  | 0.4063          | 0.8960   |
| 0.1821        | 2.0   | 1338 | 0.4814          | 0.8904   |
| 0.1029        | 3.0   | 2007 | 0.5948          | 0.8968   |
| 0.0545        | 4.0   | 2676 | 0.6543          | 0.8949   |
| 0.038         | 5.0   | 3345 | 0.7463          | 0.8953   |
| 0.0122        | 6.0   | 4014 | 0.8268          | 0.8968   |
| 0.0137        | 7.0   | 4683 | 0.8442          | 0.8964   |
| 0.0061        | 8.0   | 5352 | 0.8852          | 0.8953   |
| 0.0073        | 9.0   | 6021 | 0.9132          | 0.8957   |
| 0.002         | 10.0  | 6690 | 0.9126          | 0.8960   |


### Framework versions

- Transformers 4.28.0
- Pytorch 1.13.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3