---
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: bert_Pfinal_2e-5_16_10
  results: []
---

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# bert_Pfinal_2e-5_16_10

This model is a fine-tuned version of [fredymad/bert_Pfinal_2e-5_16_2](https://huggingface.co/fredymad/bert_Pfinal_2e-5_16_2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6295
- F1: 0.7355

## 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 | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.101         | 1.0   | 669  | 0.3000          | 0.7169 |
| 0.1282        | 2.0   | 1338 | 0.2993          | 0.7361 |
| 0.0548        | 3.0   | 2007 | 0.3924          | 0.7308 |
| 0.0278        | 4.0   | 2676 | 0.4989          | 0.7221 |
| 0.0229        | 5.0   | 3345 | 0.6089          | 0.6940 |
| 0.0168        | 6.0   | 4014 | 0.5561          | 0.7361 |
| 0.0082        | 7.0   | 4683 | 0.6112          | 0.7297 |
| 0.008         | 8.0   | 5352 | 0.6101          | 0.7343 |
| 0.0052        | 9.0   | 6021 | 0.6253          | 0.7400 |
| 0.003         | 10.0  | 6690 | 0.6295          | 0.7355 |


### Framework versions

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