|
--- |
|
language: |
|
- pt |
|
license: apache-2.0 |
|
tags: |
|
- toxicity |
|
- portuguese |
|
- hate speech |
|
- offensive language |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
- f1 |
|
- precision |
|
- recall |
|
base_model: neuralmind/bert-large-portuguese-cased |
|
model-index: |
|
- name: dougtrajano/toxic-comment-classification |
|
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. --> |
|
|
|
# dougtrajano/toxic-comment-classification |
|
|
|
This model is a fine-tuned version of [neuralmind/bert-large-portuguese-cased](https://huggingface.co/neuralmind/bert-large-portuguese-cased) on the OLID-BR dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.4102 |
|
- Accuracy: 0.8547 |
|
- F1: 0.8549 |
|
- Precision: 0.8669 |
|
- Recall: 0.8547 |
|
|
|
## 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: 3.255788747459486e-05 |
|
- train_batch_size: 8 |
|
- eval_batch_size: 8 |
|
- seed: 1993 |
|
- optimizer: Adam with betas=(0.8445637934160373,0.8338816842140165) and epsilon=2.527092625455385e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 30 |
|
- label_smoothing_factor: 0.07158711257743958 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:| |
|
| 0.4465 | 1.0 | 1408 | 0.4102 | 0.8547 | 0.8549 | 0.8669 | 0.8547 | |
|
| 0.3839 | 2.0 | 2816 | 0.4814 | 0.8509 | 0.8497 | 0.8532 | 0.8509 | |
|
| 0.3945 | 3.0 | 4224 | 0.6362 | 0.8002 | 0.7918 | 0.8258 | 0.8002 | |
|
| 0.3643 | 4.0 | 5632 | 0.4961 | 0.8248 | 0.8211 | 0.8349 | 0.8248 | |
|
| 0.3345 | 5.0 | 7040 | 0.5267 | 0.8528 | 0.8532 | 0.8570 | 0.8528 | |
|
| 0.3053 | 6.0 | 8448 | 0.5902 | 0.8002 | 0.7911 | 0.8292 | 0.8002 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.26.1 |
|
- Pytorch 1.10.2+cu113 |
|
- Datasets 2.9.0 |
|
- Tokenizers 0.13.2 |
|
|