|
--- |
|
language: |
|
- pt |
|
license: apache-2.0 |
|
tags: |
|
- toxicity |
|
- portuguese |
|
- hate speech |
|
- offensive language |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
- f1 |
|
- precision |
|
- recall |
|
model-index: |
|
- name: dougtrajano/toxicity-target-type-identification |
|
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/toxicity-target-type-identification |
|
|
|
This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased) on the OLID-BR dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.7001 |
|
- Accuracy: 0.7505 |
|
- F1: 0.7603 |
|
- Precision: 0.7813 |
|
- Recall: 0.7505 |
|
|
|
## 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: 3.952388499692274e-05 |
|
- train_batch_size: 8 |
|
- eval_batch_size: 8 |
|
- seed: 1993 |
|
- optimizer: Adam with betas=(0.9944095815441554,0.8750000522553327) and epsilon=1.8526084265228802e-07 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 30 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:| |
|
| No log | 1.0 | 355 | 0.7001 | 0.7505 | 0.7603 | 0.7813 | 0.7505 | |
|
| 0.7919 | 2.0 | 710 | 1.0953 | 0.7505 | 0.7452 | 0.7590 | 0.7505 | |
|
| 0.5218 | 3.0 | 1065 | 1.4217 | 0.7484 | 0.7551 | 0.7688 | 0.7484 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.26.0 |
|
- Pytorch 1.10.2+cu113 |
|
- Datasets 2.9.0 |
|
- Tokenizers 0.13.2 |
|
|
