README.md

metadata

license: mit
base_model: neuralmind/bert-large-portuguese-cased
tags:
  - generated_from_trainer
datasets:
  - hate_speech_portuguese
metrics:
  - accuracy
model-index:
  - name: bertimbau_hate_speech
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: hate_speech_portuguese
          type: hate_speech_portuguese
          config: default
          split: train
          args: default
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.7865961199294532

bertimbau_hate_speech

This model is a fine-tuned version of neuralmind/bert-large-portuguese-cased on the hate_speech_portuguese dataset. It achieves the following results on the evaluation set:

• Loss: 0.4982
• Accuracy: 0.7866

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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	319	0.4464	0.7866
0.4517	2.0	638	0.4982	0.7866

Framework versions

• Transformers 4.31.0
• Pytorch 2.1.0.dev20230816+cu121
• Datasets 2.14.4
• Tokenizers 0.13.3