lipaoMai / bert-sentiment-model-portuguese

huggingface.co
Total runs: 7
24-hour runs: 0
7-day runs: -1
30-day runs: -3
Model's Last Updated: August 05 2024

Introduction of bert-sentiment-model-portuguese

Model Details of bert-sentiment-model-portuguese

bert-sentiment-model-portuguese

This model is a fine-tuned version of neuralmind/bert-base-portuguese-cased on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1480
  • Accuracy: 0.9634
  • F1: 0.9633
  • Precision: 0.9636
  • Recall: 0.9634
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
  • lr_scheduler_warmup_ratio: 0.03
  • num_epochs: 2
Training results
Training Loss Epoch Step Validation Loss Accuracy F1 Precision Recall
0.1247 1.0 359 0.1624 0.9561 0.9560 0.9570 0.9561
0.0959 2.0 718 0.1480 0.9634 0.9633 0.9636 0.9634
Framework versions
  • Transformers 4.42.4
  • Pytorch 2.3.1+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1

Runs of lipaoMai bert-sentiment-model-portuguese on huggingface.co

7
Total runs
0
24-hour runs
0
3-day runs
-1
7-day runs
-3
30-day runs

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bert-sentiment-model-portuguese install

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