lipaoMai / BERT-sentiment-analysis-portuguese-with-undersampling-v2

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Total runs: 1
24-hour runs: 0
7-day runs: 0
30-day runs: 1
Model's Last Updated: August 06 2024

Introduction of BERT-sentiment-analysis-portuguese-with-undersampling-v2

Model Details of BERT-sentiment-analysis-portuguese-with-undersampling-v2

BERT-sentiment-analysis-portuguese-with-undersampling-v2

This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3082
  • Accuracy: 0.8735
  • F1: 0.8733
  • Precision: 0.8737
  • Recall: 0.8735
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: 0.9
  • num_epochs: 2
Training results
Training Loss Epoch Step Validation Loss Accuracy F1 Precision Recall
0.4125 1.0 1508 0.4269 0.8292 0.8290 0.8339 0.8292
0.3285 2.0 3016 0.3082 0.8735 0.8733 0.8737 0.8735
Framework versions
  • Transformers 4.42.4
  • Pytorch 2.3.1+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1

Runs of lipaoMai BERT-sentiment-analysis-portuguese-with-undersampling-v2 on huggingface.co

1
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3-day runs
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7-day runs
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