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RoBERTa_PT_BR_Pos

This model is a fine-tuned version of josu/roberta-pt-br on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1252
  • Precision: 0.6383
  • Recall: 0.6409
  • F1: 0.6396
  • Accuracy: 0.9514

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: 3e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 4

Training results

Training Loss Epoch Step Validation Loss Precision Recall F1 Accuracy
0.0975 4.0 500 0.1363 0.6327 0.6547 0.6435 0.9447

Framework versions

  • Transformers 4.40.0
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.19.1
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