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ibama_teste_20241210153245

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metadata
library_name: transformers
license: mit
base_model: pierreguillou/bert-base-cased-squad-v1.1-portuguese
tags:
  - generated_from_trainer
model-index:
  - name: ibama_teste_20241210153245
    results: []

ibama_teste_20241210153245

This model is a fine-tuned version of pierreguillou/bert-base-cased-squad-v1.1-portuguese on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 4.1748

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: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 4
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 45 4.6203
No log 2.0 90 4.2607
No log 3.0 135 4.2147
No log 4.0 180 4.1748

Framework versions

  • Transformers 4.46.3
  • Pytorch 2.5.1+cu121
  • Datasets 3.1.0
  • Tokenizers 0.20.3