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End of training
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metadata
license: mit
base_model: neuralmind/bert-large-portuguese-cased
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: bert-large-portuguese-cased_ft-multilple-choice-enem-sample
    results: []

bert-large-portuguese-cased_ft-multilple-choice-enem-sample

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

  • Loss: 1.6094
  • Accuracy: 0.1667

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: 5e-05
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Accuracy
1.6509 1.0 1382 1.6094 0.2210
1.6376 2.0 2764 1.6094 0.1848
1.6335 3.0 4146 1.6094 0.1667

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.0