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This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4114
  • Accuracy: 0.8700

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: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 344 0.3773 0.8490
0.3812 2.0 688 0.4114 0.8700

Framework versions

  • Transformers 4.12.3
  • Pytorch 1.9.1
  • Datasets 1.12.1
  • Tokenizers 0.10.3
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Evaluation results

Model card error

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