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Mohammed245/bert-base-uncased-finetuned-ED_BERT_test

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

  • Train Loss: 4.9663
  • Validation Loss: 5.2474
  • Epoch: 1

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:

  • optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
  • training_precision: float32

Training results

Train Loss Validation Loss Epoch
6.2084 5.6239 0
4.9663 5.2474 1

Framework versions

  • Transformers 4.18.0
  • TensorFlow 2.4.0
  • Datasets 2.2.1
  • Tokenizers 0.11.0
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