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Apache5Classic

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: 0.2495
  • Train Accuracy: 0.9123
  • Validation Loss: 0.5992
  • Validation Accuracy: 0.8018
  • Epoch: 2

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': 'Adam', 'weight_decay': None, 'clipnorm': 1.0, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': 3e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
  • training_precision: float32

Training results

Train Loss Train Accuracy Validation Loss Validation Accuracy Epoch
0.3064 0.9075 0.5009 0.8233 0
0.2899 0.9107 0.5166 0.8233 1
0.2495 0.9123 0.5992 0.8018 2

Framework versions

  • Transformers 4.29.2
  • TensorFlow 2.12.0
  • Datasets 2.12.0
  • Tokenizers 0.13.3
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