my-awesome-bert-model-sentiment-analysis

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: 0.0733
  • Train Accuracy: 0.9697
  • Validation Loss: 0.1888
  • Validation Accuracy: 0.9443
  • Epoch: 4

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': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 1e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
  • training_precision: float32

Training results

Train Loss Train Accuracy Validation Loss Validation Accuracy Epoch
0.6042 0.7451 0.3504 0.8689 0
0.2387 0.9104 0.2092 0.9253 1
0.1230 0.9524 0.2296 0.9288 2
0.0892 0.9633 0.2171 0.9347 3
0.0733 0.9697 0.1888 0.9443 4

Framework versions

  • Transformers 4.35.0
  • TensorFlow 2.14.0
  • Tokenizers 0.14.1
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