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czigopis/bert-base-greek-uncased-v1-finetuned-on-OGTDv1

This model is a fine-tuned version of nlpaueb/bert-base-greek-uncased-v1 on the Offensive Greek Tweet Dataset (OGTD). It achieves the following results on the evaluation set:

  • Train Loss: 0.1390
  • Validation Loss: 0.4815
  • Train Matthews Correlation: 0.6669
  • Train F1: 0.8385
  • Train Accuracy: 0.8333
  • 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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 9805, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
  • training_precision: float32

Training results

Train Loss Validation Loss Train Matthews Correlation Train F1 Train Accuracy Epoch
0.6338 0.5099 0.5313 0.7560 0.7642 0
0.4309 0.3983 0.6669 0.8339 0.8333 1
0.3024 0.4196 0.6594 0.8220 0.8280 2
0.2222 0.4432 0.6666 0.8374 0.8333 3
0.1390 0.4815 0.6669 0.8385 0.8333 4

Framework versions

  • Transformers 4.40.2
  • TensorFlow 2.15.0
  • Datasets 2.19.1
  • Tokenizers 0.19.1
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