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aadhistii/indonesian-roberta-base-sentiment-classifier-twt-sentiment-analysis-tsel

sourceHugging Facemitupdated 2y agoView on Hugging Face
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aadhistii/indonesian-roberta-base-sentiment-classifier-twt-sentiment-analysis-tsel

This model is a fine-tuned version of w11wo/indonesian-roberta-base-sentiment-classifier on an unknown dataset. It achieves the following results on the evaluation set:

  • —Train Loss: 0.2241
  • —Validation Loss: 0.7091
  • —Train Accuracy: 0.7260
  • —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', 'weightdecay': None, 'clipnorm': None, 'globalclipnorm': None, 'clipvalue': None, 'useema': False, 'emamomentum': 0.99, 'emaoverwritefrequency': None, 'jitcompile': True, 'islegacyoptimizer': False, 'learningrate': {'module': 'keras.optimizers.schedules', 'classname': 'PolynomialDecay', 'config': {'initiallearningrate': 2e-05, 'decaysteps': 365, 'endlearningrate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registeredname': None}, 'beta1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
  • —training_precision: float32

Training results

Train LossValidation LossTrain AccuracyEpoch
0.86030.71680.69520
0.55960.62180.73971
0.41170.69880.71232
0.28470.68710.73293
0.22410.70910.72604

Framework versions

  • —Transformers 4.41.2
  • —TensorFlow 2.15.0
  • —Datasets 2.20.0
  • —Tokenizers 0.19.1