gacoanReviewer / README.md
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Training in progress epoch 11
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metadata
license: mit
base_model: indobenchmark/indobert-base-p1
tags:
  - generated_from_keras_callback
model-index:
  - name: aditnnda/gacoanReviewer
    results: []

aditnnda/gacoanReviewer

This model is a fine-tuned version of indobenchmark/indobert-base-p1 on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 0.0052
  • Validation Loss: 0.4023
  • Train Accuracy: 0.9344
  • Epoch: 11

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': 2e-05, 'decay_steps': 3550, '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 Accuracy Epoch
0.2751 0.2043 0.9107 0
0.1202 0.2077 0.9177 1
0.0583 0.2770 0.9079 2
0.0435 0.3412 0.9066 3
0.0251 0.3762 0.9079 4
0.0208 0.2241 0.9303 5
0.0070 0.2794 0.9317 6
0.0151 0.3823 0.9219 7
0.0088 0.3740 0.9261 8
0.0019 0.4286 0.9261 9
0.0030 0.6086 0.8912 10
0.0052 0.4023 0.9344 11

Framework versions

  • Transformers 4.35.2
  • TensorFlow 2.15.0
  • Datasets 2.15.0
  • Tokenizers 0.15.0