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indobert-finetuned-indosquad – AI Model by rickyalan | AlphaNeural AI
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rickyalan
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indobert-finetuned-indosquad
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transformers
tf
bert
question-answering
id
Wikidepia/IndoSQuAD
indolem/indobert-base-uncased
finetune
mit
endpoints_compatible
us
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indobert-finetuned-indosquad
Model description
This model is a fine-tuned version of
indolem/indobert-base-uncased
on
IndoSQuAD 2.0
dataset.
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': 10798, '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
Evaluation results
f1-score: 71.54905859166257
Framework versions
Transformers 4.35.2
TensorFlow 2.15.0
Datasets 2.16.0
Tokenizers 0.15.0
