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LabiraEdu-v1.0 – AI Model by Labira | AlphaNeural AI
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Labira
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LabiraEdu-v1.0
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transformers
tf
bert
question-answering
generated_from_keras_callback
indolem/indobert-base-uncased
finetune
mit
endpoints_compatible
us
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Labira/LabiraEdu-v1.0
This model is a fine-tuned version of
indolem/indobert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 1.0161
Validation Loss: 3.1318
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': 132, '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
Epoch
5.3332
4.2681
0
3.7948
3.4128
1
2.8637
3.0312
2
2.5416
3.0434
3
2.3160
3.0057
4
2.1121
2.9734
5
1.7971
2.9516
6
1.5246
2.9939
7
1.5344
3.0014
8
1.2878
3.0860
9
1.1462
3.1003
10
1.0161
3.1318
11
Framework versions
Transformers 4.41.2
TensorFlow 2.15.0
Datasets 2.19.2
Tokenizers 0.19.1
