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indonesian-roberta-base-sentiment-classifier-twt-sentiment-analysis-tsel – AI Model by aadhistii | AlphaNeural AI
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aadhistii
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indonesian-roberta-base-sentiment-classifier-twt-sentiment-analysis-tsel
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transformers
tf
tensorboard
roberta
text-classification
generated_from_keras_callback
w11wo/indonesian-roberta-base-sentiment-classifier
finetune
mit
autotrain_compatible
endpoints_compatible
us
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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', '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': 365, '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
0.8603
0.7168
0.6952
0
0.5596
0.6218
0.7397
1
0.4117
0.6988
0.7123
2
0.2847
0.6871
0.7329
3
0.2241
0.7091
0.7260
4
Framework versions
Transformers 4.41.2
TensorFlow 2.15.0
Datasets 2.20.0
Tokenizers 0.19.1
