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Q317/
EmoraBert

Name: EmoraBert
Rating: 2.5 (7 reviews)

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Q317/EmoraBert

This model is a fine-tuned version of wonrax/phobert-base-vietnamese-sentiment on an unknown dataset. It achieves the following results on the evaluation set:

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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': 220740, '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

Train Loss	Validation Loss	Train Accuracy	Epoch
0.8611	0.7685	0.6586	0
0.6951	0.7397	0.6802	1
0.5578	0.7740	0.6894	2
0.4277	0.8475	0.6849	3
0.3222	0.9853	0.6889	4
0.2376	1.0837	0.6840	5
0.1982	1.1422	0.6771	6
0.1618	1.2596	0.6786	7
0.1341	1.3652	0.6773	8
0.1216	1.3423	0.6833	9