README.md

metadata

license: mit
base_model: wonrax/phobert-base-vietnamese-sentiment
tags:
  - generated_from_keras_callback
model-index:
  - name: Q317/EmoraBert2
    results: []

Q317/EmoraBert2

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:

• Train Loss: 0.4262
• Validation Loss: 0.7312
• Train Accuracy: 0.7187
• Epoch: 3

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': 100590, '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
0.8152	0.7256	0.6797	0
0.6564	0.7021	0.7068	1
0.5446	0.7102	0.7167	2
0.4262	0.7312	0.7187	3

Framework versions

• Transformers 4.33.1
• TensorFlow 2.13.0
• Datasets 2.14.5
• Tokenizers 0.13.3