README.md

metadata

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

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:

• Train Loss: 0.2376
• Validation Loss: 1.0837
• Train Accuracy: 0.6840
• Epoch: 5

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': 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

Training results

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

Framework versions

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