teddythinh/phobert-base-v2-finetuned-uit-viquad

This model is a fine-tuned version of vinai/phobert-base-v2 on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 1.8423
• Train End Logits Accuracy: 0.4973
• Train Start Logits Accuracy: 0.4201
• Validation Loss: 1.9312
• Validation End Logits Accuracy: 0.4842
• Validation Start Logits Accuracy: 0.4203
• Epoch: 1

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': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 2690, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
• training_precision: float32

Training results

Train Loss	Train End Logits Accuracy	Train Start Logits Accuracy	Validation Loss	Validation End Logits Accuracy	Validation Start Logits Accuracy	Epoch
2.7462	0.3481	0.2765	2.0324	0.4644	0.4040	0
1.8423	0.4973	0.4201	1.9312	0.4842	0.4203	1

Framework versions

• Transformers 4.32.0.dev0
• TensorFlow 2.15.0
• Datasets 2.16.1
• Tokenizers 0.13.3