dung1308/RM_system_not_mixed__NLP_model

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

• Train Loss: 4.2670
• Validation Loss: 4.3108
• Epoch: 12

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': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 2e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': -517, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'passive_serialization': True}, 'warmup_steps': 1000, 'power': 1.0, '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: mixed_float16

Training results

Train Loss	Validation Loss	Epoch
5.4281	4.6304	0
4.5092	4.2831	1
4.2234	4.2641	2
4.2383	4.3122	3
4.2406	4.2459	4
4.2113	4.2687	5
4.2721	4.2425	6
4.3064	4.2370	7
4.2685	4.2999	8
4.3104	nan	9
4.2444	4.2957	10
4.2041	4.2465	11
4.2670	4.3108	12

Framework versions

• Transformers 4.24.0
• TensorFlow 2.9.2
• Datasets 2.7.1
• Tokenizers 0.13.2