badokorach/bert-finetuned-squad-3

This model is a fine-tuned version of badokorach/bert-finetuned-squad-2 on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.0034
• Epoch: 29

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: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 1950, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
• training_precision: mixed_float16

Training results

Train Loss	Epoch
0.0755	0
0.0927	1
0.0885	2
0.0539	3
0.0717	4
0.0455	5
0.0365	6
0.0212	7
0.0204	8
0.0235	9
0.0159	10
0.0128	11
0.0098	12
0.0134	13
0.0131	14
0.0156	15
0.0060	16
0.0090	17
0.0065	18
0.0069	19
0.0062	20
0.0078	21
0.0121	22
0.0031	23
0.0040	24
0.0037	25
0.0040	26
0.0021	27
0.0031	28
0.0034	29

Framework versions

• Transformers 4.31.0
• TensorFlow 2.12.0
• Datasets 2.14.3
• Tokenizers 0.13.3