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badokorach/
bert-finetuned-squad-4

Name: bert-finetuned-squad-4
Availability: InStock

transformers

bert

question-answering

generated_from_keras_callback

badokorach/bert-finetuned-squad-3

finetune

apache-2.0

endpoints_compatible

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badokorach/bert-finetuned-squad-4

This model is a fine-tuned version of badokorach/bert-finetuned-squad-3 on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 0.0012
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
0.0271	0
0.0357	1
0.0392	2
0.0149	3
0.0136	4
0.0092	5
0.0107	6
0.0275	7
0.0256	8
0.0184	9
0.0110	10
0.0099	11
0.0056	12
0.0049	13
0.0111	14
0.0024	15
0.0031	16
0.0028	17
0.0028	18
0.0017	19
0.0014	20
0.0037	21
0.0019	22
0.0024	23
0.0013	24
0.0022	25
0.0013	26
0.0015	27
0.0009	28
0.0012	29

Framework versions

Transformers 4.31.0
TensorFlow 2.12.0
Datasets 2.14.3
Tokenizers 0.13.3