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bert-finetuned-squad-2 – AI Model by badokorach | AlphaNeural AI
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badokorach
/
bert-finetuned-squad-2
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0
transformers
tf
bert
question-answering
generated_from_keras_callback
badokorach/bert-finetuned-squad
finetune
apache-2.0
endpoints_compatible
us
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badokorach/bert-finetuned-squad-2
This model is a fine-tuned version of
badokorach/bert-finetuned-squad
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.0321
Epoch: 19
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': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 1300, '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}
training_precision: mixed_float16
Training results
Train Loss
Epoch
2.5929
0
2.0035
1
1.5695
2
1.2195
3
0.8813
4
0.6352
5
0.4423
6
0.2866
7
0.2029
8
0.1448
9
0.1142
10
0.0858
11
0.0630
12
0.0480
13
0.0413
14
0.0359
15
0.0379
16
0.0344
17
0.0299
18
0.0321
19
Framework versions
Transformers 4.31.0
TensorFlow 2.12.0
Datasets 2.14.3
Tokenizers 0.13.3
