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badokorach/
mobilebert-uncased-finetuned-agic-031223

Name: mobilebert-uncased-finetuned-agic-031223
Availability: InStock

transformers

mobilebert

question-answering

generated_from_keras_callback

csarron/mobilebert-uncased-squad-v2

finetune

mit

endpoints_compatible

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badokorach/mobilebert-uncased-finetuned-agic-031223

This model is a fine-tuned version of csarron/mobilebert-uncased-squad-v2 on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 1.1210
Validation Loss: 0.0
Epoch: 14

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': 1e-05, 'decay_steps': 1380, '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': 0.02}
training_precision: mixed_float16

Training results

Train Loss	Validation Loss	Epoch
2.5468	0.0	0
2.1302	0.0	1
1.9414	0.0	2
1.8090	0.0	3
1.7032	0.0	4
1.5721	0.0	5
1.5043	0.0	6
1.4082	0.0	7
1.3307	0.0	8
1.2782	0.0	9
1.2426	0.0	10
1.2036	0.0	11
1.1784	0.0	12
1.1151	0.0	13
1.1210	0.0	14

Framework versions

Transformers 4.35.2
TensorFlow 2.15.0
Datasets 2.16.1
Tokenizers 0.15.0