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pedramyamini/
distilbert-base-multilingual-cased-finetuned-mobile-banks-cafebazaar-3-targets

Name: distilbert-base-multilingual-cased-finetuned-mobile-banks-cafebazaar-3-targets
Availability: InStock

transformers

distilbert

text-classification

generated_from_keras_callback

apache-2.0

autotrain_compatible

endpoints_compatible

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pedramyamini/distilbert-base-multilingual-cased-finetuned-mobile-banks-cafebazaar-3-targets

This model is a fine-tuned version of distilbert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 0.3849
Validation Loss: 0.5796
Epoch: 4

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': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 13370, '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}
training_precision: float32

Training results

Train Loss	Validation Loss	Epoch
0.5794	0.5384	0
0.5189	0.5283	1
0.4756	0.5421	2
0.4289	0.5678	3
0.3849	0.5796	4

Framework versions

Transformers 4.21.3
TensorFlow 2.8.2
Datasets 2.4.0
Tokenizers 0.12.1