You can deploy this model and start earning money today!

ViditRaj/
Distil_BERT_Hindi_Ads_Classifier_test_set

Name: Distil_BERT_Hindi_Ads_Classifier_test_set
Availability: InStock

transformers

distilbert

text-classification

generated_from_keras_callback

apache-2.0

autotrain_compatible

endpoints_compatible

Views

No views yet

ViditRaj/Distil_BERT_Hindi_Ads_Classifier_test_set

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: 0.1005
Validation Loss: 0.3847
Train Accuracy: 0.88
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', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 420, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
training_precision: float32

Training results

Train Loss	Validation Loss	Train Accuracy	Epoch
0.3727	0.3213	0.855	0
0.2185	0.3729	0.865	1
0.1628	0.4165	0.865	2
0.1243	0.3451	0.88	3
0.1005	0.3847	0.88	4

Framework versions

Transformers 4.27.3
TensorFlow 2.11.0
Datasets 2.10.1
Tokenizers 0.13.2