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karsar/
origo_telex

Name: origo_telex
Availability: InStock

transformers

distilbert

text-classification

generated_from_keras_callback

apache-2.0

autotrain_compatible

endpoints_compatible

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karsar/origo_telex

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: 0.1304
Validation Loss: 0.2183
Train Accuracy: 0.9187
Epoch: 2

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': 5195, '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
0.3667	0.2623	0.8975	0
0.1989	0.2199	0.9197	1
0.1304	0.2183	0.9187	2

Framework versions

Transformers 4.29.1
TensorFlow 2.12.0
Datasets 2.12.0
Tokenizers 0.13.3