You can deploy this model and start earning money today!

mojtaba767/
bert-base-parsbert-uncased-finetuned-imdb-m-test2

Name: bert-base-parsbert-uncased-finetuned-imdb-m-test2
Rating: 2.5 (10 reviews)

transformers

bert

fill-mask

generated_from_keras_callback

autotrain_compatible

endpoints_compatible

Views

No views yet

mojtaba767/bert-base-parsbert-uncased-finetuned-imdb-m-test2

This model is a fine-tuned version of HooshvareLab/bert-base-parsbert-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 0.0273
Validation Loss: 0.0286
Epoch: 0

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': 'WarmUp', 'config': {'initial_learning_rate': 2e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': -968, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'passive_serialization': True}, 'warmup_steps': 1000, 'power': 1.0, '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	Validation Loss	Epoch
0.0273	0.0286	0

Framework versions

Transformers 4.21.1
TensorFlow 2.8.2
Datasets 2.4.0
Tokenizers 0.12.1