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pmfsl/
bertimbau-base-finetuned-stsb

Name: bertimbau-base-finetuned-stsb
Availability: InStock

transformers

bert

text-classification

generated_from_keras_callback

mit

autotrain_compatible

endpoints_compatible

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pmfsl/bertimbau-base-finetuned-stsb

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

Train Loss: 0.0553
Validation Loss: 0.1474
Train Pearsonr: 0.9486
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': 4e-05, 'decay_steps': 2030, '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 Pearsonr	Epoch
0.5258	0.2748	0.8880	0
0.1468	0.1877	0.9214	1
0.0985	0.1370	0.9419	2
0.0704	0.1465	0.9456	3
0.0553	0.1474	0.9486	4

Framework versions

Transformers 4.27.4
TensorFlow 2.12.0
Datasets 2.11.0
Tokenizers 0.13.2