metadata

license: mit
tags:
  - generated_from_keras_callback
model-index:
  - name: ksabeh/roberta-base-attribute-correction-qa-attribute-correction-qa
    results: []

ksabeh/roberta-base-attribute-correction-qa-attribute-correction-qa

This model is a fine-tuned version of ksabeh/roberta-base-attribute-correction-qa on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 0.1296
Validation Loss: 0.1091
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': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 36783, '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
0.1296	0.1091	0

Framework versions

Transformers 4.18.0
TensorFlow 2.6.3
Datasets 2.1.0
Tokenizers 0.12.1