metadata

license: mit
base_model: flaubert/flaubert_base_cased
tags:
  - generated_from_keras_callback
model-index:
  - name: complexity_70_model
    results: []

complexity_70_model

This model is a fine-tuned version of flaubert/flaubert_base_cased on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 0.1832
Validation Loss: 0.2141
Train Accuracy: 0.9072
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', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 196040, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_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	Train Accuracy	Epoch
0.2362	0.2135	0.9017	0
0.2047	0.2103	0.9055	1
0.1832	0.2141	0.9072	2

Framework versions

Transformers 4.36.0
TensorFlow 2.13.1
Datasets 2.15.0
Tokenizers 0.15.0