RubenBueno/flaubert_base_cased-finetuned-text-classification

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: 0.2521
• Validation Loss: 0.2324
• Train Accuracy: 0.9156
• Train F1: 0.9094
• Epoch: 3

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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 540, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': np.float32(0.9), 'beta_2': np.float32(0.999), 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
• training_precision: float32

Training results

Train Loss	Validation Loss	Train Accuracy	Train F1	Epoch
0.4022	0.3368	0.8732	0.8267	0
0.3187	0.2686	0.9023	0.8885	1
0.2679	0.2474	0.9103	0.9032	2
0.2521	0.2324	0.9156	0.9094	3

Framework versions

• Transformers 4.50.3
• TensorFlow 2.19.0
• Datasets 3.6.0
• Tokenizers 0.21.1