metadata

license: mit
base_model: unicamp-dl/ptt5-base-portuguese-vocab
tags:
  - generated_from_keras_callback
model-index:
  - name: vladjr/ptt5-base-portuguese-vocab-finetuned-americanas-maior-pt
    results: []

vladjr/ptt5-base-portuguese-vocab-finetuned-americanas-maior-pt

This model is a fine-tuned version of unicamp-dl/ptt5-base-portuguese-vocab on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 0.0674
Validation Loss: 0.1267
Epoch: 7

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': 5.6e-05, 'decay_steps': 3304, '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, 'weight_decay_rate': 0.01}
training_precision: mixed_float16

Training results

Train Loss	Validation Loss	Epoch
0.3077	0.1753	0
0.1429	0.1384	1
0.1127	0.1296	2
0.0952	0.1240	3
0.0844	0.1247	4
0.0769	0.1229	5
0.0704	0.1239	6
0.0674	0.1267	7

Framework versions

Transformers 4.34.0
TensorFlow 2.13.0
Datasets 2.14.5
Tokenizers 0.14.0