beto_amazon_final_pnn

This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-uncased on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.5242
• Train Accuracy: 0.7838
• Validation Loss: 0.6507
• Validation Accuracy: 0.7284
• 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', 'learning_rate': 5e-07, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
• training_precision: float32

Training results

Train Loss	Train Accuracy	Validation Loss	Validation Accuracy	Epoch
0.6129	0.7496	0.6588	0.7248	0
0.5850	0.7566	0.6505	0.7258	1
0.5604	0.7704	0.6484	0.7278	2
0.5407	0.7840	0.6503	0.7250	3
0.5242	0.7838	0.6507	0.7284	4

Framework versions

• Transformers 4.16.2
• TensorFlow 2.8.0
• Datasets 1.18.3
• Tokenizers 0.11.6