beto_amazon_posneu

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: 0.1277
• Train Accuracy: 0.9550
• Validation Loss: 0.3439
• Validation Accuracy: 0.8905
• 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': 5e-05, '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
0.3195	0.8712	0.3454	0.8580	0
0.1774	0.9358	0.3258	0.8802	1
0.1277	0.9550	0.3439	0.8905	2

Framework versions

• Transformers 4.16.2
• TensorFlow 2.7.0
• Datasets 1.18.3
• Tokenizers 0.11.0