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MarioPenguin/
beto_amazon_final_posneg

Name: beto_amazon_final_posneg
Availability: InStock

transformers

bert

text-classification

generated_from_keras_callback

autotrain_compatible

endpoints_compatible

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beto_amazon_final_posneg

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: 0.1429
Train Accuracy: 0.9510
Validation Loss: 0.2942
Validation Accuracy: 0.8913
Epoch: 9

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
0.6474	0.6545	0.5618	0.7893	0
0.4576	0.8360	0.3672	0.8560	1
0.3088	0.8925	0.3096	0.8752	2
0.2529	0.9028	0.2888	0.8855	3
0.2177	0.9168	0.2876	0.8865	4
0.1973	0.9280	0.2921	0.8865	5
0.1792	0.9373	0.2844	0.8903	6
0.1686	0.9423	0.2859	0.8898	7
0.1525	0.9480	0.2884	0.8917	8
0.1429	0.9510	0.2942	0.8913	9

Framework versions

Transformers 4.17.0
TensorFlow 2.8.0
Datasets 1.18.3
Tokenizers 0.11.6

MarioPenguin/beto_amazon_final_posneg

beto_amazon_final_posneg

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MarioPenguin/
beto_amazon_final_posneg