classificationPolEsp1

javilonso/classificationPolEsp1

classificationPolEsp1 is a text classification model from javilonso. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.

probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: bert
Access: Public
Created: Mar 30, 2022
Updated: Mar 30, 2022
SHA: ae67d286

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Model card

From the Hugging Face model README

javilonso/classificationPolEsp1

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

Train Loss: 0.3728
Validation Loss: 0.6217
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': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 17958, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, '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
0.6282	0.6017	0
0.5129	0.6177	1
0.3728	0.6217	2

Framework versions

Transformers 4.17.0
TensorFlow 2.6.0
Datasets 2.0.0
Tokenizers 0.11.6

Task: Text Classification
Library: transformers
Type: bert
License: mit
Created: Mar 30, 2022
Updated: Mar 30, 2022