BERT_Tweet_Sentiment_50k_5eps

joe5campbell/BERT_Tweet_Sentiment_50k_5eps

BERT_Tweet_Sentiment_50k_5eps is a text classification model from joe5campbell. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.

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

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At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Mar 2, 2022
Updated: Feb 21, 2022
SHA: 09add531

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Model card

From the Hugging Face model README

BERT_Tweet_Sentiment_50k_5eps

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

Train Loss: 0.0256
Train Accuracy: 0.9913
Validation Loss: 0.8905
Validation Accuracy: 0.8291
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', 'clipnorm': 1.0, 'learning_rate': 3e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
training_precision: float32

Training results

Train Loss	Train Accuracy	Validation Loss	Validation Accuracy	Epoch
0.3395	0.8513	0.4071	0.8372	0
0.1095	0.9606	0.6561	0.8291	1
0.0487	0.9835	0.7597	0.8304	2
0.0329	0.9890	0.7814	0.8273	3
0.0256	0.9913	0.8905	0.8291	4

Framework versions

Transformers 4.16.2
TensorFlow 2.8.0
Tokenizers 0.11.0

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Mar 2, 2022
Updated: Feb 21, 2022