Horovod_Tweet_Sentiment_100k_2eps

joe5campbell/Horovod_Tweet_Sentiment_100k_2eps

Horovod_Tweet_Sentiment_100k_2eps 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 23, 2022
Updated: Mar 23, 2022
SHA: 376d6f61

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Model card

From the Hugging Face model README

Horovod_Tweet_Sentiment_100k_2eps

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: 0.35511288
Train Accuracy: 0.8470289
Validation Loss: 0.42278787
Validation Accuracy: 0.8168883
Epoch: 1

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': 0.0003, '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
0.44729528	0.79518235	0.39121008	0.8254654	0
0.35511288	0.8470289	0.42278787	0.8168883	1

Framework versions

Transformers 4.17.0
TensorFlow 2.6.0
Tokenizers 0.11.6

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Mar 23, 2022
Updated: Mar 23, 2022