Horovod_Tweet_Sentiment_1k_5eps

joe5campbell/Horovod_Tweet_Sentiment_1k_5eps

Horovod_Tweet_Sentiment_1k_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 24, 2022
Updated: Mar 24, 2022
SHA: 52bd24b6

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Model card

From the Hugging Face model README

Horovod_Tweet_Sentiment_1k_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: 0.5216092
Train Accuracy: 0.784375
Validation Loss: 0.92405033
Validation Accuracy: 0.4875
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': 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
0.7129049	0.50937504	0.7314203	0.490625	0
0.73165804	0.47343752	0.6929074	0.484375	1
0.6827939	0.55	0.6864271	0.50625	2
0.66076773	0.5578125	0.60817575	0.69687504	3
0.5216092	0.784375	0.92405033	0.4875	4

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 24, 2022
Updated: Mar 24, 2022