Horovod_Tweet_Sentiment_1K_4eps

joe5campbell/Horovod_Tweet_Sentiment_1K_4eps

Horovod_Tweet_Sentiment_1K_4eps 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 30, 2022
SHA: b456adf1

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Model card

From the Hugging Face model README

Horovod_Tweet_Sentiment_1K_4eps

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: 0.6803332
Train Accuracy: 0.57187504
Validation Loss: 0.6883397
Validation Accuracy: 0.54375
Epoch: 3

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
0.70931095	0.5078125	0.81717503	0.528125	0
0.77384466	0.5296875	0.68696874	0.51875	1
0.68944424	0.53125	0.6837756	0.53125	2
0.6803332	0.57187504	0.6883397	0.54375	3

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 30, 2022