bert-base-Massive-intent

gokuls/bert-base-Massive-intent

bert-base-Massive-intent is a text classification model from gokuls. 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.

should 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: Sep 23, 2022
Updated: Sep 23, 2022
SHA: d53c4676

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Datasets

massive

Model card

From the Hugging Face model README

bert-base-Massive-intent

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

Loss: 0.6707
Accuracy: 0.8859

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:

learning_rate: 5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 33
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 15
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.6844	1.0	720	0.7190	0.8387
0.4713	2.0	1440	0.5449	0.8726
0.2459	3.0	2160	0.5893	0.8790
0.1469	4.0	2880	0.6631	0.8795
0.0874	5.0	3600	0.6707	0.8859
0.0507	6.0	4320	0.7189	0.8844
0.0344	7.0	5040	0.7480	0.8854
0.0225	8.0	5760	0.7956	0.8844

Framework versions

Transformers 4.22.1
Pytorch 1.12.1+cu113
Datasets 2.5.1
Tokenizers 0.12.1

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