bert-uncased-massive-intent-classification-finetuned-banking-1

fathyshalab/bert-uncased-massive-intent-classification-finetuned-banking-1

bert-uncased-massive-intent-classification-finetuned-banking-1 is a text classification model from fathyshalab. 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: Nov 28, 2022
Updated: Nov 28, 2022
SHA: 42955f16

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Model card

From the Hugging Face model README

bert-uncased-massive-intent-classification-finetuned-banking-1

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

Loss: 2.6447
Accuracy: 0.1822

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: 2e-05
train_batch_size: 6
eval_batch_size: 6
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.9685	1.0	3	2.7310	0.1422
2.8056	2.0	6	2.6970	0.1467
2.5004	3.0	9	2.6680	0.1511
2.445	4.0	12	2.6515	0.1778
2.3977	5.0	15	2.6447	0.1822

Framework versions

Transformers 4.24.0
Pytorch 1.12.1
Datasets 2.3.2
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Nov 28, 2022
Updated: Nov 28, 2022