banking77

KevinCai/banking77

banking77 is a text classification model from KevinCai. 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: May 23, 2025
Updated: May 23, 2025
SHA: fcc93579

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Base models

google-bert/bert-base-uncased

Model card

From the Hugging Face model README

banking77

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

Loss: 0.2846
F1: 0.9316

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: 32
eval_batch_size: 16
seed: 42
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	F1
1.5829	1.0	313	1.1631	0.7977
0.5338	2.0	626	0.4816	0.9114
0.2448	3.0	939	0.3417	0.9198
0.1321	4.0	1252	0.2973	0.9293
0.0708	5.0	1565	0.2846	0.9316

Framework versions

Transformers 4.48.0.dev0
Pytorch 2.4.1+cu121
Datasets 3.6.0
Tokenizers 0.21.1

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: May 23, 2025
Updated: May 23, 2025