bert-base-uncased-finetuned-fin

Venkatesh4342/bert-base-uncased-finetuned-fin

bert-base-uncased-finetuned-fin is a text classification model from Venkatesh4342. 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. --

Downloads · 30 days

2% of all-time downloads

All-time downloads

567

Public

Repo size

6.6 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin438 MB · 100%

At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Dec 31, 2022
Updated: Feb 9, 2023
SHA: b1cf98bc

Try a prompt

Model card

From the Hugging Face model README

bert-base-uncased-finetuned-fin

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

Loss: 0.3931
Accuracy: 0.8873
F1: 0.8902

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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.6478	1.0	134	0.4118	0.8293	0.8309
0.3304	2.0	268	0.3315	0.8653	0.8694
0.2221	3.0	402	0.3229	0.8756	0.8781
0.1752	4.0	536	0.3192	0.8891	0.8921
0.1457	5.0	670	0.3700	0.8840	0.8880
0.1315	6.0	804	0.3774	0.8854	0.8882
0.1172	7.0	938	0.3883	0.8849	0.8877
0.112	8.0	1072	0.3931	0.8873	0.8902

Framework versions

Transformers 4.26.0
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Dec 31, 2022
Updated: Feb 9, 2023