IndicBERT_Finetuned_Final

Abhi964/IndicBERT_Finetuned_Final

IndicBERT_Finetuned_Final is a text classification model from Abhi964. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: bert
Access: Public
Created: Jul 4, 2024
Updated: Jul 4, 2024
SHA: 5dc52729

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Base models

ai4bharat/indic-bert

Model card

From the Hugging Face model README

IndicBERT_Finetuned_Final

This model is a fine-tuned version of ai4bharat/indic-bert on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6539
Accuracy: 0.7227
Precision: 0.7377
Recall: 0.7227

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: 64
eval_batch_size: 16
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	Precision	Recall
0.8979	1.0	190	0.9064	0.5493	0.3712	0.5493
0.807	2.0	380	0.7564	0.65	0.6417	0.65
0.6731	3.0	570	0.6962	0.6833	0.7411	0.6833
0.6579	4.0	760	0.6723	0.6987	0.7213	0.6987
0.5946	5.0	950	0.6539	0.7227	0.7377	0.7227

Framework versions

Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.19.2
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: bert
License: mit
Created: Jul 4, 2024
Updated: Jul 4, 2024