indic-bert-finetuned-non-code-mixed-DS

IIIT-L/indic-bert-finetuned-non-code-mixed-DS

indic-bert-finetuned-non-code-mixed-DS is a text classification model from IIIT-L. 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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Model card

From the Hugging Face model README

indic-bert-finetuned-non-code-mixed-DS

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: 0.9997
Accuracy: 0.5620
Precision: 0.5591
Recall: 0.5203
F1: 0.5078

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: 1e-06
train_batch_size: 32
eval_batch_size: 16
seed: 43
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
1.0673	3.99	926	1.0361	0.4142	0.4092	0.3851	0.2750
1.0144	7.98	1852	1.0147	0.5146	0.5851	0.4714	0.4184
0.9882	11.97	2778	1.0045	0.5599	0.5728	0.5191	0.5047
0.9699	15.97	3704	1.0004	0.5642	0.5620	0.5264	0.5193
0.9591	19.96	4630	0.9997	0.5620	0.5591	0.5203	0.5078

Framework versions

Transformers 4.20.1
Pytorch 1.10.1+cu111
Datasets 2.3.2
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: albert
License: mit
Created: Sep 28, 2022
Updated: Aug 8, 2023