hing-mbert-finetuned-non-code-mixed-DS

IIIT-L/hing-mbert-finetuned-non-code-mixed-DS

hing-mbert-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 cc-by-4.0.

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

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At a glance

Task: Text Classification
Library: transformers
License: cc-by-4.0
Model type: bert
Access: Public
Created: Sep 11, 2022
Updated: Sep 11, 2022
SHA: ec14b578

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Model card

From the Hugging Face model README

hing-mbert-finetuned-non-code-mixed-DS

This model is a fine-tuned version of l3cube-pune/hing-mbert on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.7369
Accuracy: 0.6667
Precision: 0.6553
Recall: 0.6428
F1: 0.6459

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: 4.932923543227153e-05
train_batch_size: 8
eval_batch_size: 16
seed: 43
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.9413	1.0	926	0.8472	0.6354	0.6215	0.6247	0.6225
0.7278	2.0	1852	0.8966	0.6429	0.6408	0.6094	0.6122
0.4743	3.0	2778	1.2428	0.6613	0.6502	0.6420	0.6444
0.2558	4.0	3704	1.7369	0.6667	0.6553	0.6428	0.6459

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: bert
License: cc-by-4.0
Created: Sep 11, 2022
Updated: Sep 11, 2022