hing-mbert-finetuned-code-mixed-DS

Dnyaneshwar/hing-mbert-finetuned-code-mixed-DS

hing-mbert-finetuned-code-mixed-DS is a text classification model from Dnyaneshwar. 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 13, 2022
Updated: Sep 13, 2022
SHA: 34d08a93

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Model card

From the Hugging Face model README

hing-mbert-finetuned-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: 1.0518
Accuracy: 0.7545
Precision: 0.7041
Recall: 0.7076
F1: 0.7053

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: 2.7277800745684633e-05
train_batch_size: 8
eval_batch_size: 8
seed: 43
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.8338	1.0	497	0.6922	0.7163	0.6697	0.6930	0.6686
0.5744	2.0	994	0.7872	0.7324	0.6786	0.6967	0.6845
0.36	3.0	1491	1.0518	0.7545	0.7041	0.7076	0.7053

Framework versions

Transformers 4.21.3
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: bert
License: cc-by-4.0
Created: Sep 13, 2022
Updated: Sep 13, 2022