roberta-large-finetuned-code-mixed-DS

IIIT-L/roberta-large-finetuned-code-mixed-DS

roberta-large-finetuned-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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At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: roberta
Access: Public
Created: Sep 30, 2022
Updated: Oct 2, 2022
SHA: 10cb3f40

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Model card

From the Hugging Face model README

roberta-large-finetuned-code-mixed-DS

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

Loss: 3.1340
Accuracy: 0.7203
Precision: 0.6584
Recall: 0.6548
F1: 0.6558

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-05
train_batch_size: 16
eval_batch_size: 32
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
0.9729	1.0	248	0.7491	0.6922	0.6434	0.6625	0.6358
0.7474	1.99	496	0.6947	0.7183	0.6712	0.6915	0.6760
0.5938	2.99	744	0.7370	0.7123	0.6624	0.6839	0.6642
0.4264	3.98	992	0.8820	0.7123	0.6540	0.6636	0.6492
0.2806	4.98	1240	1.2022	0.7404	0.6807	0.6694	0.6742
0.2239	5.98	1488	1.3933	0.7223	0.6593	0.6587	0.6568
0.1585	6.97	1736	1.8543	0.7304	0.6730	0.6763	0.6737
0.1302	7.97	1984	2.0783	0.7143	0.6495	0.6520	0.6504
0.1008	8.96	2232	2.3523	0.7183	0.6588	0.6561	0.6552
0.0793	9.96	2480	2.5260	0.7163	0.6516	0.6566	0.6538
0.0498	10.96	2728	2.6074	0.7425	0.6902	0.6817	0.6830
0.0484	11.95	2976	2.6758	0.7284	0.6687	0.6734	0.6709
0.0409	12.95	3224	2.8658	0.7425	0.6817	0.6756	0.6781
0.0239	13.94	3472	2.9484	0.7465	0.6980	0.6818	0.6870
0.025	14.94	3720	3.0827	0.7304	0.6778	0.6577	0.6641
0.0286	15.94	3968	3.0011	0.7183	0.6509	0.6475	0.6491
0.0264	16.93	4216	3.1581	0.7264	0.6645	0.6563	0.6595
0.009	17.93	4464	3.1200	0.7223	0.6589	0.6561	0.6569
0.012	18.92	4712	3.1364	0.7203	0.6573	0.6503	0.6525
0.017	19.92	4960	3.1340	0.7203	0.6584	0.6548	0.6558

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: roberta
License: mit
Created: Sep 30, 2022
Updated: Oct 2, 2022