roberta-large-finetuned-non-code-mixed-DS

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

roberta-large-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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At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: roberta
Access: Public
Created: Oct 1, 2022
Updated: Oct 1, 2022
SHA: ec6b897c

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Model card

From the Hugging Face model README

roberta-large-finetuned-non-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: 3.1265
Accuracy: 0.6936
Precision: 0.6794
Recall: 0.6782
F1: 0.6784

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
lr_scheduler_warmup_ratio: 0.1
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
1.0688	1.0	463	0.8847	0.6127	0.6038	0.6032	0.6014
0.8226	2.0	926	0.7622	0.6796	0.6769	0.6822	0.6716
0.6844	2.99	1389	0.8391	0.6828	0.6718	0.6563	0.6602
0.536	3.99	1852	0.8218	0.6990	0.6950	0.6807	0.6844
0.3938	4.99	2315	0.9616	0.6958	0.6967	0.7056	0.6880
0.2674	5.99	2778	1.1389	0.7033	0.6868	0.6895	0.6879
0.2073	6.98	3241	1.5578	0.6915	0.6786	0.6807	0.6792
0.1641	7.98	3704	1.9538	0.6850	0.6734	0.6715	0.6717
0.1394	8.98	4167	2.3230	0.6893	0.6733	0.6742	0.6736
0.1248	9.98	4630	2.4050	0.6936	0.6824	0.6819	0.6815
0.1002	10.98	5093	2.4227	0.6947	0.6832	0.6932	0.6795
0.0776	11.97	5556	2.5782	0.7012	0.6876	0.6923	0.6887
0.0685	12.97	6019	2.7967	0.6915	0.6836	0.6930	0.6820
0.045	13.97	6482	2.8884	0.7044	0.6873	0.6855	0.6863
0.0462	14.97	6945	2.9528	0.6947	0.6754	0.6749	0.6751
0.0444	15.97	7408	3.0356	0.6904	0.6778	0.6805	0.6778
0.0343	16.96	7871	3.0123	0.6936	0.6784	0.6762	0.6771
0.0245	17.96	8334	3.0160	0.6893	0.6720	0.6735	0.6727
0.0198	18.96	8797	3.1597	0.6904	0.6741	0.6727	0.6732
0.0189	19.96	9260	3.1265	0.6936	0.6794	0.6782	0.6784

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: Oct 1, 2022
Updated: Oct 1, 2022