roberta-large-finetuned-TRAC-DS

IIIT-L/roberta-large-finetuned-TRAC-DS

roberta-large-finetuned-TRAC-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: be7a51cb

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Model card

From the Hugging Face model README

roberta-large-finetuned-TRAC-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: 2.8198
Accuracy: 0.7190
Precision: 0.6955
Recall: 0.6979
F1: 0.6963

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
0.9538	1.0	612	0.8083	0.6111	0.6192	0.6164	0.5994
0.7924	2.0	1224	0.7594	0.6601	0.6688	0.6751	0.6424
0.6844	3.0	1836	0.6986	0.7042	0.6860	0.6969	0.6858
0.5715	3.99	2448	0.7216	0.7075	0.6957	0.6978	0.6925
0.45	4.99	3060	0.7963	0.7288	0.7126	0.7074	0.7073
0.352	5.99	3672	1.0824	0.7141	0.6999	0.6774	0.6818
0.2546	6.99	4284	1.0884	0.7230	0.7006	0.7083	0.7028
0.1975	7.99	4896	1.5338	0.7337	0.7090	0.7063	0.7074
0.1656	8.99	5508	1.8182	0.7100	0.6882	0.6989	0.6896
0.1358	9.98	6120	2.1623	0.7173	0.6917	0.6959	0.6934
0.1235	10.98	6732	2.3249	0.7141	0.6881	0.6914	0.6888
0.1003	11.98	7344	2.3474	0.7124	0.6866	0.6920	0.6887
0.0826	12.98	7956	2.3574	0.7083	0.6853	0.6959	0.6874
0.0727	13.98	8568	2.4989	0.7116	0.6858	0.6934	0.6883
0.0553	14.98	9180	2.8090	0.7026	0.6747	0.6710	0.6725
0.0433	15.97	9792	2.6647	0.7255	0.7010	0.7028	0.7018
0.0449	16.97	10404	2.6568	0.7247	0.7053	0.6997	0.7010
0.0373	17.97	11016	2.7632	0.7149	0.6888	0.6938	0.6909
0.0278	18.97	11628	2.8245	0.7124	0.6866	0.6930	0.6889
0.0288	19.97	12240	2.8198	0.7190	0.6955	0.6979	0.6963

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