roberta-large-finetuned-ours-DS

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

roberta-large-finetuned-ours-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: 4e47d4d6

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Model card

From the Hugging Face model README

roberta-large-finetuned-ours-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: 2.3369
Accuracy: 0.75
Precision: 0.7054
Recall: 0.6949
F1: 0.6974

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: 16
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
1.0561	0.99	99	0.8773	0.615	0.4054	0.5584	0.4591
0.762	1.98	198	0.6514	0.715	0.6735	0.6672	0.6588
0.5661	2.97	297	0.6806	0.71	0.6764	0.6608	0.6435
0.3699	3.96	396	0.8358	0.71	0.6611	0.6691	0.6570
0.2184	4.95	495	1.1627	0.7	0.6597	0.6337	0.6414
0.1743	5.94	594	1.0544	0.725	0.6831	0.6949	0.6831
0.098	6.93	693	1.4757	0.73	0.6885	0.6902	0.6892
0.0813	7.92	792	1.8146	0.73	0.6840	0.6772	0.6800
0.0435	8.91	891	1.6697	0.755	0.7141	0.7127	0.7132
0.0209	9.9	990	1.8931	0.755	0.7102	0.7070	0.7082
0.0201	10.89	1089	2.1934	0.74	0.6971	0.6866	0.6907
0.0095	11.88	1188	2.1389	0.75	0.7014	0.6915	0.6932
0.0141	12.87	1287	2.1902	0.74	0.6942	0.6943	0.6936
0.0112	13.86	1386	2.5021	0.73	0.6889	0.6669	0.6741
0.0054	14.85	1485	2.3840	0.73	0.6819	0.6715	0.6746
0.0088	15.84	1584	2.3224	0.74	0.6909	0.6825	0.6787
0.003	16.83	1683	2.2641	0.75	0.7054	0.6949	0.6974
0.0017	17.82	1782	2.3361	0.75	0.7077	0.6968	0.7012
0.0014	18.81	1881	2.3041	0.755	0.7131	0.7009	0.7051
0.0083	19.8	1980	2.3369	0.75	0.7054	0.6949	0.6974

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