hing-roberta-ours-run-5

SkyR/hing-roberta-ours-run-5

hing-roberta-ours-run-5 is a text classification model from SkyR. 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: xlm-roberta
Access: Public
Created: Jan 14, 2023
Updated: Dec 20, 2023
SHA: 11d1872a

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Base models

l3cube-pune/hing-roberta

Model card

From the Hugging Face model README

hing-roberta-ours-run-5

This model is a fine-tuned version of l3cube-pune/hing-roberta on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 3.0980
Accuracy: 0.725
Precision: 0.6881
Recall: 0.6575
F1: 0.6651

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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
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
0.9336	1.0	200	0.7394	0.675	0.6450	0.6509	0.6398
0.6924	2.0	400	0.9530	0.66	0.6285	0.5845	0.5551
0.4406	3.0	600	0.8914	0.68	0.6462	0.6527	0.6479
0.2493	4.0	800	1.7083	0.68	0.6441	0.6446	0.6426
0.1231	5.0	1000	1.9496	0.695	0.6570	0.6624	0.6591
0.0788	6.0	1200	2.5025	0.67	0.6209	0.6039	0.6011
0.0408	7.0	1400	2.2651	0.695	0.6594	0.6617	0.6517
0.0434	8.0	1600	2.4072	0.725	0.6941	0.6754	0.6710
0.0074	9.0	1800	2.7817	0.7	0.6535	0.6467	0.6488
0.023	10.0	2000	2.8578	0.7	0.6470	0.6353	0.6337
0.0151	11.0	2200	2.7783	0.695	0.6457	0.6373	0.6390
0.0108	12.0	2400	2.5953	0.695	0.6563	0.6586	0.6564
0.0192	13.0	2600	3.0715	0.705	0.6631	0.6326	0.6320
0.0149	14.0	2800	3.1048	0.715	0.6769	0.6450	0.6503
0.0205	15.0	3000	2.7812	0.71	0.6657	0.6538	0.6565
0.0024	16.0	3200	2.9304	0.72	0.6796	0.6537	0.6610
0.0033	17.0	3400	2.7170	0.73	0.6899	0.6760	0.6811
0.0056	18.0	3600	2.9693	0.72	0.6783	0.6560	0.6628
0.0015	19.0	3800	3.0943	0.72	0.6825	0.6541	0.6611
0.0017	20.0	4000	3.0980	0.725	0.6881	0.6575	0.6651

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+cu116
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: xlm-roberta
License: cc-by-4.0
Created: Jan 14, 2023
Updated: Dec 20, 2023