hing-roberta-CM-run-3

dipteshkanojia/hing-roberta-CM-run-3

hing-roberta-CM-run-3 is a text classification model from dipteshkanojia. 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 30, 2023
SHA: 6c5d6a4f

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Base models

l3cube-pune/hing-roberta

Model card

From the Hugging Face model README

hing-roberta-CM-run-3

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: 2.6968
Accuracy: 0.7565
Precision: 0.7045
Recall: 0.7064
F1: 0.7050

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: 3e-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
0.8232	1.0	497	0.7145	0.6620	0.6319	0.6585	0.6167
0.5799	2.0	994	0.7155	0.7203	0.6718	0.6928	0.6672
0.4152	3.0	1491	0.8823	0.7485	0.6962	0.7136	0.7022
0.2657	4.0	1988	1.4502	0.7465	0.6945	0.7037	0.6968
0.16	5.0	2485	2.0667	0.7465	0.6890	0.6827	0.6855
0.0945	6.0	2982	2.0120	0.7565	0.7091	0.7159	0.7103
0.0802	7.0	3479	2.2426	0.7686	0.7253	0.7065	0.7088
0.059	8.0	3976	2.3472	0.7425	0.6844	0.6881	0.6861
0.041	9.0	4473	2.4801	0.7666	0.7258	0.7144	0.7145
0.0307	10.0	4970	2.6317	0.7545	0.7102	0.7021	0.7019
0.0471	11.0	5467	2.4626	0.7364	0.6836	0.6780	0.6788
0.0282	12.0	5964	2.3949	0.7586	0.7067	0.7108	0.7087
0.0267	13.0	6461	2.4750	0.7465	0.6938	0.6921	0.6921
0.0274	14.0	6958	2.5942	0.7565	0.7022	0.7062	0.7039
0.0212	15.0	7455	2.6728	0.7404	0.6851	0.6893	0.6867
0.026	16.0	7952	2.6683	0.7565	0.7064	0.7122	0.7085
0.0175	17.0	8449	2.6646	0.7505	0.7030	0.7087	0.7039
0.0126	18.0	8946	2.6948	0.7565	0.7021	0.7039	0.7030
0.0065	19.0	9443	2.6984	0.7565	0.7045	0.7064	0.7050
0.0103	20.0	9940	2.6968	0.7565	0.7045	0.7064	0.7050

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: xlm-roberta
License: cc-by-4.0
Created: Jan 14, 2023
Updated: Dec 30, 2023