mbert-hatespeechdetection-telugu

ramesh070/mbert-hatespeechdetection-telugu

mbert-hatespeechdetection-telugu is a text classification model from ramesh070. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Dec 11, 2025
Updated: Dec 11, 2025
SHA: fd0b4ca9

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Base models

google-bert/bert-base-multilingual-cased

Model card

From the Hugging Face model README

mbert-hatespeechdetection-telugu

This model is a fine-tuned version of google-bert/bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4645
Accuracy: 0.9286
F1: 0.9459

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: 2e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.6103	1.0	14	0.5045	0.6429	0.7826
0.5228	2.0	28	0.4161	0.7679	0.8354
0.4483	3.0	42	0.3746	0.8393	0.8571
0.4312	4.0	56	0.3793	0.7857	0.8
0.3572	5.0	70	0.3443	0.8571	0.8824
0.2675	6.0	84	0.2686	0.875	0.8923
0.2355	7.0	98	0.3259	0.8393	0.8571
0.1627	8.0	112	0.2204	0.875	0.8986
0.1151	9.0	126	0.2648	0.8929	0.9091
0.1126	10.0	140	0.3640	0.8393	0.8657
0.0257	11.0	154	0.2720	0.9107	0.9333
0.0065	12.0	168	0.4303	0.8929	0.9211
0.0303	13.0	182	0.4108	0.9286	0.9459
0.0016	14.0	196	0.4924	0.9107	0.9333
0.0126	15.0	210	0.4652	0.9107	0.9315
0.0047	16.0	224	0.4827	0.9107	0.9315
0.0009	17.0	238	0.4614	0.9286	0.9459
0.0008	18.0	252	0.4613	0.9286	0.9459
0.0007	19.0	266	0.4634	0.9286	0.9459
0.0007	20.0	280	0.4645	0.9286	0.9459

Framework versions

Transformers 4.53.3
Pytorch 2.9.1+cu128
Datasets 4.4.1
Tokenizers 0.21.2

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Dec 11, 2025
Updated: Dec 11, 2025