This model is a fine-tuned version of Hate-speech-CNERG/hindi-abusive-MuRIL on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0667
Accuracy: 0.9914

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	44	0.1317	0.9698
No log	2.0	88	0.0761	0.9914
No log	3.0	132	0.0667	0.9914

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

samhitmantrala/hb_2

hb_2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

samhitmantrala/
hb_2