hb_2

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