CodeWidSahi/profanity_model

1---2library_name: transformers3license: mit4base_model: ai4bharat/indic-bert5tags:6- generated_from_trainer7model-index:8- name: profanity_model9  results: []10---11 12<!-- This model card has been generated automatically according to the information the Trainer had access to. You13should probably proofread and complete it, then remove this comment. -->14 15# profanity_model16 17This model is a fine-tuned version of [ai4bharat/indic-bert](https://huggingface.co/ai4bharat/indic-bert) on the None dataset.18 19## Model description20 21More information needed22 23## Intended uses & limitations24 25More information needed26 27## Training and evaluation data28 29More information needed30 31## Training procedure32 33### Training hyperparameters34 35The following hyperparameters were used during training:36- learning_rate: 2e-0537- train_batch_size: 1638- eval_batch_size: 1639- seed: 4240- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments41- lr_scheduler_type: linear42- num_epochs: 343 44### Training results45 46 47 48### Framework versions49 50- Transformers 4.57.651- Pytorch 2.9.0+cu12652- Datasets 4.0.053- Tokenizers 0.22.254