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hb_2

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metadata
license: afl-3.0
base_model: Hate-speech-CNERG/hindi-abusive-MuRIL
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: hb_2
    results: []

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