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muril_classification

Text Classification
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bert
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metadata
license: apache-2.0
base_model: google/muril-base-cased
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: muril_classification
    results: []

muril_classification

This model is a fine-tuned version of google/muril-base-cased on Hate and Offensive Comments dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4072
  • Accuracy: 0.843

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: 2

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.6127 1.0 625 0.4807 0.809
0.4818 2.0 1250 0.4072 0.843

Framework versions

  • Transformers 4.32.1
  • Pytorch 2.2.1+cpu
  • Datasets 2.12.0
  • Tokenizers 0.13.2