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rishikeshgautam/nepali-grammar-20250215_1722

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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Model Card

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nepali-grammar-20250215_1722

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

  • —Loss: 0.2446
  • —Accuracy: 0.9093
  • —F1: 0.9171
  • —Precision: 0.9510
  • —Recall: 0.8856

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: 3e-05
  • —trainbatchsize: 64
  • —evalbatchsize: 128
  • —seed: 42
  • —gradientaccumulationsteps: 2
  • —totaltrainbatch_size: 128
  • —optimizer: Use adamwtorchfused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • —lrschedulertype: linear
  • —lrschedulerwarmup_ratio: 0.1
  • —num_epochs: 3
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossAccuracyF1PrecisionRecall
0.251.0140630.24470.90360.91130.95240.8736
0.21062.0281260.23750.90880.91670.94970.8859
0.18112.9998421860.24460.90930.91710.95100.8856

Framework versions

  • —Transformers 4.47.0
  • —Pytorch 2.5.1+cu121
  • —Datasets 3.2.0
  • —Tokenizers 0.21.0