IIIT-L / hing-mbert-finetuned-ours-DS

huggingface.co
Total runs: 7
24-hour runs: 0
7-day runs: -1
30-day runs: -13
Model's Last Updated: September 12 2022
text-classification

Introduction of hing-mbert-finetuned-ours-DS

Model Details of hing-mbert-finetuned-ours-DS

hing-mbert-finetuned-ours-DS

This model is a fine-tuned version of l3cube-pune/hing-mbert on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.1569
  • Accuracy: 0.71
  • Precision: 0.6665
  • Recall: 0.6668
  • F1: 0.6658
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: 2.824279936868144e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 43
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5
Training results
Training Loss Epoch Step Validation Loss Accuracy Precision Recall F1
0.7704 1.99 199 0.7093 0.68 0.6679 0.6463 0.6309
0.2597 3.98 398 1.1569 0.71 0.6665 0.6668 0.6658
Framework versions
  • Transformers 4.20.1
  • Pytorch 1.10.1+cu111
  • Datasets 2.3.2
  • Tokenizers 0.12.1

Runs of IIIT-L hing-mbert-finetuned-ours-DS on huggingface.co

7
Total runs
0
24-hour runs
-1
3-day runs
-1
7-day runs
-13
30-day runs

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