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metadata
license: cc-by-4.0
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - precision
  - recall
  - f1
model-index:
  - name: hing-roberta-finetuned-non-code-mixed-DS
    results: []

hing-roberta-finetuned-non-code-mixed-DS

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

  • Loss: 1.1286
  • Accuracy: 0.6656
  • Precision: 0.6575
  • Recall: 0.6554
  • F1: 0.6556

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
0.8233 2.0 926 0.8104 0.6656 0.6607 0.6537 0.6555
0.3924 3.99 1852 1.1286 0.6656 0.6575 0.6554 0.6556

Framework versions

  • Transformers 4.20.1
  • Pytorch 1.10.1+cu111
  • Datasets 2.3.2
  • Tokenizers 0.12.1