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wsdbanglat5_F1e4

This model is a fine-tuned version of ka05ar/Banglat5_Dx1 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0014

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: 0.0001
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • 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
0.0333 1.0 1481 0.0217
0.0183 2.0 2962 0.0129
0.0071 3.0 4443 0.0026
0.0048 4.0 5924 0.0016
0.0038 5.0 7405 0.0014

Framework versions

  • Transformers 4.41.1
  • Pytorch 2.1.2
  • Datasets 2.19.1
  • Tokenizers 0.19.1
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