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fia24/filtered_annotated94k_banglat5

sourceHugging Faceupdated 3y agoView on Hugging Face
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Model Card

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filteredannotated94kbanglat5

This model is a fine-tuned version of csebuetnlp/banglat5 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1241
  • Val accuracy: 0.9387
  • Gen Len: 2.6493

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: 0.0005
  • trainbatchsize: 300
  • evalbatchsize: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • num_epochs: 5

Training results

Training LossEpochStepValidation LossVal accuracyGen Len
No log1.02530.19690.89792.6679
1.09472.05060.14000.9242.6558
1.09473.07590.12800.93242.653
0.12814.010120.12500.93592.6522
0.12815.012650.12410.93872.6493

Framework versions

  • Transformers 4.35.2
  • Pytorch 1.13.1+cu117
  • Datasets 2.17.0
  • Tokenizers 0.15.1