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fia24/annotator_banel

sourceHugging Faceupdated 3y agoView on Hugging Face
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Model Card

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annotator_banel

This model is a fine-tuned version of csebuetnlp/banglat5 on an unknown dataset. It achieves the following results on the evaluation set:

  • —eval_loss: 0.2899
  • —eval_Val Accuracy: 0.9025
  • —evalgenlen: 2.277
  • —eval_runtime: 24.4481
  • —evalsamplesper_second: 91.418
  • —evalstepsper_second: 2.863
  • —epoch: 18.0
  • —step: 1008

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: 360
  • —evalbatchsize: 32
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 50

Framework versions

  • —Transformers 4.35.0
  • —Pytorch 1.13.1+cu117
  • —Datasets 2.14.6
  • —Tokenizers 0.14.1