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yonatanlou/BEREL-finetuned-DSS-composition-classification

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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Model Card

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BEREL-finetuned-DSS-composition-classification

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

  • —Loss: 1.5561

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: 2e-05
  • —trainbatchsize: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 7

Training results

Training LossEpochStepValidation Loss
No log1.0372.5131
No log2.0742.1557
No log3.01111.9236
No log4.01481.7455
No log5.01851.6608
No log6.02221.5844
No log7.02591.5561

Framework versions

  • —Transformers 4.41.2
  • —Pytorch 2.3.0+cu121
  • —Datasets 2.20.0
  • —Tokenizers 0.19.1