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yonatanlou/BEREL-finetuned-DSS-maskedLM

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

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BEREL-finetuned-DSS-maskedLM

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: 4.7778

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: 10
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
No log1.0545.0213
5.50882.01085.0860
5.50883.01624.9113
5.10784.02164.8108
5.10785.02704.6747
5.04466.03244.8806
5.04467.03784.8446
4.9418.04324.6467
4.9419.04864.6849
4.975510.05404.6798

Framework versions

  • —Transformers 4.44.2
  • —Pytorch 2.4.0+cu121
  • —Datasets 2.21.0
  • —Tokenizers 0.19.1