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yonatanlou/dictabert-finetuned-DSS-maskedLM

sourceHugging Facecc-by-4.0updated 2y agoView on Hugging Face
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Model Card

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dictabert-finetuned-DSS-maskedLM

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

  • —Loss: 5.3388

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 log1.0416.0433
No log2.0825.8170
6.33013.01235.6181
6.33014.01645.5065
5.59315.02055.4590
5.59316.02465.3916
5.59317.02875.3183
5.37748.03285.4265
5.37749.03695.4255
5.287710.04105.2991

Framework versions

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