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SmilestheSad/distilbert-cased-sep-26

sourceHugging Faceapache-2.0updated 4y agoView on Hugging Face
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Model Card

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distilbert-cased-sep-26

This model is a fine-tuned version of distilbert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0467
  • F1: 0.9318

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: 32
  • 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 LossF1
0.11251.010780.05520.8867
0.04382.021560.04520.9180
0.02883.032340.04490.9261
0.02024.043120.04450.9309
0.01525.053900.04670.9318

Framework versions

  • Transformers 4.22.1
  • Pytorch 1.12.1+cu113
  • Datasets 2.5.1
  • Tokenizers 0.12.1