CoolFace
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ProceduralTree/HW3

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

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HW3

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: 1.3128
  • —Accuracy: 0.3355

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: 5e-05
  • —trainbatchsize: 4
  • —evalbatchsize: 4
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 2

Training results

Training LossEpochStepValidation LossAccuracy
1.34671.015041.31950.3174
1.30422.030081.31280.3355

Framework versions

  • —Transformers 4.25.1
  • —Pytorch 1.13.0+cu116
  • —Datasets 2.8.0
  • —Tokenizers 0.13.2