CoolFace
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anth0nyhak1m/CFGFP_BasicTypeCalssifier_v1

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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Model Card

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CFGFPBasicTypeCalssifierv1

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

  • —Loss: 0.5075
  • —Accuracy: 0.9120

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: 5

Training results

Training LossEpochStepValidation LossAccuracy
1.06271.035880.95200.8411
0.65472.071760.65710.8885
0.48023.0107640.55720.9020
0.38044.0143520.51330.9089
0.30775.0179400.50750.9120

Framework versions

  • —Transformers 4.28.0
  • —Pytorch 2.0.1+cu118
  • —Datasets 2.13.1
  • —Tokenizers 0.13.3