CoolFace
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nizarh1999/final_classifications

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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final_classifications

This model is a fine-tuned version of yhavinga/t5-small-24L-ccmatrix-multi on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.1005
  • —F1: {'f1': 0.9592760180995475}
  • —Precision: {'precision': 0.954954954954955}
  • —Recall: {'recall': 0.9636363636363636}

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: 0.0001
  • —trainbatchsize: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 6

Training results

Training LossEpochStepValidation LossF1PrecisionRecall
No log1.01100.2362{'f1': 0.0}{'precision': 0.0}{'recall': 0.0}
No log2.02200.1164{'f1': 0.9502262443438914}{'precision': 0.9459459459459459}{'recall': 0.9545454545454546}
No log3.03300.0832{'f1': 0.9596412556053813}{'precision': 0.9469026548672567}{'recall': 0.9727272727272728}
No log4.04400.0918{'f1': 0.9549549549549549}{'precision': 0.9464285714285714}{'recall': 0.9636363636363636}
0.15545.05500.0939{'f1': 0.9596412556053813}{'precision': 0.9469026548672567}{'recall': 0.9727272727272728}
0.15546.06600.1005{'f1': 0.9592760180995475}{'precision': 0.954954954954955}{'recall': 0.9636363636363636}

Framework versions

  • —Transformers 4.40.1
  • —Pytorch 2.2.1+cu121
  • —Datasets 2.19.0
  • —Tokenizers 0.19.1