CoolFace
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Buseak/canine_sent_2604v4

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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caninesent2604v4

This model is a fine-tuned version of google/canine-s on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.0000
  • —Precision: 0.0
  • —Recall: 0.0
  • —F1: 0.0
  • —Accuracy: 1.0

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: 2
  • —evalbatchsize: 2
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 15

Training results

Training LossEpochStepValidation LossPrecisionRecallF1Accuracy
No log1.03900.00360.00.00.00.9988
0.01612.07800.00220.00.00.00.9993
0.00373.011700.00090.00.00.00.9997
0.00224.015600.00100.00.00.00.9997
0.00225.019500.00050.00.00.00.9999
0.00156.023400.00010.00.00.01.0000
0.00087.027300.00020.00.00.00.9999
0.00068.031200.00020.00.00.01.0000
0.00059.035100.00000.00.00.01.0
0.000510.039000.00000.00.00.01.0000
0.000311.042900.00000.00.00.01.0000
0.000212.046800.00000.00.00.01.0000
0.000213.050700.00000.00.00.01.0
0.000214.054600.00000.00.00.01.0
0.000115.058500.00000.00.00.01.0

Framework versions

  • —Transformers 4.28.1
  • —Pytorch 2.0.0+cu118
  • —Datasets 2.11.0
  • —Tokenizers 0.13.3