CoolFace
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ttqdunggg/cls_10_backbone_100k_v2

sourceHugging Faceagpl-3.0updated 10mo agoView on Hugging Face
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Model Card

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cls10backbone100kv2

This model is a fine-tuned version of RonTon05/model_content_V2_test on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7842
  • Accuracy: 0.7496
  • F1: 0.7665

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: 64
  • evalbatchsize: 64
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • lrschedulertype: linear
  • num_epochs: 5

Training results

Training LossEpochStepValidation LossAccuracyF1
1.44411.02751.01550.66340.4158
0.87222.05500.84390.71800.5978
0.68083.08250.84200.71210.6219
0.55894.011000.76150.74800.7606
0.48045.013750.78420.74960.7665

Framework versions

  • Transformers 4.57.1
  • Pytorch 2.6.0+cu124
  • Datasets 4.4.1
  • Tokenizers 0.22.1