CoolFace
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sooks/idbwbase

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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Model Card

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idbwbase

This model is a fine-tuned version of facebook/convnext-base-224-22k on the indianfoodimages dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.0978
  • —Accuracy: 0.9741

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: 0.0002
  • —trainbatchsize: 64
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 10
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossAccuracy
0.3731.047090.30020.8705
0.32442.094180.22620.9044
0.28013.0141270.19870.9196
0.23664.0188360.17880.9345
0.20515.0235450.14630.9484
0.17646.0282540.12020.9593
0.15957.0329630.12430.9655
0.13598.0376720.11880.9659
0.12319.0423810.09780.9741
0.116210.0470900.10010.9761

Framework versions

  • —Transformers 4.38.2
  • —Pytorch 2.2.1+cu121
  • —Datasets 2.19.0
  • —Tokenizers 0.15.2