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kariver/conditional-detr-resnet-50_adamw_hf_finetuned_food-roboflow

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

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conditional-detr-resnet-50adamwhffinetunedfood-roboflow

This model is a fine-tuned version of microsoft/conditional-detr-resnet-50 on the imagefolder dataset. It achieves the following results on the evaluation set:

  • —Loss: 10.2661

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: 1e-05
  • —trainbatchsize: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 30
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
4448.74090.77502784.9878
2312.78311.541001275.4084
1139.52622.31150825.0410
857.63143.08200626.2924
630.56043.85250492.9028
518.84614.62300391.5704
418.37855.38350312.8008
331.92246.15400250.7763
261.21126.92450201.8681
207.4217.69500163.3361
172.01578.46550132.3763
140.20599.23600108.1960
110.369610.065089.2497
95.942810.7770073.2426
78.81211.5475061.4362
64.149312.3180051.2599
56.18413.0885043.4741
46.764413.8590037.4028
38.172614.6295032.6764
34.727715.38100028.1207
29.997816.15105025.0045
27.595716.92110022.3012
23.654917.69115019.9766
21.496118.46120018.2427
19.331219.23125016.8829
17.821520.0130015.5794
16.287720.77135014.5258
16.001721.54140013.5888
14.697722.31145013.0312
13.911123.08150012.4389
13.582623.85155011.8718
12.562124.62160011.6370
12.199325.38165011.1523
12.249126.15170010.8586
11.587926.92175010.6795
11.473627.69180010.5273
11.540528.46185010.4190
11.589429.23190010.3225
11.030830.0195010.2661

Framework versions

  • —Transformers 4.35.0
  • —Pytorch 2.1.0+cu118
  • —Datasets 2.14.6
  • —Tokenizers 0.14.1