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conditional-detr-resnet-50_adamw_hf_finetuned_food-roboflow

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conditional_detr
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  1. README.md +41 -21
  2. model.safetensors +1 -1
  3. runs/Nov13_18-50-51_9bdb2166ef95/events.out.tfevents.1699901464.9bdb2166ef95.640.2 +2 -2
README.md CHANGED
@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/conditional-detr-resnet-50](https://huggingface.co/microsoft/conditional-detr-resnet-50) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 129.1634
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  ## Model description
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@@ -42,32 +42,52 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 15
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 4812.2437 | 0.77 | 50 | 3257.7490 |
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- | 2205.0228 | 1.54 | 100 | 1453.2478 |
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- | 1222.5505 | 2.31 | 150 | 949.4603 |
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- | 888.8566 | 3.08 | 200 | 721.9152 |
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- | 673.4776 | 3.85 | 250 | 580.5336 |
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- | 554.9669 | 4.62 | 300 | 477.4659 |
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- | 443.6898 | 5.38 | 350 | 398.8947 |
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- | 392.5455 | 6.15 | 400 | 337.2477 |
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- | 321.1821 | 6.92 | 450 | 288.8497 |
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- | 289.3218 | 7.69 | 500 | 250.5900 |
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- | 244.5445 | 8.46 | 550 | 220.2824 |
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- | 228.1762 | 9.23 | 600 | 196.4913 |
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- | 181.0313 | 10.0 | 650 | 177.2145 |
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- | 175.8284 | 10.77 | 700 | 162.3775 |
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- | 149.3609 | 11.54 | 750 | 150.6808 |
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- | 155.7112 | 12.31 | 800 | 141.9936 |
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- | 141.18 | 13.08 | 850 | 135.6279 |
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- | 139.506 | 13.85 | 900 | 131.5291 |
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- | 132.3059 | 14.62 | 950 | 129.1634 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [microsoft/conditional-detr-resnet-50](https://huggingface.co/microsoft/conditional-detr-resnet-50) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 10.2661
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 30
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 4448.7409 | 0.77 | 50 | 2784.9878 |
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+ | 2312.7831 | 1.54 | 100 | 1275.4084 |
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+ | 1139.5262 | 2.31 | 150 | 825.0410 |
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+ | 857.6314 | 3.08 | 200 | 626.2924 |
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+ | 630.5604 | 3.85 | 250 | 492.9028 |
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+ | 518.8461 | 4.62 | 300 | 391.5704 |
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+ | 418.3785 | 5.38 | 350 | 312.8008 |
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+ | 331.9224 | 6.15 | 400 | 250.7763 |
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+ | 261.2112 | 6.92 | 450 | 201.8681 |
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+ | 207.421 | 7.69 | 500 | 163.3361 |
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+ | 172.0157 | 8.46 | 550 | 132.3763 |
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+ | 140.2059 | 9.23 | 600 | 108.1960 |
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+ | 110.3696 | 10.0 | 650 | 89.2497 |
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+ | 95.9428 | 10.77 | 700 | 73.2426 |
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+ | 78.812 | 11.54 | 750 | 61.4362 |
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+ | 64.1493 | 12.31 | 800 | 51.2599 |
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+ | 56.184 | 13.08 | 850 | 43.4741 |
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+ | 46.7644 | 13.85 | 900 | 37.4028 |
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+ | 38.1726 | 14.62 | 950 | 32.6764 |
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+ | 34.7277 | 15.38 | 1000 | 28.1207 |
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+ | 29.9978 | 16.15 | 1050 | 25.0045 |
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+ | 27.5957 | 16.92 | 1100 | 22.3012 |
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+ | 23.6549 | 17.69 | 1150 | 19.9766 |
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+ | 21.4961 | 18.46 | 1200 | 18.2427 |
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+ | 19.3312 | 19.23 | 1250 | 16.8829 |
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+ | 17.8215 | 20.0 | 1300 | 15.5794 |
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+ | 16.2877 | 20.77 | 1350 | 14.5258 |
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+ | 16.0017 | 21.54 | 1400 | 13.5888 |
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+ | 14.6977 | 22.31 | 1450 | 13.0312 |
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+ | 13.9111 | 23.08 | 1500 | 12.4389 |
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+ | 13.5826 | 23.85 | 1550 | 11.8718 |
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+ | 12.5621 | 24.62 | 1600 | 11.6370 |
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+ | 12.1993 | 25.38 | 1650 | 11.1523 |
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+ | 12.2491 | 26.15 | 1700 | 10.8586 |
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+ | 11.5879 | 26.92 | 1750 | 10.6795 |
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+ | 11.4736 | 27.69 | 1800 | 10.5273 |
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+ | 11.5405 | 28.46 | 1850 | 10.4190 |
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+ | 11.5894 | 29.23 | 1900 | 10.3225 |
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+ | 11.0308 | 30.0 | 1950 | 10.2661 |
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  ### Framework versions
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