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--- |
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license: apache-2.0 |
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base_model: microsoft/conditional-detr-resnet-50 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- imagefolder |
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model-index: |
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- name: conditional-detr-resnet-50_adamw_hf_finetuned_food-roboflow |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# conditional-detr-resnet-50_adamw_hf_finetuned_food-roboflow |
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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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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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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- Transformers 4.35.0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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