Model save
Browse files- README.md +172 -0
- config.json +63 -0
- model.safetensors +3 -0
- preprocessor_config.json +29 -0
- runs/Jul26_10-19-03_sonoma.local/events.out.tfevents.1721963959.sonoma.local.17727.0 +3 -0
- training_args.bin +3 -0
README.md
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---
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license: apache-2.0
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base_model: facebook/detr-resnet-50
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tags:
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- generated_from_trainer
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model-index:
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- name: detr-finetuned-cppe-5-10k-steps
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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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# detr-finetuned-cppe-5-10k-steps
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This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.3774
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- Map: 0.0076
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- Map 50: 0.0237
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- Map 75: 0.0004
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- Map Small: 0.0
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- Map Medium: 0.0117
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- Map Large: 0.0
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- Mar 1: 0.0014
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- Mar 10: 0.0459
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- Mar 100: 0.0622
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- Mar Small: 0.0
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- Mar Medium: 0.0958
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- Mar Large: 0.0
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- Map Table: 0.0
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- Mar 100 Table: 0.0
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- Map Text: 0.0152
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- Mar 100 Text: 0.1243
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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: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 1337
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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: 100.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Map | Map 50 | Map 75 | Map Small | Map Medium | Map Large | Mar 1 | Mar 10 | Mar 100 | Mar Small | Mar Medium | Mar Large | Map Table | Mar 100 Table | Map Text | Mar 100 Text |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:---------:|:-------------:|:--------:|:------------:|
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| 6.2935 | 1.0 | 5 | 5.7125 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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| 5.6711 | 2.0 | 10 | 5.4708 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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| 5.3937 | 3.0 | 15 | 5.2153 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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| 5.001 | 4.0 | 20 | 4.8025 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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| 4.8611 | 5.0 | 25 | 4.6390 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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| 4.6947 | 6.0 | 30 | 4.2093 | 0.0 | 0.0002 | 0.0 | 0.0 | 0.0 | 0.0021 | 0.0 | 0.0 | 0.0027 | 0.0 | 0.0 | 0.1 | 0.0 | 0.0 | 0.0001 | 0.0054 |
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| 4.1881 | 7.0 | 35 | 3.8453 | 0.0003 | 0.0031 | 0.0 | 0.0 | 0.0006 | 0.0012 | 0.0 | 0.0014 | 0.0054 | 0.0 | 0.0021 | 0.15 | 0.0 | 0.0 | 0.0007 | 0.0108 |
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| 3.9652 | 8.0 | 40 | 4.0073 | 0.003 | 0.0182 | 0.0 | 0.0 | 0.0052 | 0.0017 | 0.0014 | 0.0081 | 0.0122 | 0.0 | 0.0125 | 0.15 | 0.0 | 0.0 | 0.0059 | 0.0243 |
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| 3.9875 | 9.0 | 45 | 4.0535 | 0.0001 | 0.0005 | 0.0001 | 0.0 | 0.0001 | 0.0019 | 0.0 | 0.0 | 0.0122 | 0.0 | 0.0063 | 0.3 | 0.0 | 0.0 | 0.0002 | 0.0243 |
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| 4.041 | 10.0 | 50 | 4.0097 | 0.0002 | 0.0017 | 0.0 | 0.0 | 0.0004 | 0.0009 | 0.0 | 0.0 | 0.0081 | 0.0 | 0.0083 | 0.1 | 0.0 | 0.0 | 0.0003 | 0.0162 |
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| 3.959 | 11.0 | 55 | 3.8365 | 0.0005 | 0.0021 | 0.0 | 0.0 | 0.0012 | 0.0003 | 0.0 | 0.0068 | 0.0122 | 0.0 | 0.0167 | 0.05 | 0.0 | 0.0 | 0.0009 | 0.0243 |
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| 3.8681 | 12.0 | 60 | 3.6800 | 0.0007 | 0.0041 | 0.0 | 0.0 | 0.0014 | 0.001 | 0.0 | 0.0068 | 0.0149 | 0.0 | 0.0167 | 0.15 | 0.0 | 0.0 | 0.0013 | 0.0297 |
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| 3.7309 | 13.0 | 65 | 3.6922 | 0.0029 | 0.0249 | 0.0 | 0.0 | 0.0068 | 0.0008 | 0.0014 | 0.0081 | 0.0189 | 0.0 | 0.025 | 0.1 | 0.0 | 0.0 | 0.0058 | 0.0378 |
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| 3.647 | 14.0 | 70 | 3.7221 | 0.0024 | 0.0158 | 0.0 | 0.0 | 0.0045 | 0.0016 | 0.0014 | 0.0108 | 0.0162 | 0.0 | 0.0167 | 0.2 | 0.0 | 0.0 | 0.0048 | 0.0324 |
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| 3.6564 | 15.0 | 75 | 3.6637 | 0.0007 | 0.0048 | 0.0 | 0.0 | 0.0012 | 0.0025 | 0.0014 | 0.0054 | 0.0189 | 0.0 | 0.0229 | 0.15 | 0.0 | 0.0 | 0.0014 | 0.0378 |
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| 3.5905 | 16.0 | 80 | 3.6443 | 0.0078 | 0.0179 | 0.0 | 0.0 | 0.0116 | 0.0074 | 0.0135 | 0.0203 | 0.023 | 0.0 | 0.0312 | 0.1 | 0.0 | 0.0 | 0.0157 | 0.0459 |
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| 3.8091 | 17.0 | 85 | 3.8066 | 0.0018 | 0.0122 | 0.0 | 0.0 | 0.003 | 0.0 | 0.0041 | 0.0108 | 0.0108 | 0.0 | 0.0167 | 0.0 | 0.0 | 0.0 | 0.0035 | 0.0216 |
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| 3.8171 | 18.0 | 90 | 3.6044 | 0.0006 | 0.0032 | 0.0 | 0.0 | 0.0012 | 0.0 | 0.0 | 0.0054 | 0.0095 | 0.0 | 0.0146 | 0.0 | 0.0 | 0.0 | 0.0013 | 0.0189 |
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| 3.7048 | 19.0 | 95 | 3.6161 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0018 | 0.0 | 0.0 | 0.0068 | 0.0 | 0.0 | 0.25 | 0.0 | 0.0 | 0.0 | 0.0135 |
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| 3.8635 | 20.0 | 100 | 3.6542 | 0.0004 | 0.0015 | 0.0 | 0.0 | 0.0009 | 0.0 | 0.0 | 0.0054 | 0.0095 | 0.0 | 0.0146 | 0.0 | 0.0 | 0.0 | 0.0009 | 0.0189 |
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| 3.7021 | 21.0 | 105 | 4.0802 | 0.0032 | 0.016 | 0.0 | 0.0 | 0.0053 | 0.0 | 0.0027 | 0.0068 | 0.0108 | 0.0 | 0.0167 | 0.0 | 0.0 | 0.0 | 0.0064 | 0.0216 |
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| 3.7035 | 22.0 | 110 | 4.0508 | 0.0006 | 0.0041 | 0.0 | 0.0 | 0.001 | 0.0 | 0.0 | 0.0014 | 0.0162 | 0.0 | 0.025 | 0.0 | 0.0 | 0.0 | 0.0012 | 0.0324 |
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| 3.6404 | 23.0 | 115 | 4.1771 | 0.0013 | 0.0057 | 0.0005 | 0.0 | 0.0022 | 0.0 | 0.0068 | 0.0162 | 0.0189 | 0.0 | 0.0292 | 0.0 | 0.0 | 0.0 | 0.0027 | 0.0378 |
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| 3.7922 | 24.0 | 120 | 4.4617 | 0.006 | 0.0149 | 0.0 | 0.0 | 0.0099 | 0.0 | 0.0054 | 0.0054 | 0.0095 | 0.0 | 0.0146 | 0.0 | 0.0 | 0.0 | 0.0119 | 0.0189 |
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| 3.7619 | 25.0 | 125 | 3.8533 | 0.001 | 0.0026 | 0.0 | 0.0 | 0.0053 | 0.0008 | 0.0 | 0.0108 | 0.0135 | 0.0 | 0.0167 | 0.1 | 0.0 | 0.0 | 0.0019 | 0.027 |
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| 3.804 | 26.0 | 130 | 3.7589 | 0.001 | 0.0073 | 0.0 | 0.0 | 0.0036 | 0.0 | 0.0 | 0.0081 | 0.0122 | 0.0 | 0.0188 | 0.0 | 0.0 | 0.0 | 0.0021 | 0.0243 |
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| 3.7785 | 27.0 | 135 | 3.6378 | 0.003 | 0.0197 | 0.0 | 0.0 | 0.01 | 0.0003 | 0.0027 | 0.0162 | 0.0189 | 0.0 | 0.0271 | 0.05 | 0.0 | 0.0 | 0.006 | 0.0378 |
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| 3.726 | 28.0 | 140 | 3.7696 | 0.0003 | 0.0021 | 0.0001 | 0.0 | 0.0009 | 0.0 | 0.0 | 0.0041 | 0.0149 | 0.0 | 0.0229 | 0.0 | 0.0 | 0.0 | 0.0006 | 0.0297 |
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| 3.682 | 29.0 | 145 | 3.8782 | 0.0003 | 0.0006 | 0.0003 | 0.0 | 0.001 | 0.0 | 0.0 | 0.0081 | 0.0108 | 0.0 | 0.0167 | 0.0 | 0.0 | 0.0 | 0.0006 | 0.0216 |
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| 3.7331 | 30.0 | 150 | 4.3841 | 0.0005 | 0.0027 | 0.0 | 0.0 | 0.002 | 0.0009 | 0.0 | 0.0081 | 0.0189 | 0.0 | 0.025 | 0.1 | 0.0 | 0.0 | 0.001 | 0.0378 |
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| 3.7627 | 31.0 | 155 | 4.7688 | 0.0007 | 0.0054 | 0.0 | 0.0 | 0.003 | 0.0 | 0.0 | 0.0081 | 0.0189 | 0.0 | 0.0292 | 0.0 | 0.0 | 0.0 | 0.0015 | 0.0378 |
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| 3.8656 | 32.0 | 160 | 5.0427 | 0.0009 | 0.0046 | 0.0 | 0.0 | 0.0039 | 0.0007 | 0.0 | 0.0027 | 0.0324 | 0.0 | 0.0417 | 0.2 | 0.0 | 0.0 | 0.0018 | 0.0649 |
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| 3.8845 | 33.0 | 165 | 4.1952 | 0.0012 | 0.0056 | 0.0 | 0.0 | 0.0027 | 0.0 | 0.0 | 0.0108 | 0.0243 | 0.0 | 0.0375 | 0.0 | 0.0 | 0.0 | 0.0024 | 0.0486 |
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| 3.8416 | 34.0 | 170 | 4.1403 | 0.0048 | 0.0128 | 0.0006 | 0.0 | 0.0118 | 0.0048 | 0.0 | 0.0311 | 0.0703 | 0.0 | 0.1021 | 0.15 | 0.0 | 0.0 | 0.0096 | 0.1405 |
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| 3.807 | 35.0 | 175 | 4.6646 | 0.0031 | 0.0218 | 0.0002 | 0.0 | 0.0103 | 0.0125 | 0.0014 | 0.0176 | 0.05 | 0.0 | 0.075 | 0.05 | 0.0 | 0.0 | 0.0062 | 0.1 |
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| 3.8728 | 36.0 | 180 | 4.5890 | 0.0009 | 0.0039 | 0.0004 | 0.0 | 0.002 | 0.0 | 0.0 | 0.0014 | 0.0432 | 0.0 | 0.0667 | 0.0 | 0.0 | 0.0 | 0.0018 | 0.0865 |
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| 3.7952 | 37.0 | 185 | 4.0300 | 0.0013 | 0.0048 | 0.0007 | 0.0 | 0.0023 | 0.0 | 0.0 | 0.0176 | 0.023 | 0.0 | 0.0354 | 0.0 | 0.0 | 0.0 | 0.0025 | 0.0459 |
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| 3.725 | 38.0 | 190 | 3.9829 | 0.0003 | 0.0025 | 0.0001 | 0.0 | 0.0005 | 0.0 | 0.0 | 0.0014 | 0.0135 | 0.0 | 0.0208 | 0.0 | 0.0 | 0.0 | 0.0006 | 0.027 |
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| 3.6884 | 39.0 | 195 | 3.7402 | 0.0008 | 0.0036 | 0.0 | 0.0 | 0.0009 | 0.0119 | 0.0 | 0.0014 | 0.027 | 0.0 | 0.0333 | 0.2 | 0.0 | 0.0 | 0.0016 | 0.0541 |
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| 3.6963 | 40.0 | 200 | 3.4723 | 0.0002 | 0.0015 | 0.0 | 0.0 | 0.0004 | 0.0 | 0.0 | 0.0 | 0.0081 | 0.0 | 0.0125 | 0.0 | 0.0 | 0.0 | 0.0004 | 0.0162 |
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| 3.7368 | 41.0 | 205 | 3.6067 | 0.0 | 0.0004 | 0.0 | 0.0 | 0.0001 | 0.0 | 0.0 | 0.0 | 0.0027 | 0.0 | 0.0042 | 0.0 | 0.0 | 0.0 | 0.0001 | 0.0054 |
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| 3.7349 | 42.0 | 210 | 3.6135 | 0.0 | 0.0002 | 0.0 | 0.0 | 0.0 | 0.0012 | 0.0 | 0.0014 | 0.0014 | 0.0 | 0.0 | 0.05 | 0.0 | 0.0 | 0.0 | 0.0027 |
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| 3.6353 | 43.0 | 215 | 3.5835 | 0.0018 | 0.0062 | 0.0014 | 0.0 | 0.0074 | 0.0 | 0.0 | 0.0122 | 0.027 | 0.0 | 0.0417 | 0.0 | 0.0 | 0.0 | 0.0036 | 0.0541 |
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| 3.6948 | 44.0 | 220 | 3.7714 | 0.0023 | 0.0077 | 0.0001 | 0.0 | 0.0045 | 0.0 | 0.0 | 0.0162 | 0.0324 | 0.0 | 0.05 | 0.0 | 0.0 | 0.0 | 0.0046 | 0.0649 |
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| 3.7546 | 45.0 | 225 | 3.9600 | 0.0074 | 0.0207 | 0.0 | 0.0 | 0.0126 | 0.0 | 0.0054 | 0.0189 | 0.0243 | 0.0 | 0.0375 | 0.0 | 0.0 | 0.0 | 0.0149 | 0.0486 |
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| 3.6691 | 46.0 | 230 | 3.8211 | 0.0018 | 0.0094 | 0.0 | 0.0 | 0.0037 | 0.0 | 0.0 | 0.0095 | 0.0297 | 0.0 | 0.0458 | 0.0 | 0.0 | 0.0 | 0.0037 | 0.0595 |
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| 3.5355 | 47.0 | 235 | 3.6537 | 0.0006 | 0.0036 | 0.0001 | 0.0 | 0.0017 | 0.0 | 0.0 | 0.0068 | 0.0216 | 0.0 | 0.0333 | 0.0 | 0.0 | 0.0 | 0.0012 | 0.0432 |
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| 3.5232 | 48.0 | 240 | 3.5552 | 0.0004 | 0.002 | 0.0 | 0.0 | 0.0018 | 0.0 | 0.0 | 0.0027 | 0.0149 | 0.0 | 0.0229 | 0.0 | 0.0 | 0.0 | 0.0008 | 0.0297 |
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| 3.48 | 49.0 | 245 | 3.4924 | 0.0014 | 0.0126 | 0.0 | 0.0 | 0.0043 | 0.0017 | 0.0014 | 0.0108 | 0.0122 | 0.0 | 0.0167 | 0.05 | 0.0 | 0.0 | 0.0028 | 0.0243 |
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| 3.6056 | 50.0 | 250 | 3.4697 | 0.0007 | 0.0024 | 0.0 | 0.0 | 0.0019 | 0.0002 | 0.0 | 0.0095 | 0.0122 | 0.0 | 0.0167 | 0.05 | 0.0 | 0.0 | 0.0014 | 0.0243 |
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| 3.4806 | 51.0 | 255 | 3.5357 | 0.0045 | 0.0339 | 0.0 | 0.0 | 0.0129 | 0.0006 | 0.0014 | 0.023 | 0.0284 | 0.0 | 0.0417 | 0.05 | 0.0 | 0.0 | 0.0091 | 0.0568 |
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| 3.5547 | 52.0 | 260 | 3.5216 | 0.0016 | 0.0141 | 0.0 | 0.0 | 0.004 | 0.0021 | 0.0 | 0.0108 | 0.0257 | 0.0 | 0.0292 | 0.25 | 0.0 | 0.0 | 0.0032 | 0.0514 |
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| 3.483 | 53.0 | 265 | 3.4858 | 0.0048 | 0.028 | 0.0005 | 0.0 | 0.0077 | 0.0 | 0.0 | 0.0311 | 0.0405 | 0.0 | 0.0625 | 0.0 | 0.0 | 0.0 | 0.0095 | 0.0811 |
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| 3.6952 | 54.0 | 270 | 3.4944 | 0.0083 | 0.0661 | 0.0 | 0.0 | 0.0131 | 0.0 | 0.0041 | 0.027 | 0.0284 | 0.0 | 0.0437 | 0.0 | 0.0 | 0.0 | 0.0165 | 0.0568 |
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| 3.5447 | 55.0 | 275 | 3.5247 | 0.0049 | 0.0251 | 0.0 | 0.0 | 0.0079 | 0.0 | 0.0027 | 0.0176 | 0.0257 | 0.0 | 0.0396 | 0.0 | 0.0 | 0.0 | 0.0099 | 0.0514 |
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| 3.6204 | 56.0 | 280 | 3.5457 | 0.0069 | 0.0452 | 0.0 | 0.0 | 0.0168 | 0.0 | 0.0068 | 0.0135 | 0.0257 | 0.0 | 0.0396 | 0.0 | 0.0 | 0.0 | 0.0137 | 0.0514 |
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| 3.3873 | 57.0 | 285 | 3.4963 | 0.0134 | 0.0576 | 0.0 | 0.0 | 0.0218 | 0.0 | 0.0081 | 0.0365 | 0.0473 | 0.0 | 0.0729 | 0.0 | 0.0 | 0.0 | 0.0268 | 0.0946 |
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| 3.5384 | 58.0 | 290 | 3.5618 | 0.0016 | 0.0083 | 0.0 | 0.0 | 0.0025 | 0.0 | 0.0 | 0.0122 | 0.0338 | 0.0 | 0.0521 | 0.0 | 0.0 | 0.0 | 0.0032 | 0.0676 |
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123 |
+
| 3.6034 | 59.0 | 295 | 3.4600 | 0.0016 | 0.0102 | 0.0 | 0.0 | 0.0025 | 0.0 | 0.0 | 0.0081 | 0.0324 | 0.0 | 0.05 | 0.0 | 0.0 | 0.0 | 0.0032 | 0.0649 |
|
124 |
+
| 3.5524 | 60.0 | 300 | 3.4434 | 0.0012 | 0.0063 | 0.0004 | 0.0 | 0.0019 | 0.0 | 0.0 | 0.0041 | 0.0324 | 0.0 | 0.05 | 0.0 | 0.0 | 0.0 | 0.0024 | 0.0649 |
|
125 |
+
| 3.4222 | 61.0 | 305 | 3.5144 | 0.0043 | 0.0113 | 0.0002 | 0.0 | 0.0066 | 0.0 | 0.0 | 0.027 | 0.0419 | 0.0 | 0.0646 | 0.0 | 0.0 | 0.0 | 0.0086 | 0.0838 |
|
126 |
+
| 3.451 | 62.0 | 310 | 3.5189 | 0.0198 | 0.0582 | 0.0002 | 0.0 | 0.0304 | 0.0007 | 0.0189 | 0.0351 | 0.0446 | 0.0 | 0.0646 | 0.1 | 0.0 | 0.0 | 0.0396 | 0.0892 |
|
127 |
+
| 3.4485 | 63.0 | 315 | 3.4585 | 0.0125 | 0.0428 | 0.0 | 0.0 | 0.0202 | 0.0 | 0.0135 | 0.0297 | 0.0405 | 0.0 | 0.0625 | 0.0 | 0.0 | 0.0 | 0.0249 | 0.0811 |
|
128 |
+
| 3.475 | 64.0 | 320 | 3.3541 | 0.0063 | 0.0297 | 0.0012 | 0.0 | 0.0111 | 0.0016 | 0.0027 | 0.0216 | 0.0405 | 0.0 | 0.0583 | 0.1 | 0.0 | 0.0 | 0.0126 | 0.0811 |
|
129 |
+
| 3.4189 | 65.0 | 325 | 3.3517 | 0.0051 | 0.0315 | 0.0 | 0.0 | 0.0094 | 0.0 | 0.0014 | 0.0257 | 0.0378 | 0.0 | 0.0583 | 0.0 | 0.0 | 0.0 | 0.0102 | 0.0757 |
|
130 |
+
| 3.324 | 66.0 | 330 | 3.2557 | 0.0025 | 0.0134 | 0.0 | 0.0 | 0.0045 | 0.0 | 0.0 | 0.0216 | 0.0243 | 0.0 | 0.0375 | 0.0 | 0.0 | 0.0 | 0.005 | 0.0486 |
|
131 |
+
| 3.5049 | 67.0 | 335 | 3.3093 | 0.0031 | 0.0108 | 0.0 | 0.0 | 0.0051 | 0.0 | 0.0 | 0.027 | 0.027 | 0.0 | 0.0417 | 0.0 | 0.0 | 0.0 | 0.0061 | 0.0541 |
|
132 |
+
| 3.3219 | 68.0 | 340 | 3.3455 | 0.0119 | 0.0596 | 0.0008 | 0.0 | 0.0189 | 0.0 | 0.0095 | 0.0284 | 0.0432 | 0.0 | 0.0667 | 0.0 | 0.0 | 0.0 | 0.0239 | 0.0865 |
|
133 |
+
| 3.3633 | 69.0 | 345 | 3.4110 | 0.0268 | 0.0747 | 0.0034 | 0.0 | 0.0414 | 0.0 | 0.0203 | 0.0662 | 0.0662 | 0.0 | 0.1021 | 0.0 | 0.0 | 0.0 | 0.0536 | 0.1324 |
|
134 |
+
| 3.4628 | 70.0 | 350 | 3.3594 | 0.0024 | 0.0151 | 0.0002 | 0.0 | 0.0037 | 0.0 | 0.0014 | 0.0216 | 0.0405 | 0.0 | 0.0625 | 0.0 | 0.0 | 0.0 | 0.0048 | 0.0811 |
|
135 |
+
| 3.272 | 71.0 | 355 | 3.3655 | 0.0039 | 0.0174 | 0.0008 | 0.0 | 0.0061 | 0.0 | 0.0014 | 0.0149 | 0.0473 | 0.0 | 0.0729 | 0.0 | 0.0 | 0.0 | 0.0079 | 0.0946 |
|
136 |
+
| 3.3713 | 72.0 | 360 | 3.3455 | 0.0097 | 0.0609 | 0.0018 | 0.0 | 0.015 | 0.0 | 0.0108 | 0.0122 | 0.0473 | 0.0 | 0.0729 | 0.0 | 0.0 | 0.0 | 0.0195 | 0.0946 |
|
137 |
+
| 3.258 | 73.0 | 365 | 3.3679 | 0.0006 | 0.0025 | 0.0 | 0.0 | 0.0011 | 0.0 | 0.0 | 0.0068 | 0.023 | 0.0 | 0.0354 | 0.0 | 0.0 | 0.0 | 0.0013 | 0.0459 |
|
138 |
+
| 3.3666 | 74.0 | 370 | 3.3173 | 0.0004 | 0.0024 | 0.0 | 0.0 | 0.0008 | 0.0 | 0.0 | 0.0014 | 0.0216 | 0.0 | 0.0333 | 0.0 | 0.0 | 0.0 | 0.0009 | 0.0432 |
|
139 |
+
| 3.2339 | 75.0 | 375 | 3.3463 | 0.002 | 0.0103 | 0.0 | 0.0 | 0.0033 | 0.0 | 0.0 | 0.0081 | 0.0405 | 0.0 | 0.0625 | 0.0 | 0.0 | 0.0 | 0.004 | 0.0811 |
|
140 |
+
| 3.2601 | 76.0 | 380 | 3.3633 | 0.002 | 0.0111 | 0.0 | 0.0 | 0.0032 | 0.0 | 0.0 | 0.0081 | 0.0392 | 0.0 | 0.0604 | 0.0 | 0.0 | 0.0 | 0.0039 | 0.0784 |
|
141 |
+
| 3.3584 | 77.0 | 385 | 3.3331 | 0.0025 | 0.0108 | 0.0 | 0.0 | 0.004 | 0.0 | 0.0 | 0.0081 | 0.0486 | 0.0 | 0.075 | 0.0 | 0.0 | 0.0 | 0.0051 | 0.0973 |
|
142 |
+
| 3.2928 | 78.0 | 390 | 3.3012 | 0.0043 | 0.0139 | 0.0002 | 0.0 | 0.0066 | 0.0 | 0.0 | 0.0162 | 0.0635 | 0.0 | 0.0979 | 0.0 | 0.0 | 0.0 | 0.0085 | 0.127 |
|
143 |
+
| 3.2633 | 79.0 | 395 | 3.2913 | 0.0076 | 0.0226 | 0.0003 | 0.0 | 0.0117 | 0.0 | 0.0027 | 0.0392 | 0.0432 | 0.0 | 0.0667 | 0.0 | 0.0 | 0.0 | 0.0153 | 0.0865 |
|
144 |
+
| 3.3965 | 80.0 | 400 | 3.3141 | 0.008 | 0.0224 | 0.0051 | 0.0 | 0.0126 | 0.0 | 0.0014 | 0.0405 | 0.0419 | 0.0 | 0.0646 | 0.0 | 0.0 | 0.0 | 0.016 | 0.0838 |
|
145 |
+
| 3.2753 | 81.0 | 405 | 3.4127 | 0.0077 | 0.0231 | 0.0036 | 0.0 | 0.012 | 0.0 | 0.0 | 0.0405 | 0.0432 | 0.0 | 0.0667 | 0.0 | 0.0 | 0.0 | 0.0155 | 0.0865 |
|
146 |
+
| 3.3362 | 82.0 | 410 | 3.4194 | 0.0099 | 0.0365 | 0.0032 | 0.0 | 0.0152 | 0.0 | 0.0054 | 0.0473 | 0.0568 | 0.0 | 0.0875 | 0.0 | 0.0 | 0.0 | 0.0197 | 0.1135 |
|
147 |
+
| 3.3752 | 83.0 | 415 | 3.3421 | 0.0086 | 0.0411 | 0.0 | 0.0 | 0.0134 | 0.0 | 0.0014 | 0.0351 | 0.0432 | 0.0 | 0.0667 | 0.0 | 0.0 | 0.0 | 0.0173 | 0.0865 |
|
148 |
+
| 3.3222 | 84.0 | 420 | 3.2956 | 0.004 | 0.0234 | 0.0 | 0.0 | 0.0063 | 0.0 | 0.0014 | 0.0243 | 0.0243 | 0.0 | 0.0375 | 0.0 | 0.0 | 0.0 | 0.008 | 0.0486 |
|
149 |
+
| 3.3732 | 85.0 | 425 | 3.2515 | 0.0281 | 0.0614 | 0.0 | 0.0 | 0.0434 | 0.0 | 0.0257 | 0.0338 | 0.0459 | 0.0 | 0.0708 | 0.0 | 0.0 | 0.0 | 0.0562 | 0.0919 |
|
150 |
+
| 3.1932 | 86.0 | 430 | 3.2197 | 0.0263 | 0.0603 | 0.0 | 0.0 | 0.0409 | 0.0 | 0.0243 | 0.0297 | 0.0459 | 0.0 | 0.0708 | 0.0 | 0.0 | 0.0 | 0.0527 | 0.0919 |
|
151 |
+
| 3.3181 | 87.0 | 435 | 3.3373 | 0.0027 | 0.0142 | 0.0 | 0.0 | 0.0042 | 0.0 | 0.0 | 0.023 | 0.0297 | 0.0 | 0.0458 | 0.0 | 0.0 | 0.0 | 0.0055 | 0.0595 |
|
152 |
+
| 3.3382 | 88.0 | 440 | 3.3707 | 0.0019 | 0.0069 | 0.0 | 0.0 | 0.003 | 0.0 | 0.0 | 0.0243 | 0.0297 | 0.0 | 0.0458 | 0.0 | 0.0 | 0.0 | 0.0039 | 0.0595 |
|
153 |
+
| 3.1525 | 89.0 | 445 | 3.4728 | 0.0025 | 0.0056 | 0.0 | 0.0 | 0.0038 | 0.0 | 0.0 | 0.0324 | 0.0324 | 0.0 | 0.05 | 0.0 | 0.0 | 0.0 | 0.005 | 0.0649 |
|
154 |
+
| 3.1836 | 90.0 | 450 | 3.4726 | 0.0103 | 0.0357 | 0.0 | 0.0 | 0.0163 | 0.0 | 0.0041 | 0.0486 | 0.05 | 0.0 | 0.0771 | 0.0 | 0.0 | 0.0 | 0.0206 | 0.1 |
|
155 |
+
| 3.2294 | 91.0 | 455 | 3.4077 | 0.0116 | 0.0309 | 0.0 | 0.0 | 0.0183 | 0.0 | 0.0041 | 0.0581 | 0.0595 | 0.0 | 0.0917 | 0.0 | 0.0 | 0.0 | 0.0233 | 0.1189 |
|
156 |
+
| 3.2468 | 92.0 | 460 | 3.3905 | 0.0101 | 0.0324 | 0.0004 | 0.0 | 0.0158 | 0.0 | 0.0027 | 0.0581 | 0.0581 | 0.0 | 0.0896 | 0.0 | 0.0 | 0.0 | 0.0202 | 0.1162 |
|
157 |
+
| 3.2433 | 93.0 | 465 | 3.3989 | 0.0099 | 0.0309 | 0.0004 | 0.0 | 0.0155 | 0.0 | 0.0027 | 0.0581 | 0.0581 | 0.0 | 0.0896 | 0.0 | 0.0 | 0.0 | 0.0198 | 0.1162 |
|
158 |
+
| 3.152 | 94.0 | 470 | 3.3957 | 0.0113 | 0.0352 | 0.0003 | 0.0 | 0.0177 | 0.0 | 0.0027 | 0.0568 | 0.0568 | 0.0 | 0.0875 | 0.0 | 0.0 | 0.0 | 0.0226 | 0.1135 |
|
159 |
+
| 3.2372 | 95.0 | 475 | 3.3941 | 0.0105 | 0.0345 | 0.0003 | 0.0 | 0.0163 | 0.0 | 0.0027 | 0.0527 | 0.0527 | 0.0 | 0.0812 | 0.0 | 0.0 | 0.0 | 0.0209 | 0.1054 |
|
160 |
+
| 3.2734 | 96.0 | 480 | 3.3851 | 0.0103 | 0.0256 | 0.0003 | 0.0 | 0.016 | 0.0 | 0.0041 | 0.0568 | 0.0568 | 0.0 | 0.0875 | 0.0 | 0.0 | 0.0 | 0.0205 | 0.1135 |
|
161 |
+
| 3.2559 | 97.0 | 485 | 3.3807 | 0.0113 | 0.0308 | 0.0003 | 0.0 | 0.0174 | 0.0 | 0.0041 | 0.0595 | 0.0608 | 0.0 | 0.0938 | 0.0 | 0.0 | 0.0 | 0.0226 | 0.1216 |
|
162 |
+
| 3.3223 | 98.0 | 490 | 3.3773 | 0.0094 | 0.03 | 0.0003 | 0.0 | 0.0146 | 0.0 | 0.0027 | 0.0527 | 0.0608 | 0.0 | 0.0938 | 0.0 | 0.0 | 0.0 | 0.0189 | 0.1216 |
|
163 |
+
| 3.1813 | 99.0 | 495 | 3.3789 | 0.0084 | 0.025 | 0.0004 | 0.0 | 0.0129 | 0.0 | 0.0027 | 0.0486 | 0.0622 | 0.0 | 0.0958 | 0.0 | 0.0 | 0.0 | 0.0168 | 0.1243 |
|
164 |
+
| 3.1959 | 100.0 | 500 | 3.3774 | 0.0076 | 0.0237 | 0.0004 | 0.0 | 0.0117 | 0.0 | 0.0014 | 0.0459 | 0.0622 | 0.0 | 0.0958 | 0.0 | 0.0 | 0.0 | 0.0152 | 0.1243 |
|
165 |
+
|
166 |
+
|
167 |
+
### Framework versions
|
168 |
+
|
169 |
+
- Transformers 4.44.0.dev0
|
170 |
+
- Pytorch 2.3.1
|
171 |
+
- Datasets 2.20.0
|
172 |
+
- Tokenizers 0.19.1
|
config.json
ADDED
@@ -0,0 +1,63 @@
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|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "facebook/detr-resnet-50",
|
3 |
+
"activation_dropout": 0.0,
|
4 |
+
"activation_function": "relu",
|
5 |
+
"architectures": [
|
6 |
+
"DetrForObjectDetection"
|
7 |
+
],
|
8 |
+
"attention_dropout": 0.0,
|
9 |
+
"auxiliary_loss": false,
|
10 |
+
"backbone": "resnet50",
|
11 |
+
"backbone_config": null,
|
12 |
+
"backbone_kwargs": {
|
13 |
+
"in_chans": 3,
|
14 |
+
"out_indices": [
|
15 |
+
1,
|
16 |
+
2,
|
17 |
+
3,
|
18 |
+
4
|
19 |
+
]
|
20 |
+
},
|
21 |
+
"bbox_cost": 5,
|
22 |
+
"bbox_loss_coefficient": 5,
|
23 |
+
"class_cost": 1,
|
24 |
+
"classifier_dropout": 0.0,
|
25 |
+
"d_model": 256,
|
26 |
+
"decoder_attention_heads": 8,
|
27 |
+
"decoder_ffn_dim": 2048,
|
28 |
+
"decoder_layerdrop": 0.0,
|
29 |
+
"decoder_layers": 6,
|
30 |
+
"dice_loss_coefficient": 1,
|
31 |
+
"dilation": false,
|
32 |
+
"dropout": 0.1,
|
33 |
+
"encoder_attention_heads": 8,
|
34 |
+
"encoder_ffn_dim": 2048,
|
35 |
+
"encoder_layerdrop": 0.0,
|
36 |
+
"encoder_layers": 6,
|
37 |
+
"eos_coefficient": 0.1,
|
38 |
+
"giou_cost": 2,
|
39 |
+
"giou_loss_coefficient": 2,
|
40 |
+
"id2label": {
|
41 |
+
"0": "table",
|
42 |
+
"1": "text"
|
43 |
+
},
|
44 |
+
"init_std": 0.02,
|
45 |
+
"init_xavier_std": 1.0,
|
46 |
+
"is_encoder_decoder": true,
|
47 |
+
"label2id": {
|
48 |
+
"table": 0,
|
49 |
+
"text": 1
|
50 |
+
},
|
51 |
+
"mask_loss_coefficient": 1,
|
52 |
+
"max_position_embeddings": 1024,
|
53 |
+
"model_type": "detr",
|
54 |
+
"num_channels": 3,
|
55 |
+
"num_hidden_layers": 6,
|
56 |
+
"num_queries": 100,
|
57 |
+
"position_embedding_type": "sine",
|
58 |
+
"scale_embedding": false,
|
59 |
+
"torch_dtype": "float32",
|
60 |
+
"transformers_version": "4.44.0.dev0",
|
61 |
+
"use_pretrained_backbone": true,
|
62 |
+
"use_timm_backbone": true
|
63 |
+
}
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:d7dbc03a14ed6438a76d9e914d4c7c814fd25a05309cee00e200eb4ca986a49c
|
3 |
+
size 166495852
|
preprocessor_config.json
ADDED
@@ -0,0 +1,29 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"do_convert_annotations": true,
|
3 |
+
"do_normalize": true,
|
4 |
+
"do_pad": true,
|
5 |
+
"do_rescale": true,
|
6 |
+
"do_resize": true,
|
7 |
+
"format": "coco_detection",
|
8 |
+
"image_mean": [
|
9 |
+
0.485,
|
10 |
+
0.456,
|
11 |
+
0.406
|
12 |
+
],
|
13 |
+
"image_processor_type": "DetrImageProcessor",
|
14 |
+
"image_std": [
|
15 |
+
0.229,
|
16 |
+
0.224,
|
17 |
+
0.225
|
18 |
+
],
|
19 |
+
"pad_size": {
|
20 |
+
"height": 600,
|
21 |
+
"width": 600
|
22 |
+
},
|
23 |
+
"resample": 2,
|
24 |
+
"rescale_factor": 0.00392156862745098,
|
25 |
+
"size": {
|
26 |
+
"max_height": 600,
|
27 |
+
"max_width": 600
|
28 |
+
}
|
29 |
+
}
|
runs/Jul26_10-19-03_sonoma.local/events.out.tfevents.1721963959.sonoma.local.17727.0
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:4686c5c17494f5b02c8d5287fe47bf4e7a11badc9efed1090a70e1fbe7e82111
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size 137146
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training_args.bin
ADDED
@@ -0,0 +1,3 @@
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|
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|
1 |
+
version https://git-lfs.github.com/spec/v1
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size 5240
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