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update model card README.md
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README.md
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@@ -12,9 +12,9 @@ should probably proofread and complete it, then remove this comment. -->
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# detr-resnet-50_finetuned_bbatch
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss: 2.
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## Model description
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@@ -46,59 +46,59 @@ The following hyperparameters were used during training:
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| Training Loss | Epoch | Step | Validation Loss |
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### Framework versions
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- Transformers 4.
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- Pytorch 2.0.0+cu118
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- Datasets 2.11.0
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- Tokenizers 0.13.3
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# detr-resnet-50_finetuned_bbatch
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This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.3729
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 4.0202 | 4.17 | 50 | 3.2912 |
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| 3.2043 | 8.33 | 100 | 3.1033 |
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| 3.0326 | 12.5 | 150 | 3.0882 |
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| 2.957 | 16.67 | 200 | 2.9938 |
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| 2.8396 | 20.83 | 250 | 2.8404 |
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| 2.7485 | 25.0 | 300 | 2.8785 |
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| 2.6515 | 29.17 | 350 | 2.7908 |
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| 2.5651 | 33.33 | 400 | 2.7162 |
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| 2.5172 | 37.5 | 450 | 2.6793 |
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| 2.434 | 41.67 | 500 | 2.6200 |
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| 2.3921 | 45.83 | 550 | 2.6078 |
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| 2.37 | 50.0 | 600 | 2.5634 |
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| 2.3211 | 54.17 | 650 | 2.5730 |
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| 2.2658 | 58.33 | 700 | 2.4883 |
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| 2.2487 | 62.5 | 750 | 2.6039 |
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| 2.2001 | 66.67 | 800 | 2.4645 |
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| 2.1767 | 70.83 | 850 | 2.5015 |
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| 2.1533 | 75.0 | 900 | 2.4727 |
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| 2.1489 | 79.17 | 950 | 2.4663 |
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| 2.1181 | 83.33 | 1000 | 2.4865 |
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| 2.0739 | 87.5 | 1050 | 2.4522 |
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| 2.0664 | 91.67 | 1100 | 2.4344 |
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| 2.0347 | 95.83 | 1150 | 2.4347 |
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| 2.0175 | 100.0 | 1200 | 2.4883 |
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| 1.9989 | 104.17 | 1250 | 2.4523 |
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| 1.9773 | 108.33 | 1300 | 2.4971 |
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| 1.9473 | 112.5 | 1350 | 2.5026 |
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| 1.9431 | 116.67 | 1400 | 2.4029 |
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| 1.9274 | 120.83 | 1450 | 2.4887 |
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| 1.907 | 125.0 | 1500 | 2.4216 |
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| 1.9006 | 129.17 | 1550 | 2.4143 |
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| 1.8775 | 133.33 | 1600 | 2.4107 |
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| 1.8795 | 137.5 | 1650 | 2.3722 |
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| 1.8582 | 141.67 | 1700 | 2.3952 |
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| 1.8538 | 145.83 | 1750 | 2.3964 |
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| 1.8409 | 150.0 | 1800 | 2.4083 |
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| 1.8302 | 154.17 | 1850 | 2.4013 |
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| 1.8203 | 158.33 | 1900 | 2.3768 |
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| 1.8112 | 162.5 | 1950 | 2.4538 |
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| 1.7935 | 166.67 | 2000 | 2.3903 |
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| 1.8035 | 170.83 | 2050 | 2.3707 |
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| 1.7955 | 175.0 | 2100 | 2.3588 |
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| 1.7786 | 179.17 | 2150 | 2.3775 |
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| 1.7988 | 183.33 | 2200 | 2.3376 |
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| 1.7808 | 187.5 | 2250 | 2.3629 |
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| 1.7802 | 191.67 | 2300 | 2.4191 |
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| 1.769 | 195.83 | 2350 | 2.3897 |
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| 1.7677 | 200.0 | 2400 | 2.3729 |
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### Framework versions
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- Transformers 4.28.1
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- Pytorch 2.0.0+cu118
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- Datasets 2.11.0
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- Tokenizers 0.13.3
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