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detr-r101-cd45rb-8ah-6l-256d-4096ffn-correcetd

Object Detection
Transformers
PyTorch
detr
Generated from Trainer
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update model card README.md

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@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [](https://huggingface.co/) on the cd45rb_nan_xywh dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.5943
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  ## Model description
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@@ -40,33 +40,38 @@ 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: 20
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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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- | 2.3194 | 1.0 | 4606 | 1.7874 |
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- | 2.3461 | 2.0 | 9212 | 1.8376 |
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- | 2.3028 | 3.0 | 13818 | 1.9087 |
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- | 2.2979 | 4.0 | 18424 | 1.9066 |
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- | 2.273 | 5.0 | 23030 | 1.7689 |
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- | 2.2372 | 6.0 | 27636 | 1.8501 |
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- | 2.2429 | 7.0 | 32242 | 1.7625 |
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- | 2.2066 | 8.0 | 36848 | 1.7588 |
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- | 2.1914 | 9.0 | 41454 | 1.7062 |
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- | 2.1553 | 10.0 | 46060 | 1.7069 |
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- | 2.1302 | 11.0 | 50666 | 1.6863 |
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- | 2.1321 | 12.0 | 55272 | 1.7722 |
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- | 2.1227 | 13.0 | 59878 | 1.6639 |
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- | 2.087 | 14.0 | 64484 | 1.6486 |
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- | 2.0676 | 15.0 | 69090 | 1.6632 |
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- | 2.0604 | 16.0 | 73696 | 1.6429 |
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- | 2.0435 | 17.0 | 78302 | 1.6224 |
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- | 2.0241 | 18.0 | 82908 | 1.6321 |
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- | 2.0041 | 19.0 | 87514 | 1.5970 |
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- | 1.9966 | 20.0 | 92120 | 1.5943 |
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [](https://huggingface.co/) on the cd45rb_nan_xywh dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.5819
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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: 25
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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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+ | 2.3194 | 1.0 | 4606 | 1.7874 |
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+ | 2.3461 | 2.0 | 9212 | 1.8376 |
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+ | 2.3028 | 3.0 | 13818 | 1.9087 |
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+ | 2.2979 | 4.0 | 18424 | 1.9066 |
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+ | 2.273 | 5.0 | 23030 | 1.7689 |
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+ | 2.2372 | 6.0 | 27636 | 1.8501 |
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+ | 2.2429 | 7.0 | 32242 | 1.7625 |
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+ | 2.2066 | 8.0 | 36848 | 1.7588 |
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+ | 2.1914 | 9.0 | 41454 | 1.7062 |
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+ | 2.1553 | 10.0 | 46060 | 1.7069 |
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+ | 2.1302 | 11.0 | 50666 | 1.6863 |
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+ | 2.1321 | 12.0 | 55272 | 1.7722 |
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+ | 2.1227 | 13.0 | 59878 | 1.6639 |
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+ | 2.087 | 14.0 | 64484 | 1.6486 |
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+ | 2.0676 | 15.0 | 69090 | 1.6632 |
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+ | 2.0604 | 16.0 | 73696 | 1.6429 |
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+ | 2.0435 | 17.0 | 78302 | 1.6224 |
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+ | 2.0241 | 18.0 | 82908 | 1.6321 |
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+ | 2.0041 | 19.0 | 87514 | 1.5970 |
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+ | 1.9966 | 20.0 | 92120 | 1.5943 |
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+ | 2.0165 | 21.0 | 96726 | 1.6092 |
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+ | 2.007 | 22.0 | 101332 | 1.5986 |
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+ | 2.0009 | 23.0 | 105938 | 1.5931 |
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+ | 1.992 | 24.0 | 110544 | 1.5898 |
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+ | 1.9769 | 25.0 | 115150 | 1.5819 |
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  ### Framework versions