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chickens

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detr
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End of training

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  1. README.md +31 -31
  2. model.safetensors +1 -1
  3. runs/Sep25_07-55-52_18f31841abcd/events.out.tfevents.1727250953.18f31841abcd.780.0 +2 -2
README.md CHANGED
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.1823
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  ## Model description
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@@ -47,36 +47,36 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 23 | 0.8459 |
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- | 1.0196 | 2.0 | 46 | 0.7556 |
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- | 0.761 | 3.0 | 69 | 0.7300 |
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- | 0.7271 | 4.0 | 92 | 0.6512 |
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- | 0.7271 | 5.0 | 115 | 0.4850 |
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- | 0.6713 | 6.0 | 138 | 0.4941 |
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- | 0.5706 | 7.0 | 161 | 0.4114 |
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- | 0.5322 | 8.0 | 184 | 0.5840 |
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- | 0.5322 | 9.0 | 207 | 0.4716 |
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- | 0.5547 | 10.0 | 230 | 0.3995 |
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- | 0.497 | 11.0 | 253 | 0.3895 |
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- | 0.4594 | 12.0 | 276 | 0.4075 |
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- | 0.4594 | 13.0 | 299 | 0.3177 |
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- | 0.4287 | 14.0 | 322 | 0.3166 |
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- | 0.3933 | 15.0 | 345 | 0.2530 |
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- | 0.3656 | 16.0 | 368 | 0.3149 |
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- | 0.3679 | 17.0 | 391 | 0.2246 |
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- | 0.3679 | 18.0 | 414 | 0.2251 |
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- | 0.3296 | 19.0 | 437 | 0.2383 |
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- | 0.3305 | 20.0 | 460 | 0.2580 |
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- | 0.3263 | 21.0 | 483 | 0.2059 |
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- | 0.3263 | 22.0 | 506 | 0.2023 |
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- | 0.3112 | 23.0 | 529 | 0.1950 |
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- | 0.3042 | 24.0 | 552 | 0.1974 |
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- | 0.2872 | 25.0 | 575 | 0.1984 |
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- | 0.2872 | 26.0 | 598 | 0.1868 |
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- | 0.2987 | 27.0 | 621 | 0.1862 |
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- | 0.2844 | 28.0 | 644 | 0.1860 |
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- | 0.2843 | 29.0 | 667 | 0.1864 |
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- | 0.2869 | 30.0 | 690 | 0.1823 |
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  ### Framework versions
 
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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: 0.3492
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 13 | 1.0881 |
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+ | No log | 2.0 | 26 | 0.9358 |
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+ | 1.0365 | 3.0 | 39 | 0.9215 |
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+ | 1.0365 | 4.0 | 52 | 0.9268 |
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+ | 0.9112 | 5.0 | 65 | 0.9596 |
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+ | 0.9112 | 6.0 | 78 | 0.7592 |
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+ | 0.8322 | 7.0 | 91 | 0.8089 |
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+ | 0.8322 | 8.0 | 104 | 0.6614 |
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+ | 0.8322 | 9.0 | 117 | 0.6783 |
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+ | 0.6855 | 10.0 | 130 | 0.7351 |
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+ | 0.6855 | 11.0 | 143 | 0.5850 |
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+ | 0.6472 | 12.0 | 156 | 0.6359 |
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+ | 0.6472 | 13.0 | 169 | 0.5550 |
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+ | 0.6054 | 14.0 | 182 | 0.6118 |
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+ | 0.6054 | 15.0 | 195 | 0.5439 |
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+ | 0.6054 | 16.0 | 208 | 0.4656 |
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+ | 0.5285 | 17.0 | 221 | 0.5055 |
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+ | 0.5285 | 18.0 | 234 | 0.4901 |
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+ | 0.5045 | 19.0 | 247 | 0.4484 |
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+ | 0.5045 | 20.0 | 260 | 0.4110 |
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+ | 0.4543 | 21.0 | 273 | 0.4308 |
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+ | 0.4543 | 22.0 | 286 | 0.3917 |
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+ | 0.4543 | 23.0 | 299 | 0.3521 |
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+ | 0.434 | 24.0 | 312 | 0.3937 |
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+ | 0.434 | 25.0 | 325 | 0.3454 |
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+ | 0.4099 | 26.0 | 338 | 0.3603 |
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+ | 0.4099 | 27.0 | 351 | 0.3589 |
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+ | 0.3998 | 28.0 | 364 | 0.3548 |
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+ | 0.3998 | 29.0 | 377 | 0.3474 |
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+ | 0.3945 | 30.0 | 390 | 0.3492 |
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  ### Framework versions
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