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chickens

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End of training

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  1. README.md +102 -62
  2. model.safetensors +1 -1
  3. runs/Sep30_22-30-58_15b24880ef53/events.out.tfevents.1727735459.15b24880ef53.366.5 +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: 0.4347
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  ## Model description
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@@ -41,72 +41,112 @@ 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: cosine
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- - num_epochs: 60
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 12 | 1.3827 |
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- | No log | 2.0 | 24 | 1.2849 |
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- | 1.6806 | 3.0 | 36 | 1.0842 |
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- | 1.6806 | 4.0 | 48 | 1.1192 |
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- | 1.2614 | 5.0 | 60 | 1.1155 |
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- | 1.2614 | 6.0 | 72 | 1.1930 |
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- | 1.2614 | 7.0 | 84 | 1.1391 |
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- | 1.2888 | 8.0 | 96 | 1.1103 |
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- | 1.2888 | 9.0 | 108 | 1.0431 |
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- | 1.1888 | 10.0 | 120 | 1.0725 |
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- | 1.1888 | 11.0 | 132 | 1.0291 |
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- | 1.1888 | 12.0 | 144 | 0.9927 |
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- | 1.136 | 13.0 | 156 | 1.0962 |
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- | 1.136 | 14.0 | 168 | 0.9916 |
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- | 1.097 | 15.0 | 180 | 1.0381 |
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- | 1.097 | 16.0 | 192 | 1.0340 |
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- | 1.097 | 17.0 | 204 | 0.8897 |
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- | 1.062 | 18.0 | 216 | 0.8192 |
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- | 1.062 | 19.0 | 228 | 0.7393 |
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- | 0.9139 | 20.0 | 240 | 0.8128 |
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- | 0.9139 | 21.0 | 252 | 0.6729 |
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- | 0.9139 | 22.0 | 264 | 0.6462 |
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- | 0.8313 | 23.0 | 276 | 0.6162 |
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- | 0.8313 | 24.0 | 288 | 0.5770 |
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- | 0.7604 | 25.0 | 300 | 0.6386 |
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- | 0.7604 | 26.0 | 312 | 0.5491 |
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- | 0.7604 | 27.0 | 324 | 0.5245 |
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- | 0.7188 | 28.0 | 336 | 0.5677 |
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- | 0.7188 | 29.0 | 348 | 0.5520 |
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- | 0.6914 | 30.0 | 360 | 0.5680 |
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- | 0.6914 | 31.0 | 372 | 0.5411 |
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- | 0.6914 | 32.0 | 384 | 0.4988 |
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- | 0.6721 | 33.0 | 396 | 0.5286 |
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- | 0.6721 | 34.0 | 408 | 0.5483 |
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- | 0.6401 | 35.0 | 420 | 0.4834 |
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- | 0.6401 | 36.0 | 432 | 0.4729 |
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- | 0.6401 | 37.0 | 444 | 0.5141 |
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- | 0.6137 | 38.0 | 456 | 0.4964 |
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- | 0.6137 | 39.0 | 468 | 0.4786 |
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- | 0.6133 | 40.0 | 480 | 0.4864 |
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- | 0.6133 | 41.0 | 492 | 0.4660 |
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- | 0.6133 | 42.0 | 504 | 0.4632 |
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- | 0.5955 | 43.0 | 516 | 0.4568 |
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- | 0.5955 | 44.0 | 528 | 0.4681 |
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- | 0.5746 | 45.0 | 540 | 0.4864 |
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- | 0.5746 | 46.0 | 552 | 0.4645 |
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- | 0.5746 | 47.0 | 564 | 0.4601 |
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- | 0.59 | 48.0 | 576 | 0.4584 |
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- | 0.59 | 49.0 | 588 | 0.4703 |
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- | 0.5604 | 50.0 | 600 | 0.4359 |
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- | 0.5604 | 51.0 | 612 | 0.4685 |
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- | 0.5604 | 52.0 | 624 | 0.4446 |
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- | 0.5518 | 53.0 | 636 | 0.4398 |
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- | 0.5518 | 54.0 | 648 | 0.4410 |
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- | 0.545 | 55.0 | 660 | 0.4371 |
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- | 0.545 | 56.0 | 672 | 0.4427 |
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- | 0.545 | 57.0 | 684 | 0.4391 |
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- | 0.553 | 58.0 | 696 | 0.4358 |
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- | 0.553 | 59.0 | 708 | 0.4348 |
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- | 0.546 | 60.0 | 720 | 0.4347 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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.
18
  It achieves the following results on the evaluation set:
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+ - Loss: 0.2663
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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: cosine
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+ - num_epochs: 100
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.5127 | 1.0 | 57 | 1.1473 |
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+ | 1.2464 | 2.0 | 114 | 1.1654 |
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+ | 1.1597 | 3.0 | 171 | 0.9371 |
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+ | 1.0188 | 4.0 | 228 | 0.8206 |
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+ | 0.892 | 5.0 | 285 | 0.6825 |
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+ | 0.8044 | 6.0 | 342 | 0.6275 |
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+ | 0.8262 | 7.0 | 399 | 0.5388 |
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+ | 0.7248 | 8.0 | 456 | 0.5150 |
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+ | 0.7478 | 9.0 | 513 | 0.5798 |
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+ | 0.7335 | 10.0 | 570 | 0.6344 |
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+ | 0.7018 | 11.0 | 627 | 0.5152 |
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+ | 0.6755 | 12.0 | 684 | 0.6301 |
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+ | 0.6846 | 13.0 | 741 | 0.6130 |
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+ | 0.7388 | 14.0 | 798 | 0.5609 |
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+ | 0.678 | 15.0 | 855 | 0.5973 |
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+ | 0.7463 | 16.0 | 912 | 0.6333 |
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+ | 0.7194 | 17.0 | 969 | 0.5422 |
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+ | 0.6592 | 18.0 | 1026 | 0.4144 |
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+ | 0.6508 | 19.0 | 1083 | 0.5325 |
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+ | 0.6662 | 20.0 | 1140 | 0.5498 |
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+ | 0.6588 | 21.0 | 1197 | 0.4653 |
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+ | 0.6143 | 22.0 | 1254 | 0.4947 |
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+ | 0.5999 | 23.0 | 1311 | 0.5844 |
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+ | 0.5749 | 24.0 | 1368 | 0.3780 |
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+ | 0.5767 | 25.0 | 1425 | 0.4995 |
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+ | 0.5922 | 26.0 | 1482 | 0.4711 |
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+ | 0.5968 | 27.0 | 1539 | 0.4946 |
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+ | 0.5697 | 28.0 | 1596 | 0.4763 |
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+ | 0.5413 | 29.0 | 1653 | 0.4314 |
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+ | 0.5774 | 30.0 | 1710 | 0.4891 |
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+ | 0.5531 | 31.0 | 1767 | 0.4204 |
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+ | 0.5571 | 32.0 | 1824 | 0.4180 |
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+ | 0.5464 | 33.0 | 1881 | 0.3826 |
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+ | 0.5158 | 34.0 | 1938 | 0.3677 |
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+ | 0.5061 | 35.0 | 1995 | 0.4286 |
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+ | 0.5138 | 36.0 | 2052 | 0.4227 |
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+ | 0.509 | 37.0 | 2109 | 0.3925 |
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+ | 0.5201 | 38.0 | 2166 | 0.4016 |
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+ | 0.5121 | 39.0 | 2223 | 0.3852 |
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+ | 0.4911 | 40.0 | 2280 | 0.4250 |
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+ | 0.5183 | 41.0 | 2337 | 0.4073 |
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+ | 0.5198 | 42.0 | 2394 | 0.4061 |
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+ | 0.4979 | 43.0 | 2451 | 0.4376 |
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+ | 0.4898 | 44.0 | 2508 | 0.3740 |
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+ | 0.4804 | 45.0 | 2565 | 0.3759 |
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+ | 0.4957 | 46.0 | 2622 | 0.3428 |
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+ | 0.4945 | 47.0 | 2679 | 0.3797 |
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+ | 0.4959 | 48.0 | 2736 | 0.3737 |
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+ | 0.4742 | 49.0 | 2793 | 0.3642 |
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+ | 0.4478 | 50.0 | 2850 | 0.3605 |
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+ | 0.4356 | 51.0 | 2907 | 0.3320 |
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+ | 0.4449 | 52.0 | 2964 | 0.3693 |
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+ | 0.4538 | 53.0 | 3021 | 0.3366 |
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+ | 0.446 | 54.0 | 3078 | 0.4385 |
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+ | 0.4545 | 55.0 | 3135 | 0.3581 |
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+ | 0.4294 | 56.0 | 3192 | 0.3546 |
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+ | 0.4384 | 57.0 | 3249 | 0.3595 |
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+ | 0.4349 | 58.0 | 3306 | 0.3955 |
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+ | 0.4272 | 59.0 | 3363 | 0.3247 |
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+ | 0.4338 | 60.0 | 3420 | 0.3456 |
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+ | 0.4309 | 61.0 | 3477 | 0.2937 |
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+ | 0.4193 | 62.0 | 3534 | 0.3381 |
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+ | 0.4253 | 63.0 | 3591 | 0.2959 |
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+ | 0.4223 | 64.0 | 3648 | 0.3100 |
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+ | 0.3973 | 65.0 | 3705 | 0.3546 |
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+ | 0.4097 | 66.0 | 3762 | 0.3492 |
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+ | 0.3966 | 67.0 | 3819 | 0.2990 |
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+ | 0.4008 | 68.0 | 3876 | 0.3290 |
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+ | 0.3955 | 69.0 | 3933 | 0.3070 |
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+ | 0.3986 | 70.0 | 3990 | 0.3562 |
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+ | 0.3971 | 71.0 | 4047 | 0.3074 |
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+ | 0.3999 | 72.0 | 4104 | 0.3278 |
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+ | 0.3933 | 73.0 | 4161 | 0.3116 |
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+ | 0.387 | 74.0 | 4218 | 0.2914 |
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+ | 0.3873 | 75.0 | 4275 | 0.3302 |
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+ | 0.3814 | 76.0 | 4332 | 0.2788 |
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+ | 0.3744 | 77.0 | 4389 | 0.2938 |
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+ | 0.3701 | 78.0 | 4446 | 0.2761 |
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+ | 0.3767 | 79.0 | 4503 | 0.2760 |
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+ | 0.3644 | 80.0 | 4560 | 0.2855 |
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+ | 0.366 | 81.0 | 4617 | 0.2659 |
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+ | 0.3602 | 82.0 | 4674 | 0.2695 |
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+ | 0.3634 | 83.0 | 4731 | 0.2927 |
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+ | 0.3533 | 84.0 | 4788 | 0.2712 |
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+ | 0.3608 | 85.0 | 4845 | 0.2708 |
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+ | 0.3652 | 86.0 | 4902 | 0.2754 |
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+ | 0.3576 | 87.0 | 4959 | 0.2589 |
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+ | 0.3662 | 88.0 | 5016 | 0.2700 |
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+ | 0.3568 | 89.0 | 5073 | 0.2602 |
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+ | 0.3561 | 90.0 | 5130 | 0.2726 |
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+ | 0.3568 | 91.0 | 5187 | 0.2714 |
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+ | 0.3564 | 92.0 | 5244 | 0.2703 |
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+ | 0.3622 | 93.0 | 5301 | 0.2737 |
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+ | 0.3501 | 94.0 | 5358 | 0.2643 |
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+ | 0.3514 | 95.0 | 5415 | 0.2639 |
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+ | 0.3574 | 96.0 | 5472 | 0.2710 |
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+ | 0.3502 | 97.0 | 5529 | 0.2672 |
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+ | 0.3472 | 98.0 | 5586 | 0.2658 |
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+ | 0.3489 | 99.0 | 5643 | 0.2662 |
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+ | 0.36 | 100.0 | 5700 | 0.2663 |
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  ### Framework versions
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