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magarcd
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practica_2_kangaroo

Object Detection
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Safetensors
yolos
Generated from Trainer
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End of training

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  1. README.md +109 -8
  2. model.safetensors +1 -1
README.md CHANGED
@@ -1,7 +1,7 @@
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  ---
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  library_name: transformers
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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:
@@ -14,14 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # practica_2_kangaroo
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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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- - eval_loss: 0.5246
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- - eval_runtime: 1.8221
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- - eval_samples_per_second: 8.781
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- - eval_steps_per_second: 1.098
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- - epoch: 27.0
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- - step: 513
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  ## Model description
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@@ -49,6 +44,112 @@ The following hyperparameters were used during training:
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  - num_epochs: 100
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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  - Transformers 4.48.3
 
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  ---
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  library_name: transformers
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  license: apache-2.0
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+ base_model: hustvl/yolos-tiny
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  tags:
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  - generated_from_trainer
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  model-index:
 
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  # practica_2_kangaroo
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+ This model is a fine-tuned version of [hustvl/yolos-tiny](https://huggingface.co/hustvl/yolos-tiny) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6938
 
 
 
 
 
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  ## Model description
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  - num_epochs: 100
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  - mixed_precision_training: Native AMP
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 19 | 0.9975 |
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+ | No log | 2.0 | 38 | 0.8337 |
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+ | 0.8733 | 3.0 | 57 | 0.9003 |
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+ | 0.8733 | 4.0 | 76 | 0.7992 |
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+ | 0.8733 | 5.0 | 95 | 0.7225 |
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+ | 0.577 | 6.0 | 114 | 0.8095 |
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+ | 0.577 | 7.0 | 133 | 0.8329 |
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+ | 0.4498 | 8.0 | 152 | 0.7701 |
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+ | 0.4498 | 9.0 | 171 | 0.7072 |
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+ | 0.4498 | 10.0 | 190 | 0.7774 |
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+ | 0.3697 | 11.0 | 209 | 0.7421 |
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+ | 0.3697 | 12.0 | 228 | 0.6773 |
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+ | 0.3697 | 13.0 | 247 | 0.6309 |
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+ | 0.3348 | 14.0 | 266 | 0.7009 |
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+ | 0.3348 | 15.0 | 285 | 0.7800 |
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+ | 0.2907 | 16.0 | 304 | 0.7364 |
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+ | 0.2907 | 17.0 | 323 | 0.6137 |
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+ | 0.2907 | 18.0 | 342 | 0.6721 |
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+ | 0.2595 | 19.0 | 361 | 0.6353 |
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+ | 0.2595 | 20.0 | 380 | 0.6392 |
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+ | 0.2595 | 21.0 | 399 | 0.6280 |
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+ | 0.244 | 22.0 | 418 | 0.5759 |
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+ | 0.244 | 23.0 | 437 | 0.5613 |
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+ | 0.2154 | 24.0 | 456 | 0.6886 |
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+ | 0.2154 | 25.0 | 475 | 0.6181 |
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+ | 0.2154 | 26.0 | 494 | 0.6223 |
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+ | 0.1989 | 27.0 | 513 | 0.5730 |
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+ | 0.1989 | 28.0 | 532 | 0.6037 |
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+ | 0.1848 | 29.0 | 551 | 0.7125 |
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+ | 0.1848 | 30.0 | 570 | 0.6218 |
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+ | 0.1848 | 31.0 | 589 | 0.5871 |
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+ | 0.1686 | 32.0 | 608 | 0.6126 |
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+ | 0.1686 | 33.0 | 627 | 0.6017 |
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+ | 0.1686 | 34.0 | 646 | 0.7448 |
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+ | 0.1667 | 35.0 | 665 | 0.6713 |
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+ | 0.1667 | 36.0 | 684 | 0.7800 |
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+ | 0.1584 | 37.0 | 703 | 0.7249 |
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+ | 0.1584 | 38.0 | 722 | 0.6830 |
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+ | 0.1584 | 39.0 | 741 | 0.6575 |
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+ | 0.1424 | 40.0 | 760 | 0.6051 |
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+ | 0.1424 | 41.0 | 779 | 0.6029 |
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+ | 0.1424 | 42.0 | 798 | 0.6182 |
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+ | 0.1399 | 43.0 | 817 | 0.5813 |
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+ | 0.1399 | 44.0 | 836 | 0.6202 |
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+ | 0.1312 | 45.0 | 855 | 0.6301 |
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+ | 0.1312 | 46.0 | 874 | 0.7338 |
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+ | 0.1312 | 47.0 | 893 | 0.7173 |
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+ | 0.1278 | 48.0 | 912 | 0.6548 |
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+ | 0.1278 | 49.0 | 931 | 0.7101 |
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+ | 0.1166 | 50.0 | 950 | 0.6286 |
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+ | 0.1166 | 51.0 | 969 | 0.5544 |
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+ | 0.1166 | 52.0 | 988 | 0.6381 |
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+ | 0.1108 | 53.0 | 1007 | 0.7138 |
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+ | 0.1108 | 54.0 | 1026 | 0.6907 |
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+ | 0.1108 | 55.0 | 1045 | 0.7450 |
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+ | 0.1097 | 56.0 | 1064 | 0.7085 |
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+ | 0.1097 | 57.0 | 1083 | 0.6120 |
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+ | 0.1063 | 58.0 | 1102 | 0.6301 |
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+ | 0.1063 | 59.0 | 1121 | 0.6081 |
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+ | 0.1063 | 60.0 | 1140 | 0.5714 |
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+ | 0.1025 | 61.0 | 1159 | 0.6341 |
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+ | 0.1025 | 62.0 | 1178 | 0.5742 |
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+ | 0.1025 | 63.0 | 1197 | 0.6593 |
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+ | 0.1017 | 64.0 | 1216 | 0.6832 |
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+ | 0.1017 | 65.0 | 1235 | 0.6422 |
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+ | 0.0931 | 66.0 | 1254 | 0.6032 |
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+ | 0.0931 | 67.0 | 1273 | 0.6909 |
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+ | 0.0931 | 68.0 | 1292 | 0.6501 |
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+ | 0.0888 | 69.0 | 1311 | 0.6737 |
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+ | 0.0888 | 70.0 | 1330 | 0.7715 |
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+ | 0.0888 | 71.0 | 1349 | 0.5660 |
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+ | 0.0801 | 72.0 | 1368 | 0.5877 |
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+ | 0.0801 | 73.0 | 1387 | 0.6078 |
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+ | 0.0848 | 74.0 | 1406 | 0.5911 |
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+ | 0.0848 | 75.0 | 1425 | 0.6001 |
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+ | 0.0848 | 76.0 | 1444 | 0.7010 |
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+ | 0.0827 | 77.0 | 1463 | 0.5590 |
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+ | 0.0827 | 78.0 | 1482 | 0.5833 |
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+ | 0.0767 | 79.0 | 1501 | 0.5435 |
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+ | 0.0767 | 80.0 | 1520 | 0.5577 |
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+ | 0.0767 | 81.0 | 1539 | 0.6186 |
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+ | 0.0724 | 82.0 | 1558 | 0.6701 |
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+ | 0.0724 | 83.0 | 1577 | 0.6461 |
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+ | 0.0724 | 84.0 | 1596 | 0.5634 |
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+ | 0.0707 | 85.0 | 1615 | 0.7126 |
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+ | 0.0707 | 86.0 | 1634 | 0.6726 |
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+ | 0.0707 | 87.0 | 1653 | 0.5629 |
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+ | 0.0707 | 88.0 | 1672 | 0.6799 |
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+ | 0.0707 | 89.0 | 1691 | 0.6672 |
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+ | 0.0707 | 90.0 | 1710 | 0.7435 |
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+ | 0.0707 | 91.0 | 1729 | 0.6398 |
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+ | 0.0707 | 92.0 | 1748 | 0.6162 |
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+ | 0.0802 | 93.0 | 1767 | 0.5773 |
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+ | 0.0802 | 94.0 | 1786 | 0.6004 |
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+ | 0.0659 | 95.0 | 1805 | 0.6375 |
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+ | 0.0659 | 96.0 | 1824 | 0.6713 |
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+ | 0.0659 | 97.0 | 1843 | 0.7374 |
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+ | 0.0651 | 98.0 | 1862 | 0.6655 |
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+ | 0.0651 | 99.0 | 1881 | 0.7368 |
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+ | 0.0624 | 100.0 | 1900 | 0.6938 |
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+
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  ### Framework versions
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  - Transformers 4.48.3
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