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seayala
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practica_2

Object Detection
Transformers
Safetensors
yolos
Generated from Trainer
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  1. README.md +103 -103
  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: seayala/practica_2
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  tags:
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  - generated_from_trainer
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  model-index:
@@ -14,9 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # practica_2
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- This model is a fine-tuned version of [seayala/practica_2](https://huggingface.co/seayala/practica_2) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5834
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  ## Model description
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@@ -48,106 +48,106 @@ 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 | 17 | 0.5917 |
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- | No log | 2.0 | 34 | 0.5866 |
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- | 0.1407 | 3.0 | 51 | 0.6037 |
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- | 0.1407 | 4.0 | 68 | 0.6350 |
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- | 0.1407 | 5.0 | 85 | 0.5705 |
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- | 0.1413 | 6.0 | 102 | 0.5830 |
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- | 0.1413 | 7.0 | 119 | 0.6061 |
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- | 0.1413 | 8.0 | 136 | 0.5917 |
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- | 0.1359 | 9.0 | 153 | 0.5670 |
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- | 0.1359 | 10.0 | 170 | 0.6074 |
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- | 0.1359 | 11.0 | 187 | 0.6098 |
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- | 0.1317 | 12.0 | 204 | 0.5876 |
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- | 0.1317 | 13.0 | 221 | 0.5978 |
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- | 0.1317 | 14.0 | 238 | 0.5644 |
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- | 0.1254 | 15.0 | 255 | 0.5869 |
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- | 0.1254 | 16.0 | 272 | 0.6416 |
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- | 0.1254 | 17.0 | 289 | 0.6164 |
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- | 0.1218 | 18.0 | 306 | 0.6172 |
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- | 0.1218 | 19.0 | 323 | 0.5974 |
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- | 0.1218 | 20.0 | 340 | 0.6000 |
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- | 0.1264 | 21.0 | 357 | 0.6287 |
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- | 0.1264 | 22.0 | 374 | 0.5776 |
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- | 0.1264 | 23.0 | 391 | 0.5970 |
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- | 0.115 | 24.0 | 408 | 0.5996 |
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- | 0.115 | 25.0 | 425 | 0.5608 |
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- | 0.115 | 26.0 | 442 | 0.5934 |
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- | 0.1169 | 27.0 | 459 | 0.5736 |
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- | 0.1169 | 28.0 | 476 | 0.5878 |
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- | 0.1169 | 29.0 | 493 | 0.5788 |
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- | 0.1044 | 30.0 | 510 | 0.5686 |
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- | 0.1044 | 31.0 | 527 | 0.5921 |
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- | 0.1044 | 32.0 | 544 | 0.5751 |
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- | 0.1017 | 33.0 | 561 | 0.5725 |
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- | 0.1017 | 34.0 | 578 | 0.5998 |
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- | 0.1017 | 35.0 | 595 | 0.5751 |
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- | 0.1012 | 36.0 | 612 | 0.5542 |
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- | 0.1012 | 37.0 | 629 | 0.5582 |
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- | 0.1012 | 38.0 | 646 | 0.5781 |
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- | 0.0985 | 39.0 | 663 | 0.5891 |
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- | 0.0985 | 40.0 | 680 | 0.6118 |
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- | 0.0985 | 41.0 | 697 | 0.5955 |
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- | 0.0889 | 42.0 | 714 | 0.5640 |
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- | 0.0889 | 43.0 | 731 | 0.5858 |
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- | 0.0889 | 44.0 | 748 | 0.5824 |
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- | 0.0829 | 45.0 | 765 | 0.5600 |
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- | 0.0829 | 46.0 | 782 | 0.5715 |
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- | 0.0829 | 47.0 | 799 | 0.5973 |
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- | 0.0836 | 48.0 | 816 | 0.5946 |
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- | 0.0836 | 49.0 | 833 | 0.5662 |
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- | 0.0808 | 50.0 | 850 | 0.5607 |
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- | 0.0808 | 51.0 | 867 | 0.5862 |
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- | 0.0808 | 52.0 | 884 | 0.5909 |
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- | 0.0804 | 53.0 | 901 | 0.6115 |
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- | 0.0804 | 54.0 | 918 | 0.5687 |
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- | 0.0804 | 55.0 | 935 | 0.5498 |
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- | 0.0716 | 56.0 | 952 | 0.5731 |
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- | 0.0716 | 57.0 | 969 | 0.5773 |
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- | 0.0716 | 58.0 | 986 | 0.6124 |
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- | 0.0708 | 59.0 | 1003 | 0.5770 |
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- | 0.0708 | 60.0 | 1020 | 0.5796 |
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- | 0.0708 | 61.0 | 1037 | 0.6078 |
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- | 0.0691 | 62.0 | 1054 | 0.5943 |
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- | 0.0691 | 63.0 | 1071 | 0.5815 |
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- | 0.0691 | 64.0 | 1088 | 0.5821 |
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- | 0.0632 | 65.0 | 1105 | 0.5937 |
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- | 0.0632 | 66.0 | 1122 | 0.5952 |
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- | 0.0632 | 67.0 | 1139 | 0.5750 |
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- | 0.0651 | 68.0 | 1156 | 0.5858 |
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- | 0.0651 | 69.0 | 1173 | 0.5628 |
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- | 0.0651 | 70.0 | 1190 | 0.6015 |
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- | 0.061 | 71.0 | 1207 | 0.5723 |
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- | 0.061 | 72.0 | 1224 | 0.6371 |
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- | 0.061 | 73.0 | 1241 | 0.5871 |
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- | 0.061 | 74.0 | 1258 | 0.5790 |
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- | 0.061 | 75.0 | 1275 | 0.5468 |
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- | 0.061 | 76.0 | 1292 | 0.5888 |
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- | 0.0587 | 77.0 | 1309 | 0.5894 |
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- | 0.0587 | 78.0 | 1326 | 0.5648 |
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- | 0.0587 | 79.0 | 1343 | 0.5584 |
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- | 0.0508 | 80.0 | 1360 | 0.5719 |
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- | 0.0508 | 81.0 | 1377 | 0.5647 |
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- | 0.0508 | 82.0 | 1394 | 0.5777 |
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- | 0.0564 | 83.0 | 1411 | 0.5679 |
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- | 0.0564 | 84.0 | 1428 | 0.5825 |
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- | 0.0564 | 85.0 | 1445 | 0.5910 |
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- | 0.0515 | 86.0 | 1462 | 0.5750 |
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- | 0.0515 | 87.0 | 1479 | 0.5678 |
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- | 0.0515 | 88.0 | 1496 | 0.5874 |
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- | 0.0506 | 89.0 | 1513 | 0.5406 |
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- | 0.0506 | 90.0 | 1530 | 0.5778 |
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- | 0.0506 | 91.0 | 1547 | 0.5842 |
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- | 0.0458 | 92.0 | 1564 | 0.6066 |
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- | 0.0458 | 93.0 | 1581 | 0.5856 |
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- | 0.0458 | 94.0 | 1598 | 0.5821 |
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- | 0.0488 | 95.0 | 1615 | 0.5833 |
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- | 0.0488 | 96.0 | 1632 | 0.5656 |
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- | 0.0488 | 97.0 | 1649 | 0.5955 |
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- | 0.0466 | 98.0 | 1666 | 0.5563 |
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- | 0.0466 | 99.0 | 1683 | 0.5520 |
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- | 0.0453 | 100.0 | 1700 | 0.5834 |
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  ### Framework versions
 
1
  ---
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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
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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: 0.4715
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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 | 17 | 1.0138 |
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+ | No log | 2.0 | 34 | 0.9049 |
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+ | 1.0786 | 3.0 | 51 | 0.7578 |
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+ | 1.0786 | 4.0 | 68 | 0.6868 |
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+ | 1.0786 | 5.0 | 85 | 0.6194 |
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+ | 0.6333 | 6.0 | 102 | 0.6252 |
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+ | 0.6333 | 7.0 | 119 | 0.5737 |
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+ | 0.6333 | 8.0 | 136 | 0.5558 |
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+ | 0.4516 | 9.0 | 153 | 0.5284 |
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+ | 0.4516 | 10.0 | 170 | 0.5306 |
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+ | 0.4516 | 11.0 | 187 | 0.5385 |
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+ | 0.3783 | 12.0 | 204 | 0.5209 |
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+ | 0.3783 | 13.0 | 221 | 0.5044 |
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+ | 0.3783 | 14.0 | 238 | 0.5468 |
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+ | 0.3213 | 15.0 | 255 | 0.4953 |
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+ | 0.3213 | 16.0 | 272 | 0.4678 |
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+ | 0.3213 | 17.0 | 289 | 0.4901 |
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+ | 0.2909 | 18.0 | 306 | 0.5269 |
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+ | 0.2909 | 19.0 | 323 | 0.4885 |
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+ | 0.2909 | 20.0 | 340 | 0.4361 |
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+ | 0.2532 | 21.0 | 357 | 0.4837 |
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+ | 0.2532 | 22.0 | 374 | 0.4971 |
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+ | 0.2532 | 23.0 | 391 | 0.4813 |
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+ | 0.2312 | 24.0 | 408 | 0.4834 |
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+ | 0.2312 | 25.0 | 425 | 0.4834 |
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+ | 0.2312 | 26.0 | 442 | 0.4724 |
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+ | 0.2075 | 27.0 | 459 | 0.4669 |
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+ | 0.2075 | 28.0 | 476 | 0.4541 |
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+ | 0.2075 | 29.0 | 493 | 0.4681 |
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+ | 0.1792 | 30.0 | 510 | 0.5126 |
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+ | 0.1792 | 31.0 | 527 | 0.4681 |
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+ | 0.1792 | 32.0 | 544 | 0.4758 |
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+ | 0.1717 | 33.0 | 561 | 0.4669 |
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+ | 0.1717 | 34.0 | 578 | 0.4921 |
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+ | 0.1717 | 35.0 | 595 | 0.4918 |
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+ | 0.1669 | 36.0 | 612 | 0.4759 |
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+ | 0.1669 | 37.0 | 629 | 0.4758 |
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+ | 0.1669 | 38.0 | 646 | 0.4838 |
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+ | 0.1614 | 39.0 | 663 | 0.4839 |
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+ | 0.1614 | 40.0 | 680 | 0.4564 |
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+ | 0.1614 | 41.0 | 697 | 0.4223 |
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+ | 0.1492 | 42.0 | 714 | 0.5006 |
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+ | 0.1492 | 43.0 | 731 | 0.4495 |
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+ | 0.1492 | 44.0 | 748 | 0.4679 |
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+ | 0.1374 | 45.0 | 765 | 0.4811 |
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+ | 0.1374 | 46.0 | 782 | 0.4657 |
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+ | 0.1374 | 47.0 | 799 | 0.4606 |
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+ | 0.1326 | 48.0 | 816 | 0.4646 |
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+ | 0.1326 | 49.0 | 833 | 0.4896 |
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+ | 0.1323 | 50.0 | 850 | 0.4963 |
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+ | 0.1323 | 51.0 | 867 | 0.4636 |
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+ | 0.1323 | 52.0 | 884 | 0.4806 |
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+ | 0.1255 | 53.0 | 901 | 0.4568 |
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+ | 0.1255 | 54.0 | 918 | 0.4523 |
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+ | 0.1255 | 55.0 | 935 | 0.4607 |
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+ | 0.1178 | 56.0 | 952 | 0.4678 |
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+ | 0.1178 | 57.0 | 969 | 0.4743 |
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+ | 0.1178 | 58.0 | 986 | 0.4830 |
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+ | 0.1105 | 59.0 | 1003 | 0.4721 |
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+ | 0.1105 | 60.0 | 1020 | 0.5013 |
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+ | 0.1105 | 61.0 | 1037 | 0.4657 |
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+ | 0.1108 | 62.0 | 1054 | 0.4672 |
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+ | 0.1108 | 63.0 | 1071 | 0.4606 |
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+ | 0.1108 | 64.0 | 1088 | 0.4321 |
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+ | 0.1085 | 65.0 | 1105 | 0.4613 |
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+ | 0.1085 | 66.0 | 1122 | 0.4911 |
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+ | 0.1085 | 67.0 | 1139 | 0.5074 |
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+ | 0.1 | 68.0 | 1156 | 0.4333 |
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+ | 0.1 | 69.0 | 1173 | 0.4372 |
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+ | 0.1 | 70.0 | 1190 | 0.4237 |
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+ | 0.0987 | 71.0 | 1207 | 0.4571 |
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+ | 0.0987 | 72.0 | 1224 | 0.4450 |
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+ | 0.0987 | 73.0 | 1241 | 0.4535 |
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+ | 0.0943 | 74.0 | 1258 | 0.4631 |
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+ | 0.0943 | 75.0 | 1275 | 0.4858 |
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+ | 0.0943 | 76.0 | 1292 | 0.4881 |
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+ | 0.0906 | 77.0 | 1309 | 0.4838 |
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+ | 0.0906 | 78.0 | 1326 | 0.4543 |
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+ | 0.0906 | 79.0 | 1343 | 0.4522 |
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+ | 0.0933 | 80.0 | 1360 | 0.4555 |
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+ | 0.0933 | 81.0 | 1377 | 0.4306 |
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+ | 0.0933 | 82.0 | 1394 | 0.5012 |
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+ | 0.089 | 83.0 | 1411 | 0.4685 |
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+ | 0.089 | 84.0 | 1428 | 0.4543 |
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+ | 0.089 | 85.0 | 1445 | 0.4630 |
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+ | 0.0812 | 86.0 | 1462 | 0.4715 |
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+ | 0.0812 | 87.0 | 1479 | 0.4896 |
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+ | 0.0812 | 88.0 | 1496 | 0.4587 |
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+ | 0.0779 | 89.0 | 1513 | 0.4929 |
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+ | 0.0779 | 90.0 | 1530 | 0.4443 |
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+ | 0.0779 | 91.0 | 1547 | 0.4598 |
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+ | 0.0783 | 92.0 | 1564 | 0.4413 |
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+ | 0.0783 | 93.0 | 1581 | 0.4412 |
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+ | 0.0783 | 94.0 | 1598 | 0.4456 |
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+ | 0.077 | 95.0 | 1615 | 0.5037 |
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+ | 0.077 | 96.0 | 1632 | 0.4462 |
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+ | 0.077 | 97.0 | 1649 | 0.4611 |
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+ | 0.0819 | 98.0 | 1666 | 0.4617 |
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+ | 0.0819 | 99.0 | 1683 | 0.4344 |
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+ | 0.0765 | 100.0 | 1700 | 0.4715 |
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  ### Framework versions
model.safetensors CHANGED
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  size 25909400
 
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