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practica_2_model2

Object Detection
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detr
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README.md ADDED
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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:
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+ - name: practica_2_model2
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # practica_2_model2
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+
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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: 0.3766
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 1e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - num_epochs: 100
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+ - mixed_precision_training: Native AMP
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+
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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 | 17 | 0.9447 |
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+ | No log | 2.0 | 34 | 0.9111 |
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+ | 1.0504 | 3.0 | 51 | 0.7995 |
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+ | 1.0504 | 4.0 | 68 | 0.7310 |
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+ | 1.0504 | 5.0 | 85 | 0.6850 |
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+ | 0.7808 | 6.0 | 102 | 0.6665 |
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+ | 0.7808 | 7.0 | 119 | 0.6733 |
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+ | 0.7808 | 8.0 | 136 | 0.5836 |
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+ | 0.6128 | 9.0 | 153 | 0.5371 |
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+ | 0.6128 | 10.0 | 170 | 0.5584 |
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+ | 0.6128 | 11.0 | 187 | 0.5198 |
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+ | 0.504 | 12.0 | 204 | 0.4960 |
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+ | 0.504 | 13.0 | 221 | 0.4524 |
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+ | 0.504 | 14.0 | 238 | 0.5036 |
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+ | 0.4324 | 15.0 | 255 | 0.4910 |
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+ | 0.4324 | 16.0 | 272 | 0.4838 |
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+ | 0.4324 | 17.0 | 289 | 0.4706 |
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+ | 0.3837 | 18.0 | 306 | 0.4151 |
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+ | 0.3837 | 19.0 | 323 | 0.4629 |
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+ | 0.3837 | 20.0 | 340 | 0.4957 |
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+ | 0.3792 | 21.0 | 357 | 0.3997 |
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+ | 0.3792 | 22.0 | 374 | 0.5092 |
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+ | 0.3792 | 23.0 | 391 | 0.4898 |
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+ | 0.3622 | 24.0 | 408 | 0.4457 |
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+ | 0.3622 | 25.0 | 425 | 0.4580 |
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+ | 0.3622 | 26.0 | 442 | 0.4016 |
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+ | 0.3735 | 27.0 | 459 | 0.4088 |
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+ | 0.3735 | 28.0 | 476 | 0.4354 |
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+ | 0.3735 | 29.0 | 493 | 0.4236 |
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+ | 0.3106 | 30.0 | 510 | 0.4381 |
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+ | 0.3106 | 31.0 | 527 | 0.3804 |
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+ | 0.3106 | 32.0 | 544 | 0.3955 |
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+ | 0.3048 | 33.0 | 561 | 0.4086 |
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+ | 0.3048 | 34.0 | 578 | 0.4342 |
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+ | 0.3048 | 35.0 | 595 | 0.3663 |
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+ | 0.2901 | 36.0 | 612 | 0.4711 |
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+ | 0.2901 | 37.0 | 629 | 0.4031 |
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+ | 0.2901 | 38.0 | 646 | 0.3623 |
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+ | 0.2798 | 39.0 | 663 | 0.4112 |
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+ | 0.2798 | 40.0 | 680 | 0.3581 |
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+ | 0.2798 | 41.0 | 697 | 0.3723 |
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+ | 0.2669 | 42.0 | 714 | 0.4367 |
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+ | 0.2669 | 43.0 | 731 | 0.3548 |
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+ | 0.2669 | 44.0 | 748 | 0.3789 |
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+ | 0.2486 | 45.0 | 765 | 0.3873 |
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+ | 0.2486 | 46.0 | 782 | 0.3687 |
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+ | 0.2486 | 47.0 | 799 | 0.3990 |
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+ | 0.2401 | 48.0 | 816 | 0.3698 |
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+ | 0.2401 | 49.0 | 833 | 0.3697 |
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+ | 0.2432 | 50.0 | 850 | 0.4309 |
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+ | 0.2432 | 51.0 | 867 | 0.3439 |
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+ | 0.2432 | 52.0 | 884 | 0.3556 |
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+ | 0.2319 | 53.0 | 901 | 0.3514 |
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+ | 0.2319 | 54.0 | 918 | 0.3402 |
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+ | 0.2319 | 55.0 | 935 | 0.3706 |
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+ | 0.2179 | 56.0 | 952 | 0.3511 |
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+ | 0.2179 | 57.0 | 969 | 0.3479 |
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+ | 0.2179 | 58.0 | 986 | 0.4039 |
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+ | 0.2192 | 59.0 | 1003 | 0.3684 |
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+ | 0.2192 | 60.0 | 1020 | 0.3531 |
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+ | 0.2192 | 61.0 | 1037 | 0.3475 |
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+ | 0.2087 | 62.0 | 1054 | 0.3374 |
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+ | 0.2087 | 63.0 | 1071 | 0.3321 |
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+ | 0.2087 | 64.0 | 1088 | 0.3440 |
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+ | 0.2001 | 65.0 | 1105 | 0.3741 |
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+ | 0.2001 | 66.0 | 1122 | 0.3493 |
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+ | 0.2001 | 67.0 | 1139 | 0.4159 |
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+ | 0.1992 | 68.0 | 1156 | 0.3376 |
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+ | 0.1992 | 69.0 | 1173 | 0.3495 |
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+ | 0.1992 | 70.0 | 1190 | 0.3530 |
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+ | 0.1899 | 71.0 | 1207 | 0.3254 |
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+ | 0.1899 | 72.0 | 1224 | 0.3796 |
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+ | 0.1899 | 73.0 | 1241 | 0.3437 |
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+ | 0.1861 | 74.0 | 1258 | 0.3489 |
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+ | 0.1861 | 75.0 | 1275 | 0.3398 |
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+ | 0.1861 | 76.0 | 1292 | 0.3929 |
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+ | 0.1896 | 77.0 | 1309 | 0.3382 |
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+ | 0.1896 | 78.0 | 1326 | 0.3609 |
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+ | 0.1896 | 79.0 | 1343 | 0.3501 |
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+ | 0.1859 | 80.0 | 1360 | 0.3392 |
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+ | 0.1859 | 81.0 | 1377 | 0.3448 |
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+ | 0.1859 | 82.0 | 1394 | 0.3621 |
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+ | 0.1808 | 83.0 | 1411 | 0.3525 |
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+ | 0.1808 | 84.0 | 1428 | 0.3553 |
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+ | 0.1808 | 85.0 | 1445 | 0.3645 |
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+ | 0.1843 | 86.0 | 1462 | 0.3306 |
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+ | 0.1843 | 87.0 | 1479 | 0.3627 |
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+ | 0.1843 | 88.0 | 1496 | 0.3497 |
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+ | 0.1743 | 89.0 | 1513 | 0.3892 |
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+ | 0.1743 | 90.0 | 1530 | 0.3410 |
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+ | 0.1743 | 91.0 | 1547 | 0.3568 |
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+ | 0.1689 | 92.0 | 1564 | 0.3409 |
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+ | 0.1689 | 93.0 | 1581 | 0.3505 |
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+ | 0.1689 | 94.0 | 1598 | 0.3536 |
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+ | 0.1675 | 95.0 | 1615 | 0.3792 |
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+ | 0.1675 | 96.0 | 1632 | 0.3321 |
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+ | 0.1675 | 97.0 | 1649 | 0.3489 |
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+ | 0.1734 | 98.0 | 1666 | 0.3374 |
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+ | 0.1734 | 99.0 | 1683 | 0.3417 |
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+ | 0.1689 | 100.0 | 1700 | 0.3766 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.48.3
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+ - Pytorch 2.5.1+cu124
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+ - Datasets 3.3.2
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+ - Tokenizers 0.21.0
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