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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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<!-- 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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# practica_2_model2 |
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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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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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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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### Training results |
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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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### Framework versions |
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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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