--- library_name: transformers license: apache-2.0 base_model: hustvl/yolos-tiny tags: - generated_from_trainer model-index: - name: practica_2 results: [] --- # practica_2 This model is a fine-tuned version of [hustvl/yolos-tiny](https://huggingface.co/hustvl/yolos-tiny) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.4715 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 1e-05 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - num_epochs: 100 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | No log | 1.0 | 17 | 1.0138 | | No log | 2.0 | 34 | 0.9049 | | 1.0786 | 3.0 | 51 | 0.7578 | | 1.0786 | 4.0 | 68 | 0.6868 | | 1.0786 | 5.0 | 85 | 0.6194 | | 0.6333 | 6.0 | 102 | 0.6252 | | 0.6333 | 7.0 | 119 | 0.5737 | | 0.6333 | 8.0 | 136 | 0.5558 | | 0.4516 | 9.0 | 153 | 0.5284 | | 0.4516 | 10.0 | 170 | 0.5306 | | 0.4516 | 11.0 | 187 | 0.5385 | | 0.3783 | 12.0 | 204 | 0.5209 | | 0.3783 | 13.0 | 221 | 0.5044 | | 0.3783 | 14.0 | 238 | 0.5468 | | 0.3213 | 15.0 | 255 | 0.4953 | | 0.3213 | 16.0 | 272 | 0.4678 | | 0.3213 | 17.0 | 289 | 0.4901 | | 0.2909 | 18.0 | 306 | 0.5269 | | 0.2909 | 19.0 | 323 | 0.4885 | | 0.2909 | 20.0 | 340 | 0.4361 | | 0.2532 | 21.0 | 357 | 0.4837 | | 0.2532 | 22.0 | 374 | 0.4971 | | 0.2532 | 23.0 | 391 | 0.4813 | | 0.2312 | 24.0 | 408 | 0.4834 | | 0.2312 | 25.0 | 425 | 0.4834 | | 0.2312 | 26.0 | 442 | 0.4724 | | 0.2075 | 27.0 | 459 | 0.4669 | | 0.2075 | 28.0 | 476 | 0.4541 | | 0.2075 | 29.0 | 493 | 0.4681 | | 0.1792 | 30.0 | 510 | 0.5126 | | 0.1792 | 31.0 | 527 | 0.4681 | | 0.1792 | 32.0 | 544 | 0.4758 | | 0.1717 | 33.0 | 561 | 0.4669 | | 0.1717 | 34.0 | 578 | 0.4921 | | 0.1717 | 35.0 | 595 | 0.4918 | | 0.1669 | 36.0 | 612 | 0.4759 | | 0.1669 | 37.0 | 629 | 0.4758 | | 0.1669 | 38.0 | 646 | 0.4838 | | 0.1614 | 39.0 | 663 | 0.4839 | | 0.1614 | 40.0 | 680 | 0.4564 | | 0.1614 | 41.0 | 697 | 0.4223 | | 0.1492 | 42.0 | 714 | 0.5006 | | 0.1492 | 43.0 | 731 | 0.4495 | | 0.1492 | 44.0 | 748 | 0.4679 | | 0.1374 | 45.0 | 765 | 0.4811 | | 0.1374 | 46.0 | 782 | 0.4657 | | 0.1374 | 47.0 | 799 | 0.4606 | | 0.1326 | 48.0 | 816 | 0.4646 | | 0.1326 | 49.0 | 833 | 0.4896 | | 0.1323 | 50.0 | 850 | 0.4963 | | 0.1323 | 51.0 | 867 | 0.4636 | | 0.1323 | 52.0 | 884 | 0.4806 | | 0.1255 | 53.0 | 901 | 0.4568 | | 0.1255 | 54.0 | 918 | 0.4523 | | 0.1255 | 55.0 | 935 | 0.4607 | | 0.1178 | 56.0 | 952 | 0.4678 | | 0.1178 | 57.0 | 969 | 0.4743 | | 0.1178 | 58.0 | 986 | 0.4830 | | 0.1105 | 59.0 | 1003 | 0.4721 | | 0.1105 | 60.0 | 1020 | 0.5013 | | 0.1105 | 61.0 | 1037 | 0.4657 | | 0.1108 | 62.0 | 1054 | 0.4672 | | 0.1108 | 63.0 | 1071 | 0.4606 | | 0.1108 | 64.0 | 1088 | 0.4321 | | 0.1085 | 65.0 | 1105 | 0.4613 | | 0.1085 | 66.0 | 1122 | 0.4911 | | 0.1085 | 67.0 | 1139 | 0.5074 | | 0.1 | 68.0 | 1156 | 0.4333 | | 0.1 | 69.0 | 1173 | 0.4372 | | 0.1 | 70.0 | 1190 | 0.4237 | | 0.0987 | 71.0 | 1207 | 0.4571 | | 0.0987 | 72.0 | 1224 | 0.4450 | | 0.0987 | 73.0 | 1241 | 0.4535 | | 0.0943 | 74.0 | 1258 | 0.4631 | | 0.0943 | 75.0 | 1275 | 0.4858 | | 0.0943 | 76.0 | 1292 | 0.4881 | | 0.0906 | 77.0 | 1309 | 0.4838 | | 0.0906 | 78.0 | 1326 | 0.4543 | | 0.0906 | 79.0 | 1343 | 0.4522 | | 0.0933 | 80.0 | 1360 | 0.4555 | | 0.0933 | 81.0 | 1377 | 0.4306 | | 0.0933 | 82.0 | 1394 | 0.5012 | | 0.089 | 83.0 | 1411 | 0.4685 | | 0.089 | 84.0 | 1428 | 0.4543 | | 0.089 | 85.0 | 1445 | 0.4630 | | 0.0812 | 86.0 | 1462 | 0.4715 | | 0.0812 | 87.0 | 1479 | 0.4896 | | 0.0812 | 88.0 | 1496 | 0.4587 | | 0.0779 | 89.0 | 1513 | 0.4929 | | 0.0779 | 90.0 | 1530 | 0.4443 | | 0.0779 | 91.0 | 1547 | 0.4598 | | 0.0783 | 92.0 | 1564 | 0.4413 | | 0.0783 | 93.0 | 1581 | 0.4412 | | 0.0783 | 94.0 | 1598 | 0.4456 | | 0.077 | 95.0 | 1615 | 0.5037 | | 0.077 | 96.0 | 1632 | 0.4462 | | 0.077 | 97.0 | 1649 | 0.4611 | | 0.0819 | 98.0 | 1666 | 0.4617 | | 0.0819 | 99.0 | 1683 | 0.4344 | | 0.0765 | 100.0 | 1700 | 0.4715 | ### Framework versions - Transformers 4.48.3 - Pytorch 2.5.1+cu124 - Datasets 3.3.2 - Tokenizers 0.21.0