Instructions to use polejowska/swin-tiny-patch4-window7-224-eurosat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use polejowska/swin-tiny-patch4-window7-224-eurosat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="polejowska/swin-tiny-patch4-window7-224-eurosat") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("polejowska/swin-tiny-patch4-window7-224-eurosat") model = AutoModelForImageClassification.from_pretrained("polejowska/swin-tiny-patch4-window7-224-eurosat") - Notebooks
- Google Colab
- Kaggle
| { | |
| "best_metric": 0.9851851851851852, | |
| "best_model_checkpoint": "swin-tiny-patch4-window7-224-eurosat/checkpoint-588", | |
| "epoch": 4.99492385786802, | |
| "global_step": 735, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.07, | |
| "learning_rate": 6.7567567567567575e-06, | |
| "loss": 2.2699, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.14, | |
| "learning_rate": 1.3513513513513515e-05, | |
| "loss": 2.0753, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "learning_rate": 2.0270270270270273e-05, | |
| "loss": 1.6254, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.27, | |
| "learning_rate": 2.702702702702703e-05, | |
| "loss": 0.9696, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.34, | |
| "learning_rate": 3.3783783783783784e-05, | |
| "loss": 0.529, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.41, | |
| "learning_rate": 4.0540540540540545e-05, | |
| "loss": 0.358, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 0.47, | |
| "learning_rate": 4.72972972972973e-05, | |
| "loss": 0.24, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 0.54, | |
| "learning_rate": 4.9546142208774585e-05, | |
| "loss": 0.2678, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.61, | |
| "learning_rate": 4.878971255673222e-05, | |
| "loss": 0.2537, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 0.68, | |
| "learning_rate": 4.803328290468986e-05, | |
| "loss": 0.1921, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.74, | |
| "learning_rate": 4.7276853252647505e-05, | |
| "loss": 0.1691, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 0.81, | |
| "learning_rate": 4.652042360060514e-05, | |
| "loss": 0.1716, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 0.88, | |
| "learning_rate": 4.576399394856278e-05, | |
| "loss": 0.1516, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 0.95, | |
| "learning_rate": 4.5007564296520425e-05, | |
| "loss": 0.1547, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 0.99, | |
| "eval_accuracy": 0.9711111111111111, | |
| "eval_loss": 0.09559287130832672, | |
| "eval_runtime": 38.4532, | |
| "eval_samples_per_second": 105.323, | |
| "eval_steps_per_second": 3.303, | |
| "step": 147 | |
| }, | |
| { | |
| "epoch": 1.02, | |
| "learning_rate": 4.425113464447806e-05, | |
| "loss": 0.1434, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 1.09, | |
| "learning_rate": 4.34947049924357e-05, | |
| "loss": 0.0951, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 1.16, | |
| "learning_rate": 4.2738275340393345e-05, | |
| "loss": 0.1042, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 1.22, | |
| "learning_rate": 4.198184568835098e-05, | |
| "loss": 0.0972, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 1.29, | |
| "learning_rate": 4.122541603630862e-05, | |
| "loss": 0.0714, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 1.36, | |
| "learning_rate": 4.0468986384266265e-05, | |
| "loss": 0.1095, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 1.43, | |
| "learning_rate": 3.97125567322239e-05, | |
| "loss": 0.0779, | |
| "step": 210 | |
| }, | |
| { | |
| "epoch": 1.49, | |
| "learning_rate": 3.895612708018154e-05, | |
| "loss": 0.0869, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 1.56, | |
| "learning_rate": 3.8199697428139184e-05, | |
| "loss": 0.0936, | |
| "step": 230 | |
| }, | |
| { | |
| "epoch": 1.63, | |
| "learning_rate": 3.744326777609682e-05, | |
| "loss": 0.092, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 1.7, | |
| "learning_rate": 3.668683812405446e-05, | |
| "loss": 0.1006, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 1.76, | |
| "learning_rate": 3.5930408472012104e-05, | |
| "loss": 0.0909, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 1.83, | |
| "learning_rate": 3.517397881996974e-05, | |
| "loss": 0.0705, | |
| "step": 270 | |
| }, | |
| { | |
| "epoch": 1.9, | |
| "learning_rate": 3.441754916792738e-05, | |
| "loss": 0.0935, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 1.97, | |
| "learning_rate": 3.3661119515885024e-05, | |
| "loss": 0.0707, | |
| "step": 290 | |
| }, | |
| { | |
| "epoch": 1.99, | |
| "eval_accuracy": 0.9733333333333334, | |
| "eval_loss": 0.07587520033121109, | |
| "eval_runtime": 25.8049, | |
| "eval_samples_per_second": 156.947, | |
| "eval_steps_per_second": 4.922, | |
| "step": 294 | |
| }, | |
| { | |
| "epoch": 2.04, | |
| "learning_rate": 3.290468986384266e-05, | |
| "loss": 0.0665, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 2.11, | |
| "learning_rate": 3.21482602118003e-05, | |
| "loss": 0.0556, | |
| "step": 310 | |
| }, | |
| { | |
| "epoch": 2.18, | |
| "learning_rate": 3.1391830559757944e-05, | |
| "loss": 0.0517, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 2.24, | |
| "learning_rate": 3.063540090771558e-05, | |
| "loss": 0.0705, | |
| "step": 330 | |
| }, | |
| { | |
| "epoch": 2.31, | |
| "learning_rate": 2.9878971255673223e-05, | |
| "loss": 0.071, | |
| "step": 340 | |
| }, | |
| { | |
| "epoch": 2.38, | |
| "learning_rate": 2.9122541603630864e-05, | |
| "loss": 0.0466, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 2.45, | |
| "learning_rate": 2.83661119515885e-05, | |
| "loss": 0.0351, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 2.51, | |
| "learning_rate": 2.7609682299546143e-05, | |
| "loss": 0.0698, | |
| "step": 370 | |
| }, | |
| { | |
| "epoch": 2.58, | |
| "learning_rate": 2.6853252647503784e-05, | |
| "loss": 0.0423, | |
| "step": 380 | |
| }, | |
| { | |
| "epoch": 2.65, | |
| "learning_rate": 2.609682299546142e-05, | |
| "loss": 0.0475, | |
| "step": 390 | |
| }, | |
| { | |
| "epoch": 2.72, | |
| "learning_rate": 2.5340393343419063e-05, | |
| "loss": 0.0491, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 2.79, | |
| "learning_rate": 2.45839636913767e-05, | |
| "loss": 0.0403, | |
| "step": 410 | |
| }, | |
| { | |
| "epoch": 2.85, | |
| "learning_rate": 2.382753403933434e-05, | |
| "loss": 0.0569, | |
| "step": 420 | |
| }, | |
| { | |
| "epoch": 2.92, | |
| "learning_rate": 2.3071104387291982e-05, | |
| "loss": 0.0509, | |
| "step": 430 | |
| }, | |
| { | |
| "epoch": 2.99, | |
| "learning_rate": 2.231467473524962e-05, | |
| "loss": 0.0537, | |
| "step": 440 | |
| }, | |
| { | |
| "epoch": 2.99, | |
| "eval_accuracy": 0.9767901234567902, | |
| "eval_loss": 0.06802858412265778, | |
| "eval_runtime": 35.3363, | |
| "eval_samples_per_second": 114.613, | |
| "eval_steps_per_second": 3.594, | |
| "step": 441 | |
| }, | |
| { | |
| "epoch": 3.06, | |
| "learning_rate": 2.155824508320726e-05, | |
| "loss": 0.0502, | |
| "step": 450 | |
| }, | |
| { | |
| "epoch": 3.13, | |
| "learning_rate": 2.0801815431164902e-05, | |
| "loss": 0.0452, | |
| "step": 460 | |
| }, | |
| { | |
| "epoch": 3.2, | |
| "learning_rate": 2.004538577912254e-05, | |
| "loss": 0.0352, | |
| "step": 470 | |
| }, | |
| { | |
| "epoch": 3.26, | |
| "learning_rate": 1.928895612708018e-05, | |
| "loss": 0.0385, | |
| "step": 480 | |
| }, | |
| { | |
| "epoch": 3.33, | |
| "learning_rate": 1.8532526475037822e-05, | |
| "loss": 0.0441, | |
| "step": 490 | |
| }, | |
| { | |
| "epoch": 3.4, | |
| "learning_rate": 1.777609682299546e-05, | |
| "loss": 0.0394, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 3.47, | |
| "learning_rate": 1.70196671709531e-05, | |
| "loss": 0.0351, | |
| "step": 510 | |
| }, | |
| { | |
| "epoch": 3.53, | |
| "learning_rate": 1.6263237518910742e-05, | |
| "loss": 0.0251, | |
| "step": 520 | |
| }, | |
| { | |
| "epoch": 3.6, | |
| "learning_rate": 1.550680786686838e-05, | |
| "loss": 0.044, | |
| "step": 530 | |
| }, | |
| { | |
| "epoch": 3.67, | |
| "learning_rate": 1.4750378214826023e-05, | |
| "loss": 0.0246, | |
| "step": 540 | |
| }, | |
| { | |
| "epoch": 3.74, | |
| "learning_rate": 1.3993948562783662e-05, | |
| "loss": 0.0252, | |
| "step": 550 | |
| }, | |
| { | |
| "epoch": 3.81, | |
| "learning_rate": 1.3237518910741301e-05, | |
| "loss": 0.0305, | |
| "step": 560 | |
| }, | |
| { | |
| "epoch": 3.87, | |
| "learning_rate": 1.248108925869894e-05, | |
| "loss": 0.0219, | |
| "step": 570 | |
| }, | |
| { | |
| "epoch": 3.94, | |
| "learning_rate": 1.172465960665658e-05, | |
| "loss": 0.0302, | |
| "step": 580 | |
| }, | |
| { | |
| "epoch": 3.99, | |
| "eval_accuracy": 0.9851851851851852, | |
| "eval_loss": 0.044658709317445755, | |
| "eval_runtime": 25.6563, | |
| "eval_samples_per_second": 157.856, | |
| "eval_steps_per_second": 4.95, | |
| "step": 588 | |
| }, | |
| { | |
| "epoch": 4.01, | |
| "learning_rate": 1.0968229954614221e-05, | |
| "loss": 0.0154, | |
| "step": 590 | |
| }, | |
| { | |
| "epoch": 4.08, | |
| "learning_rate": 1.021180030257186e-05, | |
| "loss": 0.0225, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 4.15, | |
| "learning_rate": 9.4553706505295e-06, | |
| "loss": 0.0181, | |
| "step": 610 | |
| }, | |
| { | |
| "epoch": 4.22, | |
| "learning_rate": 8.698940998487141e-06, | |
| "loss": 0.0199, | |
| "step": 620 | |
| }, | |
| { | |
| "epoch": 4.28, | |
| "learning_rate": 7.94251134644478e-06, | |
| "loss": 0.0254, | |
| "step": 630 | |
| }, | |
| { | |
| "epoch": 4.35, | |
| "learning_rate": 7.186081694402421e-06, | |
| "loss": 0.0244, | |
| "step": 640 | |
| }, | |
| { | |
| "epoch": 4.42, | |
| "learning_rate": 6.429652042360061e-06, | |
| "loss": 0.0181, | |
| "step": 650 | |
| }, | |
| { | |
| "epoch": 4.49, | |
| "learning_rate": 5.6732223903177e-06, | |
| "loss": 0.0154, | |
| "step": 660 | |
| }, | |
| { | |
| "epoch": 4.55, | |
| "learning_rate": 4.9167927382753406e-06, | |
| "loss": 0.0164, | |
| "step": 670 | |
| }, | |
| { | |
| "epoch": 4.62, | |
| "learning_rate": 4.16036308623298e-06, | |
| "loss": 0.0111, | |
| "step": 680 | |
| }, | |
| { | |
| "epoch": 4.69, | |
| "learning_rate": 3.40393343419062e-06, | |
| "loss": 0.0199, | |
| "step": 690 | |
| }, | |
| { | |
| "epoch": 4.76, | |
| "learning_rate": 2.64750378214826e-06, | |
| "loss": 0.0191, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 4.83, | |
| "learning_rate": 1.8910741301059002e-06, | |
| "loss": 0.0171, | |
| "step": 710 | |
| }, | |
| { | |
| "epoch": 4.89, | |
| "learning_rate": 1.13464447806354e-06, | |
| "loss": 0.0164, | |
| "step": 720 | |
| }, | |
| { | |
| "epoch": 4.96, | |
| "learning_rate": 3.7821482602118004e-07, | |
| "loss": 0.0225, | |
| "step": 730 | |
| }, | |
| { | |
| "epoch": 4.99, | |
| "eval_accuracy": 0.9837037037037037, | |
| "eval_loss": 0.048928551375865936, | |
| "eval_runtime": 25.2637, | |
| "eval_samples_per_second": 160.309, | |
| "eval_steps_per_second": 5.027, | |
| "step": 735 | |
| }, | |
| { | |
| "epoch": 4.99, | |
| "step": 735, | |
| "total_flos": 2.347327658721411e+18, | |
| "train_loss": 0.1689021515602968, | |
| "train_runtime": 1731.9704, | |
| "train_samples_per_second": 54.562, | |
| "train_steps_per_second": 0.424 | |
| } | |
| ], | |
| "max_steps": 735, | |
| "num_train_epochs": 5, | |
| "total_flos": 2.347327658721411e+18, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |