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dit-base_tobacco-small_tobacco3482_og_simkd

Image Classification
Transformers
Safetensors
vit
Generated from Trainer
Inference Endpoints
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  1. README.md +166 -0
  2. config.json +48 -0
  3. model.safetensors +3 -0
  4. test-logits.npz +3 -0
  5. test-references.npz +3 -0
  6. training_args.bin +3 -0
  7. validation-logits.npz +3 -0
  8. validation-references.npz +3 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: WinKawaks/vit-small-patch16-224
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: dit-base_tobacco-small_tobacco3482_og_simkd
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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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+ # dit-base_tobacco-small_tobacco3482_og_simkd
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+
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+ This model is a fine-tuned version of [WinKawaks/vit-small-patch16-224](https://huggingface.co/WinKawaks/vit-small-patch16-224) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 309.8690
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+ - Accuracy: 0.815
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+ - Brier Loss: 0.3313
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+ - Nll: 1.1190
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+ - F1 Micro: 0.815
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+ - F1 Macro: 0.7825
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+ - Ece: 0.2569
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+ - Aurc: 0.0659
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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: 0.0001
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 100
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | Brier Loss | Nll | F1 Micro | F1 Macro | Ece | Aurc |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:----------:|:------:|:--------:|:--------:|:------:|:------:|
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+ | No log | 1.0 | 50 | 328.2257 | 0.365 | 0.8441 | 5.5835 | 0.3650 | 0.2447 | 0.3371 | 0.4390 |
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+ | No log | 2.0 | 100 | 325.5961 | 0.58 | 0.6442 | 1.8499 | 0.58 | 0.4727 | 0.3233 | 0.2414 |
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+ | No log | 3.0 | 150 | 323.3813 | 0.66 | 0.4759 | 1.5815 | 0.66 | 0.5348 | 0.2704 | 0.1489 |
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+ | No log | 4.0 | 200 | 322.5013 | 0.715 | 0.4234 | 1.6240 | 0.715 | 0.6009 | 0.2382 | 0.1142 |
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+ | No log | 5.0 | 250 | 321.7315 | 0.755 | 0.3532 | 1.2868 | 0.755 | 0.6596 | 0.2141 | 0.0687 |
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+ | No log | 6.0 | 300 | 320.5884 | 0.775 | 0.3668 | 1.4106 | 0.775 | 0.7233 | 0.2284 | 0.0922 |
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+ | No log | 7.0 | 350 | 320.8456 | 0.775 | 0.3638 | 1.4833 | 0.775 | 0.7172 | 0.2487 | 0.0666 |
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+ | No log | 8.0 | 400 | 319.6829 | 0.785 | 0.3308 | 1.3914 | 0.785 | 0.7203 | 0.1959 | 0.0674 |
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+ | No log | 9.0 | 450 | 319.7741 | 0.815 | 0.3459 | 1.3920 | 0.815 | 0.7832 | 0.2541 | 0.0681 |
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+ | 325.907 | 10.0 | 500 | 319.4605 | 0.775 | 0.3162 | 1.2997 | 0.775 | 0.6987 | 0.2140 | 0.0575 |
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+ | 325.907 | 11.0 | 550 | 318.6996 | 0.81 | 0.3190 | 1.2271 | 0.81 | 0.7670 | 0.2110 | 0.0614 |
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+ | 325.907 | 12.0 | 600 | 318.0233 | 0.81 | 0.3183 | 1.2432 | 0.81 | 0.7673 | 0.2134 | 0.0624 |
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+ | 325.907 | 13.0 | 650 | 318.2606 | 0.79 | 0.3259 | 1.2187 | 0.79 | 0.7457 | 0.2299 | 0.0591 |
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+ | 325.907 | 14.0 | 700 | 317.7428 | 0.83 | 0.3183 | 1.3279 | 0.83 | 0.8035 | 0.2449 | 0.0512 |
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+ | 325.907 | 15.0 | 750 | 317.7053 | 0.81 | 0.3251 | 1.2097 | 0.81 | 0.7604 | 0.2193 | 0.0566 |
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+ | 325.907 | 16.0 | 800 | 317.3470 | 0.84 | 0.3142 | 1.2606 | 0.8400 | 0.8132 | 0.2272 | 0.0484 |
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+ | 325.907 | 17.0 | 850 | 316.8029 | 0.815 | 0.3202 | 1.1571 | 0.815 | 0.7748 | 0.2316 | 0.0563 |
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+ | 325.907 | 18.0 | 900 | 316.9777 | 0.805 | 0.3442 | 1.1453 | 0.805 | 0.7645 | 0.2432 | 0.0625 |
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+ | 325.907 | 19.0 | 950 | 316.2359 | 0.815 | 0.3219 | 1.1399 | 0.815 | 0.7717 | 0.2404 | 0.0603 |
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+ | 320.1296 | 20.0 | 1000 | 316.1051 | 0.8 | 0.3220 | 1.1807 | 0.8000 | 0.7500 | 0.2412 | 0.0576 |
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+ | 320.1296 | 21.0 | 1050 | 315.8117 | 0.845 | 0.3099 | 1.0976 | 0.845 | 0.8084 | 0.2530 | 0.0547 |
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+ | 320.1296 | 22.0 | 1100 | 315.7457 | 0.82 | 0.3238 | 1.1904 | 0.82 | 0.7663 | 0.2507 | 0.0548 |
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+ | 320.1296 | 23.0 | 1150 | 315.6591 | 0.82 | 0.3357 | 1.4044 | 0.82 | 0.7925 | 0.2639 | 0.0586 |
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+ | 320.1296 | 24.0 | 1200 | 315.4048 | 0.82 | 0.3270 | 1.0817 | 0.82 | 0.7681 | 0.2575 | 0.0629 |
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+ | 320.1296 | 25.0 | 1250 | 314.9790 | 0.81 | 0.3309 | 1.2002 | 0.81 | 0.7732 | 0.2279 | 0.0656 |
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+ | 320.1296 | 26.0 | 1300 | 314.6778 | 0.79 | 0.3189 | 1.1219 | 0.79 | 0.7464 | 0.2014 | 0.0576 |
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+ | 320.1296 | 27.0 | 1350 | 314.7844 | 0.8 | 0.3345 | 1.0655 | 0.8000 | 0.7555 | 0.2398 | 0.0661 |
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+ | 320.1296 | 28.0 | 1400 | 314.4464 | 0.815 | 0.3175 | 1.1116 | 0.815 | 0.7636 | 0.2426 | 0.0532 |
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+ | 320.1296 | 29.0 | 1450 | 314.3737 | 0.845 | 0.3271 | 1.1042 | 0.845 | 0.8072 | 0.2595 | 0.0531 |
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+ | 317.1926 | 30.0 | 1500 | 313.9464 | 0.82 | 0.3225 | 1.1270 | 0.82 | 0.7841 | 0.2087 | 0.0609 |
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+ | 317.1926 | 31.0 | 1550 | 314.0068 | 0.835 | 0.3187 | 1.1834 | 0.835 | 0.8070 | 0.2470 | 0.0522 |
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+ | 317.1926 | 32.0 | 1600 | 313.8198 | 0.81 | 0.3271 | 1.0324 | 0.81 | 0.7642 | 0.2484 | 0.0609 |
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+ | 317.1926 | 33.0 | 1650 | 313.7599 | 0.83 | 0.3193 | 1.0993 | 0.83 | 0.7910 | 0.2382 | 0.0536 |
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+ | 317.1926 | 34.0 | 1700 | 313.4889 | 0.82 | 0.3224 | 1.1743 | 0.82 | 0.7823 | 0.2587 | 0.0546 |
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+ | 317.1926 | 35.0 | 1750 | 313.2496 | 0.825 | 0.3324 | 1.1041 | 0.825 | 0.7988 | 0.2404 | 0.0652 |
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+ | 317.1926 | 36.0 | 1800 | 313.1823 | 0.83 | 0.3207 | 1.0900 | 0.83 | 0.8007 | 0.2505 | 0.0581 |
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+ | 317.1926 | 37.0 | 1850 | 313.1304 | 0.83 | 0.3367 | 1.2073 | 0.83 | 0.7973 | 0.2615 | 0.0571 |
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+ | 317.1926 | 38.0 | 1900 | 313.2971 | 0.815 | 0.3398 | 1.1045 | 0.815 | 0.7709 | 0.2411 | 0.0641 |
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+ | 317.1926 | 39.0 | 1950 | 313.0526 | 0.815 | 0.3352 | 1.1023 | 0.815 | 0.7744 | 0.2455 | 0.0616 |
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+ | 315.1897 | 40.0 | 2000 | 312.7858 | 0.84 | 0.3231 | 1.0983 | 0.8400 | 0.8096 | 0.2619 | 0.0538 |
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+ | 315.1897 | 41.0 | 2050 | 312.5119 | 0.815 | 0.3290 | 1.1174 | 0.815 | 0.7858 | 0.2540 | 0.0604 |
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+ | 315.1897 | 42.0 | 2100 | 312.5961 | 0.82 | 0.3305 | 1.2144 | 0.82 | 0.7787 | 0.2480 | 0.0572 |
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+ | 315.1897 | 43.0 | 2150 | 312.3510 | 0.825 | 0.3357 | 1.1367 | 0.825 | 0.7936 | 0.2398 | 0.0658 |
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+ | 315.1897 | 44.0 | 2200 | 312.4015 | 0.81 | 0.3303 | 1.1015 | 0.81 | 0.7837 | 0.2488 | 0.0598 |
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+ | 315.1897 | 45.0 | 2250 | 312.2003 | 0.825 | 0.3286 | 1.1810 | 0.825 | 0.7953 | 0.2480 | 0.0614 |
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+ | 315.1897 | 46.0 | 2300 | 312.1683 | 0.825 | 0.3283 | 1.1112 | 0.825 | 0.7881 | 0.2414 | 0.0587 |
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+ | 315.1897 | 47.0 | 2350 | 312.2554 | 0.815 | 0.3433 | 1.1313 | 0.815 | 0.7709 | 0.2579 | 0.0694 |
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+ | 315.1897 | 48.0 | 2400 | 312.0919 | 0.825 | 0.3364 | 1.1074 | 0.825 | 0.7963 | 0.2471 | 0.0636 |
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+ | 315.1897 | 49.0 | 2450 | 312.0760 | 0.82 | 0.3412 | 1.1076 | 0.82 | 0.7859 | 0.2554 | 0.0661 |
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+ | 313.7276 | 50.0 | 2500 | 311.7450 | 0.83 | 0.3245 | 1.1723 | 0.83 | 0.7994 | 0.2512 | 0.0558 |
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+ | 313.7276 | 51.0 | 2550 | 311.5801 | 0.835 | 0.3236 | 1.1056 | 0.835 | 0.7954 | 0.2581 | 0.0576 |
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+ | 313.7276 | 52.0 | 2600 | 311.7016 | 0.83 | 0.3235 | 1.1182 | 0.83 | 0.7988 | 0.2462 | 0.0560 |
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+ | 313.7276 | 53.0 | 2650 | 311.0808 | 0.81 | 0.3308 | 1.0526 | 0.81 | 0.7716 | 0.2401 | 0.0687 |
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+ | 313.7276 | 54.0 | 2700 | 311.3835 | 0.81 | 0.3304 | 1.1210 | 0.81 | 0.7803 | 0.2442 | 0.0604 |
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+ | 313.7276 | 55.0 | 2750 | 311.1007 | 0.825 | 0.3285 | 1.1265 | 0.825 | 0.7931 | 0.2569 | 0.0639 |
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+ | 313.7276 | 56.0 | 2800 | 311.3446 | 0.81 | 0.3273 | 1.1896 | 0.81 | 0.7810 | 0.2342 | 0.0622 |
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+ | 313.7276 | 57.0 | 2850 | 311.0753 | 0.825 | 0.3327 | 1.1225 | 0.825 | 0.7929 | 0.2659 | 0.0668 |
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+ | 313.7276 | 58.0 | 2900 | 311.3600 | 0.825 | 0.3320 | 1.1142 | 0.825 | 0.8000 | 0.2524 | 0.0640 |
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+ | 313.7276 | 59.0 | 2950 | 310.8636 | 0.83 | 0.3242 | 1.1157 | 0.83 | 0.8022 | 0.2416 | 0.0633 |
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+ | 312.6368 | 60.0 | 3000 | 310.7809 | 0.815 | 0.3386 | 1.2166 | 0.815 | 0.7820 | 0.2571 | 0.0702 |
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+ | 312.6368 | 61.0 | 3050 | 310.9625 | 0.825 | 0.3273 | 1.1168 | 0.825 | 0.7923 | 0.2362 | 0.0608 |
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+ | 312.6368 | 62.0 | 3100 | 311.1122 | 0.81 | 0.3369 | 1.1021 | 0.81 | 0.7700 | 0.2433 | 0.0633 |
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+ | 312.6368 | 63.0 | 3150 | 311.1530 | 0.82 | 0.3351 | 1.1108 | 0.82 | 0.7780 | 0.2584 | 0.0615 |
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+ | 312.6368 | 64.0 | 3200 | 310.9366 | 0.8 | 0.3288 | 1.1112 | 0.8000 | 0.7616 | 0.2545 | 0.0609 |
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+ | 312.6368 | 67.0 | 3350 | 310.7344 | 0.805 | 0.3387 | 1.1279 | 0.805 | 0.7646 | 0.2354 | 0.0679 |
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+ | 312.6368 | 68.0 | 3400 | 310.2750 | 0.825 | 0.3323 | 1.1367 | 0.825 | 0.7971 | 0.2514 | 0.0673 |
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+ | 312.6368 | 69.0 | 3450 | 310.5080 | 0.815 | 0.3298 | 1.1049 | 0.815 | 0.7845 | 0.2329 | 0.0664 |
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+ | 311.7616 | 70.0 | 3500 | 310.6353 | 0.81 | 0.3305 | 1.1098 | 0.81 | 0.7745 | 0.2346 | 0.0633 |
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+ | 311.7616 | 71.0 | 3550 | 310.3249 | 0.825 | 0.3286 | 1.1117 | 0.825 | 0.7951 | 0.2455 | 0.0641 |
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+ | 311.7616 | 72.0 | 3600 | 310.5689 | 0.825 | 0.3248 | 1.1079 | 0.825 | 0.7911 | 0.2388 | 0.0586 |
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+ | 311.7616 | 73.0 | 3650 | 310.4175 | 0.82 | 0.3298 | 1.1169 | 0.82 | 0.7859 | 0.2338 | 0.0630 |
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+ | 311.7616 | 74.0 | 3700 | 310.1338 | 0.815 | 0.3313 | 1.1236 | 0.815 | 0.7902 | 0.2558 | 0.0677 |
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+ | 311.7616 | 75.0 | 3750 | 310.4428 | 0.825 | 0.3310 | 1.1269 | 0.825 | 0.7972 | 0.2458 | 0.0606 |
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+ | 311.7616 | 76.0 | 3800 | 310.3477 | 0.81 | 0.3317 | 1.1060 | 0.81 | 0.7775 | 0.2392 | 0.0654 |
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+ | 311.7616 | 77.0 | 3850 | 310.2144 | 0.815 | 0.3294 | 1.1076 | 0.815 | 0.7857 | 0.2387 | 0.0627 |
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+ | 311.7616 | 78.0 | 3900 | 310.1073 | 0.82 | 0.3296 | 1.1246 | 0.82 | 0.7993 | 0.2496 | 0.0634 |
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+ | 311.7616 | 79.0 | 3950 | 310.1449 | 0.805 | 0.3246 | 1.1134 | 0.805 | 0.7734 | 0.2277 | 0.0627 |
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+ | 311.1587 | 80.0 | 4000 | 310.1684 | 0.81 | 0.3327 | 1.1094 | 0.81 | 0.7781 | 0.2493 | 0.0660 |
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+ | 311.1587 | 81.0 | 4050 | 310.1772 | 0.815 | 0.3311 | 1.1129 | 0.815 | 0.7876 | 0.2447 | 0.0668 |
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+ | 311.1587 | 82.0 | 4100 | 309.9326 | 0.805 | 0.3295 | 1.1172 | 0.805 | 0.7716 | 0.2508 | 0.0666 |
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+ | 311.1587 | 83.0 | 4150 | 310.1067 | 0.805 | 0.3330 | 1.1209 | 0.805 | 0.7756 | 0.2252 | 0.0653 |
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+ | 311.1587 | 84.0 | 4200 | 309.9362 | 0.825 | 0.3288 | 1.1150 | 0.825 | 0.8024 | 0.2500 | 0.0637 |
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+ | 311.1587 | 85.0 | 4250 | 309.6593 | 0.81 | 0.3292 | 1.1226 | 0.81 | 0.7723 | 0.2306 | 0.0680 |
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+ | 311.1587 | 86.0 | 4300 | 309.9828 | 0.8 | 0.3310 | 1.1252 | 0.8000 | 0.7643 | 0.2474 | 0.0662 |
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+ | 311.1587 | 88.0 | 4400 | 309.8688 | 0.815 | 0.3320 | 1.1145 | 0.815 | 0.7824 | 0.2478 | 0.0675 |
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+ | 311.1587 | 89.0 | 4450 | 310.0577 | 0.81 | 0.3324 | 1.1160 | 0.81 | 0.7810 | 0.2475 | 0.0648 |
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+ | 310.732 | 90.0 | 4500 | 309.8999 | 0.81 | 0.3273 | 1.1120 | 0.81 | 0.7720 | 0.2356 | 0.0624 |
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+ | 310.732 | 91.0 | 4550 | 309.7399 | 0.815 | 0.3256 | 1.1164 | 0.815 | 0.7824 | 0.2502 | 0.0649 |
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+ | 310.732 | 92.0 | 4600 | 309.9419 | 0.805 | 0.3287 | 1.1183 | 0.805 | 0.7751 | 0.2353 | 0.0640 |
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+ | 310.732 | 93.0 | 4650 | 309.9055 | 0.81 | 0.3268 | 1.1194 | 0.81 | 0.7761 | 0.2429 | 0.0613 |
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+ | 310.732 | 94.0 | 4700 | 309.7320 | 0.82 | 0.3275 | 1.1117 | 0.82 | 0.7914 | 0.2408 | 0.0654 |
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+ | 310.732 | 95.0 | 4750 | 309.9635 | 0.81 | 0.3334 | 1.1067 | 0.81 | 0.7747 | 0.2317 | 0.0637 |
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+ | 310.732 | 96.0 | 4800 | 309.9630 | 0.805 | 0.3304 | 1.1165 | 0.805 | 0.7712 | 0.2316 | 0.0631 |
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+ | 310.732 | 97.0 | 4850 | 309.8564 | 0.815 | 0.3263 | 1.1130 | 0.815 | 0.7870 | 0.2355 | 0.0619 |
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+ | 310.732 | 98.0 | 4900 | 309.7815 | 0.815 | 0.3298 | 1.1198 | 0.815 | 0.7857 | 0.2386 | 0.0634 |
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+ | 310.5225 | 100.0 | 5000 | 309.8690 | 0.815 | 0.3313 | 1.1190 | 0.815 | 0.7825 | 0.2569 | 0.0659 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.36.0.dev0
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+ - Pytorch 2.2.0.dev20231112+cu118
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+ - Datasets 2.14.5
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+ - Tokenizers 0.14.1
config.json ADDED
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+ {
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+ "_name_or_path": "WinKawaks/vit-small-patch16-224",
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+ "architectures": [
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+ "ViTForImageClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.0,
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+ "encoder_stride": 16,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.0,
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+ "hidden_size": 384,
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+ "id2label": {
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+ "0": "ADVE",
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+ "1": "Email",
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+ "2": "Form",
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+ "3": "Letter",
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+ "4": "Memo",
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+ "5": "News",
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+ "6": "Note",
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+ "7": "Report",
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+ "8": "Resume",
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+ "9": "Scientific"
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+ },
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+ "image_size": 224,
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+ "ADVE": 0,
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+ "Email": 1,
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+ "Form": 2,
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+ "Letter": 3,
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+ "Memo": 4,
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+ "News": 5,
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+ "Note": 6,
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+ "Report": 7,
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+ "Resume": 8,
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+ "Scientific": 9
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+ },
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+ "layer_norm_eps": 1e-12,
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+ "model_type": "vit",
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+ "num_attention_heads": 6,
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+ "num_channels": 3,
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+ "num_hidden_layers": 12,
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+ "patch_size": 16,
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+ "problem_type": "single_label_classification",
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+ "qkv_bias": true,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.36.0.dev0"
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+ }
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:8c8a0d3aeb72b356491fd79372f287727f403d4077db78388b3a4b378ce3b7a5
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+ size 7612
validation-references.npz ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:0354b78de1e153edfd908a412b596b1a05abea3df9a94323763cbb1ee2631790
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+ size 423