jialicheng
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Upload folder using huggingface_hub
Browse files- README.md +361 -0
- all_results.json +17 -0
- checkpoint-13320/config.json +258 -0
- checkpoint-13320/model.safetensors +3 -0
- checkpoint-13320/optimizer.pt +3 -0
- checkpoint-13320/preprocessor_config.json +36 -0
- checkpoint-13320/rng_state.pth +3 -0
- checkpoint-13320/scheduler.pt +3 -0
- checkpoint-13320/trainer_state.json +0 -0
- checkpoint-13320/training_args.bin +3 -0
- config.json +258 -0
- dr_results.json +8 -0
- model.safetensors +3 -0
- preprocessor_config.json +36 -0
- test_results.json +8 -0
- train_results.json +7 -0
- trainer_state.json +0 -0
- training_args.bin +3 -0
README.md
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1 |
+
---
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license: apache-2.0
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base_model: microsoft/swin-base-patch4-window7-224
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tags:
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- image-classification
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- vision
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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: swin-base
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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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+
# swin-base
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+
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This model is a fine-tuned version of [microsoft/swin-base-patch4-window7-224](https://huggingface.co/microsoft/swin-base-patch4-window7-224) on the cifar100 dataset.
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+
It achieves the following results on the evaluation set:
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- Loss: 0.3503
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- Accuracy: 0.9226
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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: 128
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- eval_batch_size: 256
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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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- num_epochs: 300
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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53 |
+
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
|
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| 1.4475 | 1.0 | 333 | 0.8145 | 0.8024 |
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| 1.1153 | 2.0 | 666 | 0.4367 | 0.8751 |
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| 0.9219 | 3.0 | 999 | 0.3546 | 0.8946 |
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| 0.8802 | 4.0 | 1332 | 0.3216 | 0.9027 |
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| 0.7332 | 5.0 | 1665 | 0.3025 | 0.9069 |
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| 0.6719 | 6.0 | 1998 | 0.2940 | 0.9098 |
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| 0.6996 | 7.0 | 2331 | 0.2785 | 0.9141 |
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| 0.7023 | 8.0 | 2664 | 0.2729 | 0.9165 |
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| 0.6376 | 9.0 | 2997 | 0.2657 | 0.9194 |
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| 0.571 | 10.0 | 3330 | 0.2617 | 0.9209 |
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| 0.6006 | 11.0 | 3663 | 0.2636 | 0.9215 |
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| 0.5471 | 12.0 | 3996 | 0.2517 | 0.9239 |
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| 0.6324 | 13.0 | 4329 | 0.2520 | 0.9226 |
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| 0.56 | 14.0 | 4662 | 0.2530 | 0.924 |
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| 0.5821 | 15.0 | 4995 | 0.2569 | 0.9217 |
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| 0.5203 | 16.0 | 5328 | 0.2476 | 0.9278 |
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| 0.5387 | 17.0 | 5661 | 0.2518 | 0.9264 |
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| 0.4921 | 18.0 | 5994 | 0.2475 | 0.9282 |
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| 0.413 | 19.0 | 6327 | 0.2516 | 0.9271 |
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| 0.4612 | 20.0 | 6660 | 0.2538 | 0.9242 |
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| 0.4903 | 21.0 | 6993 | 0.2556 | 0.9262 |
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| 0.4953 | 22.0 | 7326 | 0.2501 | 0.9271 |
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| 0.4922 | 23.0 | 7659 | 0.2486 | 0.9277 |
|
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| 0.4603 | 24.0 | 7992 | 0.2550 | 0.9234 |
|
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| 0.4405 | 25.0 | 8325 | 0.2476 | 0.9285 |
|
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| 0.4867 | 26.0 | 8658 | 0.2482 | 0.9295 |
|
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| 0.4414 | 27.0 | 8991 | 0.2540 | 0.9267 |
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| 0.4574 | 28.0 | 9324 | 0.2494 | 0.9287 |
|
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| 0.4109 | 29.0 | 9657 | 0.2533 | 0.928 |
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| 0.4433 | 30.0 | 9990 | 0.2571 | 0.9258 |
|
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| 0.4034 | 31.0 | 10323 | 0.2543 | 0.9265 |
|
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| 0.4203 | 32.0 | 10656 | 0.2587 | 0.9286 |
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| 0.3942 | 33.0 | 10989 | 0.2555 | 0.927 |
|
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| 0.3991 | 34.0 | 11322 | 0.2564 | 0.9271 |
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| 0.4252 | 35.0 | 11655 | 0.2603 | 0.925 |
|
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| 0.4393 | 36.0 | 11988 | 0.2574 | 0.9288 |
|
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| 0.3949 | 37.0 | 12321 | 0.2638 | 0.9279 |
|
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| 0.4458 | 38.0 | 12654 | 0.2582 | 0.9281 |
|
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| 0.3999 | 39.0 | 12987 | 0.2581 | 0.928 |
|
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| 0.3887 | 40.0 | 13320 | 0.2575 | 0.9301 |
|
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| 0.4101 | 41.0 | 13653 | 0.2620 | 0.9278 |
|
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| 0.3987 | 42.0 | 13986 | 0.2627 | 0.928 |
|
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| 0.3514 | 43.0 | 14319 | 0.2660 | 0.9287 |
|
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| 0.3916 | 44.0 | 14652 | 0.2670 | 0.9287 |
|
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| 0.3798 | 45.0 | 14985 | 0.2696 | 0.9272 |
|
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| 0.3352 | 46.0 | 15318 | 0.2726 | 0.9264 |
|
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| 0.3703 | 47.0 | 15651 | 0.2781 | 0.926 |
|
101 |
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| 0.3596 | 48.0 | 15984 | 0.2747 | 0.9274 |
|
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| 0.385 | 49.0 | 16317 | 0.2769 | 0.9257 |
|
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| 0.3716 | 50.0 | 16650 | 0.2769 | 0.9268 |
|
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| 0.3305 | 51.0 | 16983 | 0.2756 | 0.9257 |
|
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| 0.354 | 52.0 | 17316 | 0.2759 | 0.927 |
|
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| 0.3543 | 53.0 | 17649 | 0.2825 | 0.927 |
|
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| 0.3333 | 54.0 | 17982 | 0.2766 | 0.9277 |
|
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| 0.3695 | 55.0 | 18315 | 0.2737 | 0.9293 |
|
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| 0.3945 | 56.0 | 18648 | 0.2760 | 0.9282 |
|
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| 0.3315 | 57.0 | 18981 | 0.2749 | 0.9288 |
|
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| 0.3012 | 58.0 | 19314 | 0.2747 | 0.9283 |
|
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| 0.3261 | 59.0 | 19647 | 0.2812 | 0.9283 |
|
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| 0.2817 | 60.0 | 19980 | 0.2754 | 0.9285 |
|
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| 0.3039 | 61.0 | 20313 | 0.2819 | 0.929 |
|
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| 0.306 | 62.0 | 20646 | 0.2816 | 0.9293 |
|
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| 0.3166 | 63.0 | 20979 | 0.2839 | 0.9265 |
|
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| 0.3471 | 64.0 | 21312 | 0.2799 | 0.9289 |
|
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| 0.2996 | 65.0 | 21645 | 0.2848 | 0.9259 |
|
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| 0.3252 | 66.0 | 21978 | 0.2840 | 0.9278 |
|
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| 0.324 | 67.0 | 22311 | 0.2853 | 0.9273 |
|
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| 0.2911 | 68.0 | 22644 | 0.2839 | 0.9282 |
|
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| 0.2852 | 69.0 | 22977 | 0.2892 | 0.927 |
|
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| 0.3154 | 70.0 | 23310 | 0.2902 | 0.928 |
|
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| 0.3402 | 71.0 | 23643 | 0.2874 | 0.9294 |
|
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| 0.3122 | 72.0 | 23976 | 0.2909 | 0.9258 |
|
126 |
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| 0.3276 | 73.0 | 24309 | 0.2856 | 0.9281 |
|
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| 0.291 | 74.0 | 24642 | 0.2895 | 0.9257 |
|
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| 0.2939 | 75.0 | 24975 | 0.2922 | 0.927 |
|
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| 0.2853 | 76.0 | 25308 | 0.2956 | 0.9245 |
|
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| 0.2863 | 77.0 | 25641 | 0.2900 | 0.9281 |
|
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| 0.3417 | 78.0 | 25974 | 0.2902 | 0.927 |
|
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| 0.3053 | 79.0 | 26307 | 0.2925 | 0.9261 |
|
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| 0.2954 | 80.0 | 26640 | 0.2942 | 0.9257 |
|
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| 0.2539 | 81.0 | 26973 | 0.3004 | 0.9252 |
|
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| 0.2728 | 82.0 | 27306 | 0.2943 | 0.9252 |
|
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| 0.3537 | 83.0 | 27639 | 0.3002 | 0.9243 |
|
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| 0.2917 | 84.0 | 27972 | 0.2907 | 0.9259 |
|
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| 0.26 | 85.0 | 28305 | 0.2947 | 0.9265 |
|
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| 0.2604 | 86.0 | 28638 | 0.3004 | 0.9261 |
|
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| 0.3287 | 87.0 | 28971 | 0.3003 | 0.9266 |
|
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| 0.3101 | 88.0 | 29304 | 0.3001 | 0.9277 |
|
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| 0.3029 | 89.0 | 29637 | 0.2987 | 0.9275 |
|
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| 0.2824 | 90.0 | 29970 | 0.3001 | 0.9266 |
|
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| 0.2771 | 91.0 | 30303 | 0.3026 | 0.9261 |
|
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| 0.2428 | 92.0 | 30636 | 0.3052 | 0.9256 |
|
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| 0.2784 | 93.0 | 30969 | 0.3012 | 0.9273 |
|
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| 0.2397 | 94.0 | 31302 | 0.2990 | 0.9275 |
|
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| 0.2789 | 95.0 | 31635 | 0.3009 | 0.9257 |
|
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| 0.3029 | 96.0 | 31968 | 0.3023 | 0.9257 |
|
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| 0.2966 | 97.0 | 32301 | 0.3007 | 0.9273 |
|
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| 0.3114 | 98.0 | 32634 | 0.2945 | 0.9277 |
|
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| 0.2892 | 99.0 | 32967 | 0.3028 | 0.9257 |
|
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| 0.248 | 100.0 | 33300 | 0.2971 | 0.9284 |
|
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| 0.3176 | 101.0 | 33633 | 0.3050 | 0.9264 |
|
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| 0.3074 | 102.0 | 33966 | 0.3066 | 0.929 |
|
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| 0.2901 | 103.0 | 34299 | 0.3037 | 0.9252 |
|
157 |
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| 0.3027 | 104.0 | 34632 | 0.3039 | 0.9245 |
|
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| 0.3048 | 105.0 | 34965 | 0.2983 | 0.9287 |
|
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| 0.2573 | 106.0 | 35298 | 0.3004 | 0.928 |
|
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| 0.2739 | 107.0 | 35631 | 0.3039 | 0.9263 |
|
161 |
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| 0.2491 | 108.0 | 35964 | 0.3016 | 0.9277 |
|
162 |
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| 0.2491 | 109.0 | 36297 | 0.3025 | 0.9272 |
|
163 |
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| 0.291 | 110.0 | 36630 | 0.3018 | 0.9257 |
|
164 |
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| 0.264 | 111.0 | 36963 | 0.3096 | 0.9255 |
|
165 |
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| 0.2931 | 112.0 | 37296 | 0.3093 | 0.9282 |
|
166 |
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| 0.2407 | 113.0 | 37629 | 0.3106 | 0.927 |
|
167 |
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| 0.2583 | 114.0 | 37962 | 0.3116 | 0.9252 |
|
168 |
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| 0.2628 | 115.0 | 38295 | 0.3068 | 0.9254 |
|
169 |
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| 0.2806 | 116.0 | 38628 | 0.3114 | 0.9257 |
|
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| 0.2441 | 117.0 | 38961 | 0.3072 | 0.9251 |
|
171 |
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| 0.2204 | 118.0 | 39294 | 0.3125 | 0.9258 |
|
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| 0.2819 | 119.0 | 39627 | 0.3178 | 0.9237 |
|
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| 0.2466 | 120.0 | 39960 | 0.3189 | 0.9248 |
|
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| 0.2284 | 121.0 | 40293 | 0.3107 | 0.9267 |
|
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| 0.217 | 122.0 | 40626 | 0.3138 | 0.9263 |
|
176 |
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| 0.2405 | 123.0 | 40959 | 0.3088 | 0.9275 |
|
177 |
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| 0.2972 | 124.0 | 41292 | 0.3067 | 0.9255 |
|
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| 0.246 | 125.0 | 41625 | 0.3120 | 0.9252 |
|
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| 0.273 | 126.0 | 41958 | 0.3165 | 0.9247 |
|
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| 0.2837 | 127.0 | 42291 | 0.3159 | 0.925 |
|
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| 0.2741 | 128.0 | 42624 | 0.3169 | 0.9256 |
|
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| 0.26 | 129.0 | 42957 | 0.3156 | 0.9251 |
|
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| 0.2739 | 130.0 | 43290 | 0.3166 | 0.9257 |
|
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| 0.3104 | 131.0 | 43623 | 0.3238 | 0.9237 |
|
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| 0.264 | 132.0 | 43956 | 0.3164 | 0.9257 |
|
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| 0.2485 | 133.0 | 44289 | 0.3236 | 0.9232 |
|
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| 0.2637 | 134.0 | 44622 | 0.3232 | 0.9249 |
|
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| 0.2211 | 135.0 | 44955 | 0.3191 | 0.9256 |
|
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| 0.2498 | 136.0 | 45288 | 0.3190 | 0.9251 |
|
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| 0.2331 | 137.0 | 45621 | 0.3226 | 0.9245 |
|
191 |
+
| 0.2247 | 138.0 | 45954 | 0.3241 | 0.9228 |
|
192 |
+
| 0.2555 | 139.0 | 46287 | 0.3269 | 0.9224 |
|
193 |
+
| 0.2255 | 140.0 | 46620 | 0.3229 | 0.9247 |
|
194 |
+
| 0.2909 | 141.0 | 46953 | 0.3212 | 0.9256 |
|
195 |
+
| 0.2902 | 142.0 | 47286 | 0.3215 | 0.9231 |
|
196 |
+
| 0.2384 | 143.0 | 47619 | 0.3296 | 0.9233 |
|
197 |
+
| 0.2538 | 144.0 | 47952 | 0.3270 | 0.9255 |
|
198 |
+
| 0.2174 | 145.0 | 48285 | 0.3265 | 0.9249 |
|
199 |
+
| 0.2274 | 146.0 | 48618 | 0.3302 | 0.9235 |
|
200 |
+
| 0.2354 | 147.0 | 48951 | 0.3300 | 0.9254 |
|
201 |
+
| 0.2555 | 148.0 | 49284 | 0.3265 | 0.9236 |
|
202 |
+
| 0.2389 | 149.0 | 49617 | 0.3329 | 0.9235 |
|
203 |
+
| 0.2441 | 150.0 | 49950 | 0.3222 | 0.924 |
|
204 |
+
| 0.2419 | 151.0 | 50283 | 0.3287 | 0.9235 |
|
205 |
+
| 0.2293 | 152.0 | 50616 | 0.3310 | 0.9221 |
|
206 |
+
| 0.2432 | 153.0 | 50949 | 0.3293 | 0.9237 |
|
207 |
+
| 0.2255 | 154.0 | 51282 | 0.3338 | 0.9257 |
|
208 |
+
| 0.2418 | 155.0 | 51615 | 0.3313 | 0.924 |
|
209 |
+
| 0.2254 | 156.0 | 51948 | 0.3326 | 0.9245 |
|
210 |
+
| 0.2549 | 157.0 | 52281 | 0.3365 | 0.924 |
|
211 |
+
| 0.213 | 158.0 | 52614 | 0.3250 | 0.9257 |
|
212 |
+
| 0.2178 | 159.0 | 52947 | 0.3259 | 0.9252 |
|
213 |
+
| 0.2127 | 160.0 | 53280 | 0.3294 | 0.9241 |
|
214 |
+
| 0.2063 | 161.0 | 53613 | 0.3301 | 0.9239 |
|
215 |
+
| 0.2401 | 162.0 | 53946 | 0.3306 | 0.9247 |
|
216 |
+
| 0.2198 | 163.0 | 54279 | 0.3323 | 0.9226 |
|
217 |
+
| 0.2642 | 164.0 | 54612 | 0.3324 | 0.9239 |
|
218 |
+
| 0.2477 | 165.0 | 54945 | 0.3314 | 0.9238 |
|
219 |
+
| 0.1936 | 166.0 | 55278 | 0.3324 | 0.9233 |
|
220 |
+
| 0.2151 | 167.0 | 55611 | 0.3356 | 0.9229 |
|
221 |
+
| 0.2049 | 168.0 | 55944 | 0.3355 | 0.9214 |
|
222 |
+
| 0.2356 | 169.0 | 56277 | 0.3369 | 0.9226 |
|
223 |
+
| 0.2092 | 170.0 | 56610 | 0.3306 | 0.923 |
|
224 |
+
| 0.2239 | 171.0 | 56943 | 0.3387 | 0.9237 |
|
225 |
+
| 0.2157 | 172.0 | 57276 | 0.3347 | 0.9222 |
|
226 |
+
| 0.1877 | 173.0 | 57609 | 0.3423 | 0.9224 |
|
227 |
+
| 0.2532 | 174.0 | 57942 | 0.3342 | 0.9231 |
|
228 |
+
| 0.2306 | 175.0 | 58275 | 0.3364 | 0.9223 |
|
229 |
+
| 0.2247 | 176.0 | 58608 | 0.3376 | 0.9219 |
|
230 |
+
| 0.2548 | 177.0 | 58941 | 0.3390 | 0.9217 |
|
231 |
+
| 0.1797 | 178.0 | 59274 | 0.3433 | 0.9214 |
|
232 |
+
| 0.235 | 179.0 | 59607 | 0.3388 | 0.9206 |
|
233 |
+
| 0.1707 | 180.0 | 59940 | 0.3376 | 0.9209 |
|
234 |
+
| 0.195 | 181.0 | 60273 | 0.3384 | 0.9224 |
|
235 |
+
| 0.2526 | 182.0 | 60606 | 0.3418 | 0.9215 |
|
236 |
+
| 0.2041 | 183.0 | 60939 | 0.3373 | 0.921 |
|
237 |
+
| 0.2251 | 184.0 | 61272 | 0.3409 | 0.922 |
|
238 |
+
| 0.2562 | 185.0 | 61605 | 0.3356 | 0.9239 |
|
239 |
+
| 0.2225 | 186.0 | 61938 | 0.3390 | 0.9228 |
|
240 |
+
| 0.1772 | 187.0 | 62271 | 0.3390 | 0.9219 |
|
241 |
+
| 0.2343 | 188.0 | 62604 | 0.3419 | 0.9219 |
|
242 |
+
| 0.2086 | 189.0 | 62937 | 0.3400 | 0.9222 |
|
243 |
+
| 0.3153 | 190.0 | 63270 | 0.3436 | 0.9203 |
|
244 |
+
| 0.2632 | 191.0 | 63603 | 0.3436 | 0.9226 |
|
245 |
+
| 0.2191 | 192.0 | 63936 | 0.3463 | 0.9218 |
|
246 |
+
| 0.1892 | 193.0 | 64269 | 0.3455 | 0.9226 |
|
247 |
+
| 0.2246 | 194.0 | 64602 | 0.3454 | 0.9215 |
|
248 |
+
| 0.2485 | 195.0 | 64935 | 0.3412 | 0.9224 |
|
249 |
+
| 0.2055 | 196.0 | 65268 | 0.3426 | 0.9209 |
|
250 |
+
| 0.2087 | 197.0 | 65601 | 0.3456 | 0.92 |
|
251 |
+
| 0.235 | 198.0 | 65934 | 0.3437 | 0.9218 |
|
252 |
+
| 0.2093 | 199.0 | 66267 | 0.3425 | 0.9231 |
|
253 |
+
| 0.1899 | 200.0 | 66600 | 0.3433 | 0.9229 |
|
254 |
+
| 0.231 | 201.0 | 66933 | 0.3435 | 0.9218 |
|
255 |
+
| 0.2002 | 202.0 | 67266 | 0.3430 | 0.9219 |
|
256 |
+
| 0.2062 | 203.0 | 67599 | 0.3435 | 0.921 |
|
257 |
+
| 0.2138 | 204.0 | 67932 | 0.3486 | 0.9214 |
|
258 |
+
| 0.1742 | 205.0 | 68265 | 0.3454 | 0.9224 |
|
259 |
+
| 0.2116 | 206.0 | 68598 | 0.3459 | 0.9212 |
|
260 |
+
| 0.1906 | 207.0 | 68931 | 0.3475 | 0.9202 |
|
261 |
+
| 0.2253 | 208.0 | 69264 | 0.3447 | 0.9227 |
|
262 |
+
| 0.1944 | 209.0 | 69597 | 0.3476 | 0.9209 |
|
263 |
+
| 0.2114 | 210.0 | 69930 | 0.3473 | 0.9211 |
|
264 |
+
| 0.1959 | 211.0 | 70263 | 0.3463 | 0.9213 |
|
265 |
+
| 0.1967 | 212.0 | 70596 | 0.3454 | 0.9235 |
|
266 |
+
| 0.221 | 213.0 | 70929 | 0.3500 | 0.9239 |
|
267 |
+
| 0.194 | 214.0 | 71262 | 0.3468 | 0.9231 |
|
268 |
+
| 0.2055 | 215.0 | 71595 | 0.3455 | 0.9221 |
|
269 |
+
| 0.216 | 216.0 | 71928 | 0.3482 | 0.9215 |
|
270 |
+
| 0.1887 | 217.0 | 72261 | 0.3495 | 0.9218 |
|
271 |
+
| 0.2043 | 218.0 | 72594 | 0.3458 | 0.9237 |
|
272 |
+
| 0.2022 | 219.0 | 72927 | 0.3428 | 0.9224 |
|
273 |
+
| 0.1834 | 220.0 | 73260 | 0.3419 | 0.9222 |
|
274 |
+
| 0.1835 | 221.0 | 73593 | 0.3447 | 0.9231 |
|
275 |
+
| 0.2194 | 222.0 | 73926 | 0.3472 | 0.9218 |
|
276 |
+
| 0.1775 | 223.0 | 74259 | 0.3466 | 0.922 |
|
277 |
+
| 0.1781 | 224.0 | 74592 | 0.3505 | 0.9233 |
|
278 |
+
| 0.2001 | 225.0 | 74925 | 0.3477 | 0.9226 |
|
279 |
+
| 0.185 | 226.0 | 75258 | 0.3469 | 0.9229 |
|
280 |
+
| 0.2079 | 227.0 | 75591 | 0.3465 | 0.9228 |
|
281 |
+
| 0.1709 | 228.0 | 75924 | 0.3485 | 0.9217 |
|
282 |
+
| 0.2041 | 229.0 | 76257 | 0.3476 | 0.9213 |
|
283 |
+
| 0.1793 | 230.0 | 76590 | 0.3505 | 0.9222 |
|
284 |
+
| 0.193 | 231.0 | 76923 | 0.3483 | 0.9234 |
|
285 |
+
| 0.2192 | 232.0 | 77256 | 0.3490 | 0.9213 |
|
286 |
+
| 0.2017 | 233.0 | 77589 | 0.3481 | 0.9219 |
|
287 |
+
| 0.1883 | 234.0 | 77922 | 0.3479 | 0.9218 |
|
288 |
+
| 0.1682 | 235.0 | 78255 | 0.3476 | 0.9214 |
|
289 |
+
| 0.1702 | 236.0 | 78588 | 0.3474 | 0.922 |
|
290 |
+
| 0.2109 | 237.0 | 78921 | 0.3499 | 0.9221 |
|
291 |
+
| 0.1768 | 238.0 | 79254 | 0.3459 | 0.9211 |
|
292 |
+
| 0.1731 | 239.0 | 79587 | 0.3480 | 0.9222 |
|
293 |
+
| 0.1834 | 240.0 | 79920 | 0.3479 | 0.9216 |
|
294 |
+
| 0.2182 | 241.0 | 80253 | 0.3484 | 0.9218 |
|
295 |
+
| 0.2084 | 242.0 | 80586 | 0.3515 | 0.9222 |
|
296 |
+
| 0.2006 | 243.0 | 80919 | 0.3499 | 0.9223 |
|
297 |
+
| 0.221 | 244.0 | 81252 | 0.3502 | 0.9223 |
|
298 |
+
| 0.1835 | 245.0 | 81585 | 0.3526 | 0.9212 |
|
299 |
+
| 0.2469 | 246.0 | 81918 | 0.3473 | 0.9215 |
|
300 |
+
| 0.1844 | 247.0 | 82251 | 0.3473 | 0.9228 |
|
301 |
+
| 0.1972 | 248.0 | 82584 | 0.3493 | 0.9213 |
|
302 |
+
| 0.1821 | 249.0 | 82917 | 0.3503 | 0.9212 |
|
303 |
+
| 0.2 | 250.0 | 83250 | 0.3518 | 0.9213 |
|
304 |
+
| 0.1888 | 251.0 | 83583 | 0.3509 | 0.9219 |
|
305 |
+
| 0.2034 | 252.0 | 83916 | 0.3488 | 0.9207 |
|
306 |
+
| 0.2062 | 253.0 | 84249 | 0.3464 | 0.9217 |
|
307 |
+
| 0.1906 | 254.0 | 84582 | 0.3480 | 0.9224 |
|
308 |
+
| 0.1996 | 255.0 | 84915 | 0.3481 | 0.9219 |
|
309 |
+
| 0.2447 | 256.0 | 85248 | 0.3485 | 0.9217 |
|
310 |
+
| 0.1975 | 257.0 | 85581 | 0.3509 | 0.9215 |
|
311 |
+
| 0.1787 | 258.0 | 85914 | 0.3497 | 0.9203 |
|
312 |
+
| 0.1599 | 259.0 | 86247 | 0.3530 | 0.9208 |
|
313 |
+
| 0.2455 | 260.0 | 86580 | 0.3507 | 0.9206 |
|
314 |
+
| 0.2159 | 261.0 | 86913 | 0.3510 | 0.9224 |
|
315 |
+
| 0.2032 | 262.0 | 87246 | 0.3502 | 0.9215 |
|
316 |
+
| 0.1453 | 263.0 | 87579 | 0.3501 | 0.9225 |
|
317 |
+
| 0.1922 | 264.0 | 87912 | 0.3494 | 0.9235 |
|
318 |
+
| 0.2038 | 265.0 | 88245 | 0.3481 | 0.9229 |
|
319 |
+
| 0.1897 | 266.0 | 88578 | 0.3492 | 0.923 |
|
320 |
+
| 0.1941 | 267.0 | 88911 | 0.3504 | 0.9237 |
|
321 |
+
| 0.197 | 268.0 | 89244 | 0.3504 | 0.923 |
|
322 |
+
| 0.1933 | 269.0 | 89577 | 0.3485 | 0.9227 |
|
323 |
+
| 0.1585 | 270.0 | 89910 | 0.3488 | 0.9237 |
|
324 |
+
| 0.1994 | 271.0 | 90243 | 0.3488 | 0.9223 |
|
325 |
+
| 0.1562 | 272.0 | 90576 | 0.3482 | 0.922 |
|
326 |
+
| 0.1804 | 273.0 | 90909 | 0.3487 | 0.9214 |
|
327 |
+
| 0.2202 | 274.0 | 91242 | 0.3509 | 0.9215 |
|
328 |
+
| 0.1804 | 275.0 | 91575 | 0.3502 | 0.9227 |
|
329 |
+
| 0.1542 | 276.0 | 91908 | 0.3496 | 0.9229 |
|
330 |
+
| 0.1744 | 277.0 | 92241 | 0.3486 | 0.9226 |
|
331 |
+
| 0.1779 | 278.0 | 92574 | 0.3483 | 0.9228 |
|
332 |
+
| 0.1396 | 279.0 | 92907 | 0.3495 | 0.9228 |
|
333 |
+
| 0.1501 | 280.0 | 93240 | 0.3484 | 0.9232 |
|
334 |
+
| 0.1808 | 281.0 | 93573 | 0.3503 | 0.9227 |
|
335 |
+
| 0.1749 | 282.0 | 93906 | 0.3492 | 0.9218 |
|
336 |
+
| 0.2295 | 283.0 | 94239 | 0.3493 | 0.9216 |
|
337 |
+
| 0.1695 | 284.0 | 94572 | 0.3491 | 0.9219 |
|
338 |
+
| 0.1859 | 285.0 | 94905 | 0.3502 | 0.9222 |
|
339 |
+
| 0.1891 | 286.0 | 95238 | 0.3505 | 0.9226 |
|
340 |
+
| 0.1681 | 287.0 | 95571 | 0.3513 | 0.9222 |
|
341 |
+
| 0.1837 | 288.0 | 95904 | 0.3512 | 0.9217 |
|
342 |
+
| 0.2181 | 289.0 | 96237 | 0.3512 | 0.9224 |
|
343 |
+
| 0.1637 | 290.0 | 96570 | 0.3514 | 0.9219 |
|
344 |
+
| 0.1808 | 291.0 | 96903 | 0.3511 | 0.922 |
|
345 |
+
| 0.1935 | 292.0 | 97236 | 0.3511 | 0.9226 |
|
346 |
+
| 0.2022 | 293.0 | 97569 | 0.3508 | 0.9229 |
|
347 |
+
| 0.1708 | 294.0 | 97902 | 0.3505 | 0.923 |
|
348 |
+
| 0.1924 | 295.0 | 98235 | 0.3508 | 0.9228 |
|
349 |
+
| 0.1775 | 296.0 | 98568 | 0.3511 | 0.9224 |
|
350 |
+
| 0.1681 | 297.0 | 98901 | 0.3509 | 0.9224 |
|
351 |
+
| 0.1528 | 298.0 | 99234 | 0.3504 | 0.9225 |
|
352 |
+
| 0.1978 | 299.0 | 99567 | 0.3503 | 0.9226 |
|
353 |
+
| 0.1826 | 300.0 | 99900 | 0.3503 | 0.9226 |
|
354 |
+
|
355 |
+
|
356 |
+
### Framework versions
|
357 |
+
|
358 |
+
- Transformers 4.39.3
|
359 |
+
- Pytorch 2.2.2+cu118
|
360 |
+
- Datasets 2.18.0
|
361 |
+
- Tokenizers 0.15.2
|
all_results.json
ADDED
@@ -0,0 +1,17 @@
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1 |
+
{
|
2 |
+
"dr_accuracy": 0.9971764705882353,
|
3 |
+
"dr_loss": 0.014752509072422981,
|
4 |
+
"dr_runtime": 122.6318,
|
5 |
+
"dr_samples_per_second": 346.566,
|
6 |
+
"dr_steps_per_second": 1.362,
|
7 |
+
"epoch": 300.0,
|
8 |
+
"test_accuracy": 0.9301,
|
9 |
+
"test_loss": 0.25753843784332275,
|
10 |
+
"test_runtime": 30.1063,
|
11 |
+
"test_samples_per_second": 332.157,
|
12 |
+
"test_steps_per_second": 1.329,
|
13 |
+
"train_loss": 0.2884208381307256,
|
14 |
+
"train_runtime": 121518.863,
|
15 |
+
"train_samples_per_second": 104.922,
|
16 |
+
"train_steps_per_second": 0.822
|
17 |
+
}
|
checkpoint-13320/config.json
ADDED
@@ -0,0 +1,258 @@
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|
1 |
+
{
|
2 |
+
"_name_or_path": "microsoft/swin-base-patch4-window7-224",
|
3 |
+
"architectures": [
|
4 |
+
"SwinForImageClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.0,
|
7 |
+
"depths": [
|
8 |
+
2,
|
9 |
+
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
23 |
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|
24 |
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|
25 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
46 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
248 |
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|
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|
250 |
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|
251 |
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252 |
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|
253 |
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],
|
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|
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|
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258 |
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dr_results.json
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@@ -0,0 +1,8 @@
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|
7 |
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"epoch": 300.0
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8 |
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}
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model.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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preprocessor_config.json
ADDED
@@ -0,0 +1,36 @@
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{
|
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|
5 |
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|
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|
7 |
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"do_rescale",
|
8 |
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|
9 |
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|
10 |
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"image_mean",
|
11 |
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"image_std",
|
12 |
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"return_tensors",
|
13 |
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"data_format",
|
14 |
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"input_data_format"
|
15 |
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|
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35 |
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test_results.json
ADDED
@@ -0,0 +1,8 @@
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train_results.json
ADDED
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trainer_state.json
ADDED
The diff for this file is too large to render.
See raw diff
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training_args.bin
ADDED
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