Upload folder using huggingface_hub
Browse files- README.md +161 -0
- all_results.json +17 -0
- checkpoint-11970/config.json +229 -0
- checkpoint-11970/model.safetensors +3 -0
- checkpoint-11970/optimizer.pt +3 -0
- checkpoint-11970/preprocessor_config.json +36 -0
- checkpoint-11970/rng_state.pth +3 -0
- checkpoint-11970/scheduler.pt +3 -0
- checkpoint-11970/trainer_state.json +0 -0
- checkpoint-11970/training_args.bin +3 -0
- config.json +229 -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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| 2 |
+
license: apache-2.0
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| 3 |
+
base_model: google/vit-large-patch16-224-in21k
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| 4 |
+
tags:
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| 5 |
+
- image-classification
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| 6 |
+
- vision
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| 7 |
+
- generated_from_trainer
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| 8 |
+
metrics:
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| 9 |
+
- accuracy
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| 10 |
+
model-index:
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| 11 |
+
- name: vit-large
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| 12 |
+
results: []
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| 13 |
+
---
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| 14 |
+
|
| 15 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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| 16 |
+
should probably proofread and complete it, then remove this comment. -->
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| 17 |
+
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| 18 |
+
# vit-large
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| 19 |
+
|
| 20 |
+
This model is a fine-tuned version of [google/vit-large-patch16-224-in21k](https://huggingface.co/google/vit-large-patch16-224-in21k) on the cifar100 dataset.
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| 21 |
+
It achieves the following results on the evaluation set:
|
| 22 |
+
- Loss: 0.3301
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| 23 |
+
- Accuracy: 0.9309
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| 24 |
+
|
| 25 |
+
## Model description
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| 26 |
+
|
| 27 |
+
More information needed
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| 28 |
+
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| 29 |
+
## Intended uses & limitations
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| 30 |
+
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| 31 |
+
More information needed
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| 32 |
+
|
| 33 |
+
## Training and evaluation data
|
| 34 |
+
|
| 35 |
+
More information needed
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| 36 |
+
|
| 37 |
+
## Training procedure
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| 38 |
+
|
| 39 |
+
### Training hyperparameters
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| 40 |
+
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| 41 |
+
The following hyperparameters were used during training:
|
| 42 |
+
- learning_rate: 1e-05
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| 43 |
+
- train_batch_size: 64
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| 44 |
+
- eval_batch_size: 256
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| 45 |
+
- seed: 42
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| 46 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 47 |
+
- lr_scheduler_type: linear
|
| 48 |
+
- num_epochs: 100
|
| 49 |
+
|
| 50 |
+
### Training results
|
| 51 |
+
|
| 52 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 53 |
+
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
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| 54 |
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| 1.2884 | 1.0 | 665 | 0.8752 | 0.8834 |
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| 55 |
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| 0.7958 | 2.0 | 1330 | 0.4724 | 0.9142 |
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| 56 |
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| 0.743 | 3.0 | 1995 | 0.3750 | 0.9207 |
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| 57 |
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| 0.6935 | 4.0 | 2660 | 0.3198 | 0.9236 |
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| 58 |
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| 0.6159 | 5.0 | 3325 | 0.2945 | 0.9289 |
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| 59 |
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| 0.4423 | 6.0 | 3990 | 0.2876 | 0.925 |
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| 60 |
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| 0.5506 | 7.0 | 4655 | 0.2617 | 0.9302 |
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| 61 |
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| 0.5673 | 8.0 | 5320 | 0.2576 | 0.9324 |
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| 62 |
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| 0.4613 | 9.0 | 5985 | 0.2586 | 0.9311 |
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| 63 |
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| 0.4179 | 10.0 | 6650 | 0.2555 | 0.9285 |
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| 64 |
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| 0.4438 | 11.0 | 7315 | 0.2554 | 0.9316 |
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| 65 |
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| 0.4869 | 12.0 | 7980 | 0.2564 | 0.9298 |
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| 66 |
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| 0.4289 | 13.0 | 8645 | 0.2713 | 0.9288 |
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| 67 |
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| 0.4003 | 14.0 | 9310 | 0.2617 | 0.932 |
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| 68 |
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| 0.3227 | 15.0 | 9975 | 0.2567 | 0.9335 |
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| 0.386 | 16.0 | 10640 | 0.2571 | 0.931 |
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| 0.3688 | 17.0 | 11305 | 0.2576 | 0.9346 |
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| 0.3985 | 18.0 | 11970 | 0.2532 | 0.9356 |
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| 72 |
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| 0.3213 | 19.0 | 12635 | 0.2728 | 0.9321 |
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| 0.3046 | 20.0 | 13300 | 0.2702 | 0.9334 |
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| 0.3676 | 21.0 | 13965 | 0.2700 | 0.9319 |
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| 0.3329 | 22.0 | 14630 | 0.2720 | 0.9333 |
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| 0.4089 | 23.0 | 15295 | 0.2764 | 0.9325 |
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| 0.3196 | 24.0 | 15960 | 0.2735 | 0.9305 |
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| 0.2982 | 25.0 | 16625 | 0.2771 | 0.9312 |
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| 0.1884 | 26.0 | 17290 | 0.2943 | 0.9304 |
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| 0.3624 | 27.0 | 17955 | 0.2866 | 0.9316 |
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| 0.2957 | 28.0 | 18620 | 0.2708 | 0.932 |
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| 0.3013 | 29.0 | 19285 | 0.2881 | 0.932 |
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| 83 |
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| 0.2811 | 30.0 | 19950 | 0.2940 | 0.9304 |
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| 0.2031 | 31.0 | 20615 | 0.2802 | 0.9335 |
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| 0.3268 | 32.0 | 21280 | 0.2803 | 0.9312 |
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| 0.218 | 33.0 | 21945 | 0.2883 | 0.9307 |
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| 0.217 | 34.0 | 22610 | 0.2866 | 0.9356 |
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| 0.2032 | 35.0 | 23275 | 0.2905 | 0.9317 |
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| 0.2539 | 36.0 | 23940 | 0.2818 | 0.9313 |
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| 0.2104 | 37.0 | 24605 | 0.2907 | 0.9329 |
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| 0.264 | 38.0 | 25270 | 0.3030 | 0.9298 |
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| 0.3343 | 39.0 | 25935 | 0.3030 | 0.9299 |
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| 0.2252 | 40.0 | 26600 | 0.2960 | 0.9313 |
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| 0.2453 | 41.0 | 27265 | 0.2977 | 0.9302 |
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| 0.2467 | 42.0 | 27930 | 0.3034 | 0.9293 |
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| 0.2208 | 43.0 | 28595 | 0.3022 | 0.9316 |
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| 0.1808 | 44.0 | 29260 | 0.3067 | 0.9304 |
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| 0.2477 | 45.0 | 29925 | 0.3073 | 0.9289 |
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| 0.2059 | 46.0 | 30590 | 0.3010 | 0.931 |
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| 0.2156 | 47.0 | 31255 | 0.2920 | 0.9318 |
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| 0.2719 | 48.0 | 31920 | 0.3057 | 0.9311 |
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| 0.2156 | 49.0 | 32585 | 0.3127 | 0.9292 |
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| 0.2562 | 50.0 | 33250 | 0.3115 | 0.93 |
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| 0.1847 | 51.0 | 33915 | 0.3058 | 0.9311 |
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| 0.2453 | 52.0 | 34580 | 0.3180 | 0.9308 |
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| 0.2763 | 53.0 | 35245 | 0.3076 | 0.932 |
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| 0.1876 | 54.0 | 35910 | 0.3097 | 0.9318 |
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| 0.1774 | 55.0 | 36575 | 0.3105 | 0.9321 |
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| 0.2011 | 56.0 | 37240 | 0.3108 | 0.9337 |
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| 0.2142 | 57.0 | 37905 | 0.3191 | 0.9312 |
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| 0.1931 | 58.0 | 38570 | 0.3219 | 0.9299 |
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| 0.2328 | 59.0 | 39235 | 0.3155 | 0.9316 |
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| 0.145 | 60.0 | 39900 | 0.3216 | 0.9295 |
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| 0.2804 | 61.0 | 40565 | 0.3253 | 0.9298 |
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| 0.1696 | 62.0 | 41230 | 0.3086 | 0.9315 |
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| 0.2194 | 63.0 | 41895 | 0.3170 | 0.9313 |
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| 0.2297 | 64.0 | 42560 | 0.3231 | 0.9293 |
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| 0.2108 | 65.0 | 43225 | 0.3161 | 0.9313 |
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| 119 |
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| 0.1696 | 66.0 | 43890 | 0.3269 | 0.929 |
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| 0.1946 | 67.0 | 44555 | 0.3307 | 0.9302 |
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| 0.1492 | 68.0 | 45220 | 0.3248 | 0.9296 |
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| 0.223 | 69.0 | 45885 | 0.3316 | 0.9293 |
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| 123 |
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| 0.1738 | 70.0 | 46550 | 0.3248 | 0.9295 |
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| 124 |
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| 0.2251 | 71.0 | 47215 | 0.3297 | 0.9305 |
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| 125 |
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| 0.1518 | 72.0 | 47880 | 0.3322 | 0.9311 |
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| 126 |
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| 0.1914 | 73.0 | 48545 | 0.3263 | 0.931 |
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| 127 |
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| 0.2097 | 74.0 | 49210 | 0.3367 | 0.9294 |
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| 128 |
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| 0.1423 | 75.0 | 49875 | 0.3286 | 0.9299 |
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| 129 |
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| 0.1953 | 76.0 | 50540 | 0.3337 | 0.9307 |
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| 130 |
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| 0.1599 | 77.0 | 51205 | 0.3295 | 0.9313 |
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| 131 |
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| 0.2077 | 78.0 | 51870 | 0.3285 | 0.9312 |
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| 132 |
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| 0.2053 | 79.0 | 52535 | 0.3278 | 0.9309 |
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| 133 |
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| 0.1846 | 80.0 | 53200 | 0.3291 | 0.9307 |
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| 134 |
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| 0.1909 | 81.0 | 53865 | 0.3417 | 0.9291 |
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| 135 |
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| 0.1971 | 82.0 | 54530 | 0.3323 | 0.9289 |
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| 136 |
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| 0.1739 | 83.0 | 55195 | 0.3266 | 0.9323 |
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| 137 |
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| 0.1537 | 84.0 | 55860 | 0.3313 | 0.9294 |
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| 138 |
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| 0.1706 | 85.0 | 56525 | 0.3395 | 0.928 |
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| 139 |
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| 0.199 | 86.0 | 57190 | 0.3344 | 0.9303 |
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| 140 |
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| 0.2013 | 87.0 | 57855 | 0.3360 | 0.9294 |
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| 141 |
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| 0.1495 | 88.0 | 58520 | 0.3371 | 0.9307 |
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| 142 |
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| 0.1042 | 89.0 | 59185 | 0.3302 | 0.9316 |
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| 143 |
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| 0.1681 | 90.0 | 59850 | 0.3304 | 0.9295 |
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| 144 |
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| 0.1802 | 91.0 | 60515 | 0.3351 | 0.9298 |
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| 145 |
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| 0.268 | 92.0 | 61180 | 0.3332 | 0.9305 |
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| 146 |
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| 0.1807 | 93.0 | 61845 | 0.3300 | 0.9307 |
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| 147 |
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| 0.1855 | 94.0 | 62510 | 0.3315 | 0.9303 |
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| 148 |
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| 0.1747 | 95.0 | 63175 | 0.3324 | 0.9295 |
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| 149 |
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| 0.1783 | 96.0 | 63840 | 0.3313 | 0.9315 |
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| 150 |
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| 0.1256 | 97.0 | 64505 | 0.3327 | 0.9308 |
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| 151 |
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| 0.0984 | 98.0 | 65170 | 0.3291 | 0.9317 |
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| 152 |
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| 0.1525 | 99.0 | 65835 | 0.3307 | 0.9311 |
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| 153 |
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| 0.1471 | 100.0 | 66500 | 0.3301 | 0.9309 |
|
| 154 |
+
|
| 155 |
+
|
| 156 |
+
### Framework versions
|
| 157 |
+
|
| 158 |
+
- Transformers 4.39.3
|
| 159 |
+
- Pytorch 2.2.2+cu118
|
| 160 |
+
- Datasets 2.18.0
|
| 161 |
+
- Tokenizers 0.15.2
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all_results.json
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| 1 |
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{
|
| 2 |
+
"dr_accuracy": 0.9972470588235294,
|
| 3 |
+
"dr_loss": 0.020220542326569557,
|
| 4 |
+
"dr_runtime": 353.6004,
|
| 5 |
+
"dr_samples_per_second": 120.192,
|
| 6 |
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"dr_steps_per_second": 0.472,
|
| 7 |
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"epoch": 100.0,
|
| 8 |
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"test_accuracy": 0.9356,
|
| 9 |
+
"test_loss": 0.25322866439819336,
|
| 10 |
+
"test_runtime": 84.4915,
|
| 11 |
+
"test_samples_per_second": 118.355,
|
| 12 |
+
"test_steps_per_second": 0.473,
|
| 13 |
+
"train_loss": 0.2947179788530321,
|
| 14 |
+
"train_runtime": 117326.6726,
|
| 15 |
+
"train_samples_per_second": 36.224,
|
| 16 |
+
"train_steps_per_second": 0.567
|
| 17 |
+
}
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checkpoint-11970/config.json
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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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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "google/vit-large-patch16-224-in21k",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"ViTForImageClassification"
|
| 5 |
+
],
|
| 6 |
+
"attention_probs_dropout_prob": 0.0,
|
| 7 |
+
"encoder_stride": 16,
|
| 8 |
+
"finetuning_task": "image-classification",
|
| 9 |
+
"hidden_act": "gelu",
|
| 10 |
+
"hidden_dropout_prob": 0.0,
|
| 11 |
+
"hidden_size": 1024,
|
| 12 |
+
"id2label": {
|
| 13 |
+
"0": "apple",
|
| 14 |
+
"1": "aquarium_fish",
|
| 15 |
+
"10": "bowl",
|
| 16 |
+
"11": "boy",
|
| 17 |
+
"12": "bridge",
|
| 18 |
+
"13": "bus",
|
| 19 |
+
"14": "butterfly",
|
| 20 |
+
"15": "camel",
|
| 21 |
+
"16": "can",
|
| 22 |
+
"17": "castle",
|
| 23 |
+
"18": "caterpillar",
|
| 24 |
+
"19": "cattle",
|
| 25 |
+
"2": "baby",
|
| 26 |
+
"20": "chair",
|
| 27 |
+
"21": "chimpanzee",
|
| 28 |
+
"22": "clock",
|
| 29 |
+
"23": "cloud",
|
| 30 |
+
"24": "cockroach",
|
| 31 |
+
"25": "couch",
|
| 32 |
+
"26": "cra",
|
| 33 |
+
"27": "crocodile",
|
| 34 |
+
"28": "cup",
|
| 35 |
+
"29": "dinosaur",
|
| 36 |
+
"3": "bear",
|
| 37 |
+
"30": "dolphin",
|
| 38 |
+
"31": "elephant",
|
| 39 |
+
"32": "flatfish",
|
| 40 |
+
"33": "forest",
|
| 41 |
+
"34": "fox",
|
| 42 |
+
"35": "girl",
|
| 43 |
+
"36": "hamster",
|
| 44 |
+
"37": "house",
|
| 45 |
+
"38": "kangaroo",
|
| 46 |
+
"39": "keyboard",
|
| 47 |
+
"4": "beaver",
|
| 48 |
+
"40": "lamp",
|
| 49 |
+
"41": "lawn_mower",
|
| 50 |
+
"42": "leopard",
|
| 51 |
+
"43": "lion",
|
| 52 |
+
"44": "lizard",
|
| 53 |
+
"45": "lobster",
|
| 54 |
+
"46": "man",
|
| 55 |
+
"47": "maple_tree",
|
| 56 |
+
"48": "motorcycle",
|
| 57 |
+
"49": "mountain",
|
| 58 |
+
"5": "bed",
|
| 59 |
+
"50": "mouse",
|
| 60 |
+
"51": "mushroom",
|
| 61 |
+
"52": "oak_tree",
|
| 62 |
+
"53": "orange",
|
| 63 |
+
"54": "orchid",
|
| 64 |
+
"55": "otter",
|
| 65 |
+
"56": "palm_tree",
|
| 66 |
+
"57": "pear",
|
| 67 |
+
"58": "pickup_truck",
|
| 68 |
+
"59": "pine_tree",
|
| 69 |
+
"6": "bee",
|
| 70 |
+
"60": "plain",
|
| 71 |
+
"61": "plate",
|
| 72 |
+
"62": "poppy",
|
| 73 |
+
"63": "porcupine",
|
| 74 |
+
"64": "possum",
|
| 75 |
+
"65": "rabbit",
|
| 76 |
+
"66": "raccoon",
|
| 77 |
+
"67": "ray",
|
| 78 |
+
"68": "road",
|
| 79 |
+
"69": "rocket",
|
| 80 |
+
"7": "beetle",
|
| 81 |
+
"70": "rose",
|
| 82 |
+
"71": "sea",
|
| 83 |
+
"72": "seal",
|
| 84 |
+
"73": "shark",
|
| 85 |
+
"74": "shrew",
|
| 86 |
+
"75": "skunk",
|
| 87 |
+
"76": "skyscraper",
|
| 88 |
+
"77": "snail",
|
| 89 |
+
"78": "snake",
|
| 90 |
+
"79": "spider",
|
| 91 |
+
"8": "bicycle",
|
| 92 |
+
"80": "squirrel",
|
| 93 |
+
"81": "streetcar",
|
| 94 |
+
"82": "sunflower",
|
| 95 |
+
"83": "sweet_pepper",
|
| 96 |
+
"84": "table",
|
| 97 |
+
"85": "tank",
|
| 98 |
+
"86": "telephone",
|
| 99 |
+
"87": "television",
|
| 100 |
+
"88": "tiger",
|
| 101 |
+
"89": "tractor",
|
| 102 |
+
"9": "bottle",
|
| 103 |
+
"90": "train",
|
| 104 |
+
"91": "trout",
|
| 105 |
+
"92": "tulip",
|
| 106 |
+
"93": "turtle",
|
| 107 |
+
"94": "wardrobe",
|
| 108 |
+
"95": "whale",
|
| 109 |
+
"96": "willow_tree",
|
| 110 |
+
"97": "wolf",
|
| 111 |
+
"98": "woman",
|
| 112 |
+
"99": "worm"
|
| 113 |
+
},
|
| 114 |
+
"image_size": 224,
|
| 115 |
+
"initializer_range": 0.02,
|
| 116 |
+
"intermediate_size": 4096,
|
| 117 |
+
"label2id": {
|
| 118 |
+
"apple": "0",
|
| 119 |
+
"aquarium_fish": "1",
|
| 120 |
+
"baby": "2",
|
| 121 |
+
"bear": "3",
|
| 122 |
+
"beaver": "4",
|
| 123 |
+
"bed": "5",
|
| 124 |
+
"bee": "6",
|
| 125 |
+
"beetle": "7",
|
| 126 |
+
"bicycle": "8",
|
| 127 |
+
"bottle": "9",
|
| 128 |
+
"bowl": "10",
|
| 129 |
+
"boy": "11",
|
| 130 |
+
"bridge": "12",
|
| 131 |
+
"bus": "13",
|
| 132 |
+
"butterfly": "14",
|
| 133 |
+
"camel": "15",
|
| 134 |
+
"can": "16",
|
| 135 |
+
"castle": "17",
|
| 136 |
+
"caterpillar": "18",
|
| 137 |
+
"cattle": "19",
|
| 138 |
+
"chair": "20",
|
| 139 |
+
"chimpanzee": "21",
|
| 140 |
+
"clock": "22",
|
| 141 |
+
"cloud": "23",
|
| 142 |
+
"cockroach": "24",
|
| 143 |
+
"couch": "25",
|
| 144 |
+
"cra": "26",
|
| 145 |
+
"crocodile": "27",
|
| 146 |
+
"cup": "28",
|
| 147 |
+
"dinosaur": "29",
|
| 148 |
+
"dolphin": "30",
|
| 149 |
+
"elephant": "31",
|
| 150 |
+
"flatfish": "32",
|
| 151 |
+
"forest": "33",
|
| 152 |
+
"fox": "34",
|
| 153 |
+
"girl": "35",
|
| 154 |
+
"hamster": "36",
|
| 155 |
+
"house": "37",
|
| 156 |
+
"kangaroo": "38",
|
| 157 |
+
"keyboard": "39",
|
| 158 |
+
"lamp": "40",
|
| 159 |
+
"lawn_mower": "41",
|
| 160 |
+
"leopard": "42",
|
| 161 |
+
"lion": "43",
|
| 162 |
+
"lizard": "44",
|
| 163 |
+
"lobster": "45",
|
| 164 |
+
"man": "46",
|
| 165 |
+
"maple_tree": "47",
|
| 166 |
+
"motorcycle": "48",
|
| 167 |
+
"mountain": "49",
|
| 168 |
+
"mouse": "50",
|
| 169 |
+
"mushroom": "51",
|
| 170 |
+
"oak_tree": "52",
|
| 171 |
+
"orange": "53",
|
| 172 |
+
"orchid": "54",
|
| 173 |
+
"otter": "55",
|
| 174 |
+
"palm_tree": "56",
|
| 175 |
+
"pear": "57",
|
| 176 |
+
"pickup_truck": "58",
|
| 177 |
+
"pine_tree": "59",
|
| 178 |
+
"plain": "60",
|
| 179 |
+
"plate": "61",
|
| 180 |
+
"poppy": "62",
|
| 181 |
+
"porcupine": "63",
|
| 182 |
+
"possum": "64",
|
| 183 |
+
"rabbit": "65",
|
| 184 |
+
"raccoon": "66",
|
| 185 |
+
"ray": "67",
|
| 186 |
+
"road": "68",
|
| 187 |
+
"rocket": "69",
|
| 188 |
+
"rose": "70",
|
| 189 |
+
"sea": "71",
|
| 190 |
+
"seal": "72",
|
| 191 |
+
"shark": "73",
|
| 192 |
+
"shrew": "74",
|
| 193 |
+
"skunk": "75",
|
| 194 |
+
"skyscraper": "76",
|
| 195 |
+
"snail": "77",
|
| 196 |
+
"snake": "78",
|
| 197 |
+
"spider": "79",
|
| 198 |
+
"squirrel": "80",
|
| 199 |
+
"streetcar": "81",
|
| 200 |
+
"sunflower": "82",
|
| 201 |
+
"sweet_pepper": "83",
|
| 202 |
+
"table": "84",
|
| 203 |
+
"tank": "85",
|
| 204 |
+
"telephone": "86",
|
| 205 |
+
"television": "87",
|
| 206 |
+
"tiger": "88",
|
| 207 |
+
"tractor": "89",
|
| 208 |
+
"train": "90",
|
| 209 |
+
"trout": "91",
|
| 210 |
+
"tulip": "92",
|
| 211 |
+
"turtle": "93",
|
| 212 |
+
"wardrobe": "94",
|
| 213 |
+
"whale": "95",
|
| 214 |
+
"willow_tree": "96",
|
| 215 |
+
"wolf": "97",
|
| 216 |
+
"woman": "98",
|
| 217 |
+
"worm": "99"
|
| 218 |
+
},
|
| 219 |
+
"layer_norm_eps": 1e-12,
|
| 220 |
+
"model_type": "vit",
|
| 221 |
+
"num_attention_heads": 16,
|
| 222 |
+
"num_channels": 3,
|
| 223 |
+
"num_hidden_layers": 24,
|
| 224 |
+
"patch_size": 16,
|
| 225 |
+
"problem_type": "single_label_classification",
|
| 226 |
+
"qkv_bias": true,
|
| 227 |
+
"torch_dtype": "float32",
|
| 228 |
+
"transformers_version": "4.39.3"
|
| 229 |
+
}
|
checkpoint-11970/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:be07959d6fa0cb775a5bdf4c782097bae5869db4a8a50f76cddb16c7f9f0e70f
|
| 3 |
+
size 1213663080
|
checkpoint-11970/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:a0d2556096ab91ff4895301d930b2047efdf5cba5251cea69bf66da3267f84af
|
| 3 |
+
size 2427561130
|
checkpoint-11970/preprocessor_config.json
ADDED
|
@@ -0,0 +1,36 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_valid_processor_keys": [
|
| 3 |
+
"images",
|
| 4 |
+
"do_resize",
|
| 5 |
+
"size",
|
| 6 |
+
"resample",
|
| 7 |
+
"do_rescale",
|
| 8 |
+
"rescale_factor",
|
| 9 |
+
"do_normalize",
|
| 10 |
+
"image_mean",
|
| 11 |
+
"image_std",
|
| 12 |
+
"return_tensors",
|
| 13 |
+
"data_format",
|
| 14 |
+
"input_data_format"
|
| 15 |
+
],
|
| 16 |
+
"do_normalize": true,
|
| 17 |
+
"do_rescale": true,
|
| 18 |
+
"do_resize": true,
|
| 19 |
+
"image_mean": [
|
| 20 |
+
0.5,
|
| 21 |
+
0.5,
|
| 22 |
+
0.5
|
| 23 |
+
],
|
| 24 |
+
"image_processor_type": "ViTImageProcessor",
|
| 25 |
+
"image_std": [
|
| 26 |
+
0.5,
|
| 27 |
+
0.5,
|
| 28 |
+
0.5
|
| 29 |
+
],
|
| 30 |
+
"resample": 2,
|
| 31 |
+
"rescale_factor": 0.00392156862745098,
|
| 32 |
+
"size": {
|
| 33 |
+
"height": 224,
|
| 34 |
+
"width": 224
|
| 35 |
+
}
|
| 36 |
+
}
|
checkpoint-11970/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:f86f749dc73bc16a2502fef2f98f5c00b4400cb2c67fbe62653b7ed104d13779
|
| 3 |
+
size 14244
|
checkpoint-11970/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:c72e2edf32b13d9c7ec4c05a3c391fe83fd09b0ae94a7e4dfccdd4f4f4969486
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| 3 |
+
size 1064
|
checkpoint-11970/trainer_state.json
ADDED
|
The diff for this file is too large to render.
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|
|
|
checkpoint-11970/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:61511df09538e6804e936fb432e7b68b550ca72e3cbebb2760b47753bbd886cc
|
| 3 |
+
size 4920
|
config.json
ADDED
|
@@ -0,0 +1,229 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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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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|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "google/vit-large-patch16-224-in21k",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"ViTForImageClassification"
|
| 5 |
+
],
|
| 6 |
+
"attention_probs_dropout_prob": 0.0,
|
| 7 |
+
"encoder_stride": 16,
|
| 8 |
+
"finetuning_task": "image-classification",
|
| 9 |
+
"hidden_act": "gelu",
|
| 10 |
+
"hidden_dropout_prob": 0.0,
|
| 11 |
+
"hidden_size": 1024,
|
| 12 |
+
"id2label": {
|
| 13 |
+
"0": "apple",
|
| 14 |
+
"1": "aquarium_fish",
|
| 15 |
+
"10": "bowl",
|
| 16 |
+
"11": "boy",
|
| 17 |
+
"12": "bridge",
|
| 18 |
+
"13": "bus",
|
| 19 |
+
"14": "butterfly",
|
| 20 |
+
"15": "camel",
|
| 21 |
+
"16": "can",
|
| 22 |
+
"17": "castle",
|
| 23 |
+
"18": "caterpillar",
|
| 24 |
+
"19": "cattle",
|
| 25 |
+
"2": "baby",
|
| 26 |
+
"20": "chair",
|
| 27 |
+
"21": "chimpanzee",
|
| 28 |
+
"22": "clock",
|
| 29 |
+
"23": "cloud",
|
| 30 |
+
"24": "cockroach",
|
| 31 |
+
"25": "couch",
|
| 32 |
+
"26": "cra",
|
| 33 |
+
"27": "crocodile",
|
| 34 |
+
"28": "cup",
|
| 35 |
+
"29": "dinosaur",
|
| 36 |
+
"3": "bear",
|
| 37 |
+
"30": "dolphin",
|
| 38 |
+
"31": "elephant",
|
| 39 |
+
"32": "flatfish",
|
| 40 |
+
"33": "forest",
|
| 41 |
+
"34": "fox",
|
| 42 |
+
"35": "girl",
|
| 43 |
+
"36": "hamster",
|
| 44 |
+
"37": "house",
|
| 45 |
+
"38": "kangaroo",
|
| 46 |
+
"39": "keyboard",
|
| 47 |
+
"4": "beaver",
|
| 48 |
+
"40": "lamp",
|
| 49 |
+
"41": "lawn_mower",
|
| 50 |
+
"42": "leopard",
|
| 51 |
+
"43": "lion",
|
| 52 |
+
"44": "lizard",
|
| 53 |
+
"45": "lobster",
|
| 54 |
+
"46": "man",
|
| 55 |
+
"47": "maple_tree",
|
| 56 |
+
"48": "motorcycle",
|
| 57 |
+
"49": "mountain",
|
| 58 |
+
"5": "bed",
|
| 59 |
+
"50": "mouse",
|
| 60 |
+
"51": "mushroom",
|
| 61 |
+
"52": "oak_tree",
|
| 62 |
+
"53": "orange",
|
| 63 |
+
"54": "orchid",
|
| 64 |
+
"55": "otter",
|
| 65 |
+
"56": "palm_tree",
|
| 66 |
+
"57": "pear",
|
| 67 |
+
"58": "pickup_truck",
|
| 68 |
+
"59": "pine_tree",
|
| 69 |
+
"6": "bee",
|
| 70 |
+
"60": "plain",
|
| 71 |
+
"61": "plate",
|
| 72 |
+
"62": "poppy",
|
| 73 |
+
"63": "porcupine",
|
| 74 |
+
"64": "possum",
|
| 75 |
+
"65": "rabbit",
|
| 76 |
+
"66": "raccoon",
|
| 77 |
+
"67": "ray",
|
| 78 |
+
"68": "road",
|
| 79 |
+
"69": "rocket",
|
| 80 |
+
"7": "beetle",
|
| 81 |
+
"70": "rose",
|
| 82 |
+
"71": "sea",
|
| 83 |
+
"72": "seal",
|
| 84 |
+
"73": "shark",
|
| 85 |
+
"74": "shrew",
|
| 86 |
+
"75": "skunk",
|
| 87 |
+
"76": "skyscraper",
|
| 88 |
+
"77": "snail",
|
| 89 |
+
"78": "snake",
|
| 90 |
+
"79": "spider",
|
| 91 |
+
"8": "bicycle",
|
| 92 |
+
"80": "squirrel",
|
| 93 |
+
"81": "streetcar",
|
| 94 |
+
"82": "sunflower",
|
| 95 |
+
"83": "sweet_pepper",
|
| 96 |
+
"84": "table",
|
| 97 |
+
"85": "tank",
|
| 98 |
+
"86": "telephone",
|
| 99 |
+
"87": "television",
|
| 100 |
+
"88": "tiger",
|
| 101 |
+
"89": "tractor",
|
| 102 |
+
"9": "bottle",
|
| 103 |
+
"90": "train",
|
| 104 |
+
"91": "trout",
|
| 105 |
+
"92": "tulip",
|
| 106 |
+
"93": "turtle",
|
| 107 |
+
"94": "wardrobe",
|
| 108 |
+
"95": "whale",
|
| 109 |
+
"96": "willow_tree",
|
| 110 |
+
"97": "wolf",
|
| 111 |
+
"98": "woman",
|
| 112 |
+
"99": "worm"
|
| 113 |
+
},
|
| 114 |
+
"image_size": 224,
|
| 115 |
+
"initializer_range": 0.02,
|
| 116 |
+
"intermediate_size": 4096,
|
| 117 |
+
"label2id": {
|
| 118 |
+
"apple": "0",
|
| 119 |
+
"aquarium_fish": "1",
|
| 120 |
+
"baby": "2",
|
| 121 |
+
"bear": "3",
|
| 122 |
+
"beaver": "4",
|
| 123 |
+
"bed": "5",
|
| 124 |
+
"bee": "6",
|
| 125 |
+
"beetle": "7",
|
| 126 |
+
"bicycle": "8",
|
| 127 |
+
"bottle": "9",
|
| 128 |
+
"bowl": "10",
|
| 129 |
+
"boy": "11",
|
| 130 |
+
"bridge": "12",
|
| 131 |
+
"bus": "13",
|
| 132 |
+
"butterfly": "14",
|
| 133 |
+
"camel": "15",
|
| 134 |
+
"can": "16",
|
| 135 |
+
"castle": "17",
|
| 136 |
+
"caterpillar": "18",
|
| 137 |
+
"cattle": "19",
|
| 138 |
+
"chair": "20",
|
| 139 |
+
"chimpanzee": "21",
|
| 140 |
+
"clock": "22",
|
| 141 |
+
"cloud": "23",
|
| 142 |
+
"cockroach": "24",
|
| 143 |
+
"couch": "25",
|
| 144 |
+
"cra": "26",
|
| 145 |
+
"crocodile": "27",
|
| 146 |
+
"cup": "28",
|
| 147 |
+
"dinosaur": "29",
|
| 148 |
+
"dolphin": "30",
|
| 149 |
+
"elephant": "31",
|
| 150 |
+
"flatfish": "32",
|
| 151 |
+
"forest": "33",
|
| 152 |
+
"fox": "34",
|
| 153 |
+
"girl": "35",
|
| 154 |
+
"hamster": "36",
|
| 155 |
+
"house": "37",
|
| 156 |
+
"kangaroo": "38",
|
| 157 |
+
"keyboard": "39",
|
| 158 |
+
"lamp": "40",
|
| 159 |
+
"lawn_mower": "41",
|
| 160 |
+
"leopard": "42",
|
| 161 |
+
"lion": "43",
|
| 162 |
+
"lizard": "44",
|
| 163 |
+
"lobster": "45",
|
| 164 |
+
"man": "46",
|
| 165 |
+
"maple_tree": "47",
|
| 166 |
+
"motorcycle": "48",
|
| 167 |
+
"mountain": "49",
|
| 168 |
+
"mouse": "50",
|
| 169 |
+
"mushroom": "51",
|
| 170 |
+
"oak_tree": "52",
|
| 171 |
+
"orange": "53",
|
| 172 |
+
"orchid": "54",
|
| 173 |
+
"otter": "55",
|
| 174 |
+
"palm_tree": "56",
|
| 175 |
+
"pear": "57",
|
| 176 |
+
"pickup_truck": "58",
|
| 177 |
+
"pine_tree": "59",
|
| 178 |
+
"plain": "60",
|
| 179 |
+
"plate": "61",
|
| 180 |
+
"poppy": "62",
|
| 181 |
+
"porcupine": "63",
|
| 182 |
+
"possum": "64",
|
| 183 |
+
"rabbit": "65",
|
| 184 |
+
"raccoon": "66",
|
| 185 |
+
"ray": "67",
|
| 186 |
+
"road": "68",
|
| 187 |
+
"rocket": "69",
|
| 188 |
+
"rose": "70",
|
| 189 |
+
"sea": "71",
|
| 190 |
+
"seal": "72",
|
| 191 |
+
"shark": "73",
|
| 192 |
+
"shrew": "74",
|
| 193 |
+
"skunk": "75",
|
| 194 |
+
"skyscraper": "76",
|
| 195 |
+
"snail": "77",
|
| 196 |
+
"snake": "78",
|
| 197 |
+
"spider": "79",
|
| 198 |
+
"squirrel": "80",
|
| 199 |
+
"streetcar": "81",
|
| 200 |
+
"sunflower": "82",
|
| 201 |
+
"sweet_pepper": "83",
|
| 202 |
+
"table": "84",
|
| 203 |
+
"tank": "85",
|
| 204 |
+
"telephone": "86",
|
| 205 |
+
"television": "87",
|
| 206 |
+
"tiger": "88",
|
| 207 |
+
"tractor": "89",
|
| 208 |
+
"train": "90",
|
| 209 |
+
"trout": "91",
|
| 210 |
+
"tulip": "92",
|
| 211 |
+
"turtle": "93",
|
| 212 |
+
"wardrobe": "94",
|
| 213 |
+
"whale": "95",
|
| 214 |
+
"willow_tree": "96",
|
| 215 |
+
"wolf": "97",
|
| 216 |
+
"woman": "98",
|
| 217 |
+
"worm": "99"
|
| 218 |
+
},
|
| 219 |
+
"layer_norm_eps": 1e-12,
|
| 220 |
+
"model_type": "vit",
|
| 221 |
+
"num_attention_heads": 16,
|
| 222 |
+
"num_channels": 3,
|
| 223 |
+
"num_hidden_layers": 24,
|
| 224 |
+
"patch_size": 16,
|
| 225 |
+
"problem_type": "single_label_classification",
|
| 226 |
+
"qkv_bias": true,
|
| 227 |
+
"torch_dtype": "float32",
|
| 228 |
+
"transformers_version": "4.39.3"
|
| 229 |
+
}
|
dr_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dr_accuracy": 0.9972470588235294,
|
| 3 |
+
"dr_loss": 0.020220542326569557,
|
| 4 |
+
"dr_runtime": 353.6004,
|
| 5 |
+
"dr_samples_per_second": 120.192,
|
| 6 |
+
"dr_steps_per_second": 0.472,
|
| 7 |
+
"epoch": 100.0
|
| 8 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:be07959d6fa0cb775a5bdf4c782097bae5869db4a8a50f76cddb16c7f9f0e70f
|
| 3 |
+
size 1213663080
|
preprocessor_config.json
ADDED
|
@@ -0,0 +1,36 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_valid_processor_keys": [
|
| 3 |
+
"images",
|
| 4 |
+
"do_resize",
|
| 5 |
+
"size",
|
| 6 |
+
"resample",
|
| 7 |
+
"do_rescale",
|
| 8 |
+
"rescale_factor",
|
| 9 |
+
"do_normalize",
|
| 10 |
+
"image_mean",
|
| 11 |
+
"image_std",
|
| 12 |
+
"return_tensors",
|
| 13 |
+
"data_format",
|
| 14 |
+
"input_data_format"
|
| 15 |
+
],
|
| 16 |
+
"do_normalize": true,
|
| 17 |
+
"do_rescale": true,
|
| 18 |
+
"do_resize": true,
|
| 19 |
+
"image_mean": [
|
| 20 |
+
0.5,
|
| 21 |
+
0.5,
|
| 22 |
+
0.5
|
| 23 |
+
],
|
| 24 |
+
"image_processor_type": "ViTImageProcessor",
|
| 25 |
+
"image_std": [
|
| 26 |
+
0.5,
|
| 27 |
+
0.5,
|
| 28 |
+
0.5
|
| 29 |
+
],
|
| 30 |
+
"resample": 2,
|
| 31 |
+
"rescale_factor": 0.00392156862745098,
|
| 32 |
+
"size": {
|
| 33 |
+
"height": 224,
|
| 34 |
+
"width": 224
|
| 35 |
+
}
|
| 36 |
+
}
|
test_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 100.0,
|
| 3 |
+
"test_accuracy": 0.9356,
|
| 4 |
+
"test_loss": 0.25322866439819336,
|
| 5 |
+
"test_runtime": 84.4915,
|
| 6 |
+
"test_samples_per_second": 118.355,
|
| 7 |
+
"test_steps_per_second": 0.473
|
| 8 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 100.0,
|
| 3 |
+
"train_loss": 0.2947179788530321,
|
| 4 |
+
"train_runtime": 117326.6726,
|
| 5 |
+
"train_samples_per_second": 36.224,
|
| 6 |
+
"train_steps_per_second": 0.567
|
| 7 |
+
}
|
trainer_state.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
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version https://git-lfs.github.com/spec/v1
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oid sha256:61511df09538e6804e936fb432e7b68b550ca72e3cbebb2760b47753bbd886cc
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size 4920
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