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End of training

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README.md ADDED
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+ ---
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+ license: other
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+ base_model: nvidia/mit-b0
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: Aerial-Drone-Image-Segmentation
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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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+ # Aerial-Drone-Image-Segmentation
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+
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+ This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.8852
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+ - Mean Iou: 0.2994
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+ - Mean Accuracy: 0.3923
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+ - Overall Accuracy: 0.7774
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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: 5e-05
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+ - train_batch_size: 24
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+ - eval_batch_size: 8
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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: 50
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|
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+ | 2.7923 | 1.25 | 20 | 2.8338 | 0.0954 | 0.1626 | 0.5529 |
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+ | 2.219 | 2.5 | 40 | 2.1391 | 0.1036 | 0.1666 | 0.5929 |
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+ | 1.9451 | 3.75 | 60 | 1.7919 | 0.1154 | 0.1782 | 0.6129 |
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+ | 1.7558 | 5.0 | 80 | 1.6767 | 0.1300 | 0.1961 | 0.6396 |
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+ | 1.6381 | 6.25 | 100 | 1.5817 | 0.1383 | 0.2055 | 0.6550 |
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+ | 1.5338 | 7.5 | 120 | 1.4816 | 0.1464 | 0.2140 | 0.6729 |
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+ | 1.4478 | 8.75 | 140 | 1.4231 | 0.1529 | 0.2219 | 0.6823 |
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+ | 1.361 | 10.0 | 160 | 1.3300 | 0.1637 | 0.2315 | 0.6975 |
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+ | 1.306 | 11.25 | 180 | 1.3034 | 0.1737 | 0.2419 | 0.7060 |
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+ | 1.2611 | 12.5 | 200 | 1.2692 | 0.1755 | 0.2450 | 0.7093 |
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+ | 1.2317 | 13.75 | 220 | 1.2190 | 0.1821 | 0.2501 | 0.7145 |
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+ | 1.1868 | 15.0 | 240 | 1.2063 | 0.1862 | 0.2539 | 0.7188 |
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+ | 1.1628 | 16.25 | 260 | 1.1832 | 0.1909 | 0.2612 | 0.7234 |
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+ | 1.1149 | 17.5 | 280 | 1.1368 | 0.2048 | 0.2739 | 0.7317 |
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+ | 1.1009 | 18.75 | 300 | 1.1117 | 0.2232 | 0.2938 | 0.7387 |
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+ | 1.0532 | 20.0 | 320 | 1.0923 | 0.2315 | 0.2997 | 0.7414 |
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+ | 1.0464 | 21.25 | 340 | 1.0821 | 0.2408 | 0.3147 | 0.7480 |
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+ | 1.0278 | 22.5 | 360 | 1.0541 | 0.2517 | 0.3277 | 0.7530 |
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+ | 0.9945 | 23.75 | 380 | 1.0352 | 0.2612 | 0.3398 | 0.7573 |
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+ | 0.9729 | 25.0 | 400 | 1.0207 | 0.2671 | 0.3511 | 0.7609 |
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+ | 0.9527 | 26.25 | 420 | 1.0067 | 0.2684 | 0.3547 | 0.7609 |
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+ | 0.9494 | 27.5 | 440 | 0.9870 | 0.2713 | 0.3548 | 0.7627 |
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+ | 0.9287 | 28.75 | 460 | 0.9729 | 0.2745 | 0.3619 | 0.7640 |
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+ | 0.9089 | 30.0 | 480 | 0.9561 | 0.2791 | 0.3640 | 0.7680 |
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+ | 0.9064 | 31.25 | 500 | 0.9500 | 0.2799 | 0.3712 | 0.7672 |
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+ | 0.8681 | 32.5 | 520 | 0.9397 | 0.2845 | 0.3749 | 0.7696 |
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+ | 0.8677 | 33.75 | 540 | 0.9340 | 0.2835 | 0.3737 | 0.7692 |
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+ | 0.8663 | 35.0 | 560 | 0.9243 | 0.2862 | 0.3755 | 0.7716 |
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+ | 0.8629 | 36.25 | 580 | 0.9173 | 0.2869 | 0.3766 | 0.7719 |
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+ | 0.8542 | 37.5 | 600 | 0.9112 | 0.2908 | 0.3810 | 0.7740 |
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+ | 0.8391 | 38.75 | 620 | 0.9050 | 0.2904 | 0.3812 | 0.7734 |
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+ | 0.8392 | 40.0 | 640 | 0.9027 | 0.2917 | 0.3818 | 0.7734 |
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+ | 0.8306 | 41.25 | 660 | 0.8949 | 0.2941 | 0.3841 | 0.7755 |
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+ | 0.8213 | 42.5 | 680 | 0.8936 | 0.2958 | 0.3875 | 0.7760 |
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+ | 0.8406 | 43.75 | 700 | 0.8910 | 0.2964 | 0.3879 | 0.7763 |
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+ | 0.8254 | 45.0 | 720 | 0.8889 | 0.2981 | 0.3897 | 0.7764 |
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+ | 0.8202 | 46.25 | 740 | 0.8880 | 0.2985 | 0.3917 | 0.7767 |
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+ | 0.8013 | 47.5 | 760 | 0.8891 | 0.2989 | 0.3923 | 0.7767 |
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+ | 0.8188 | 48.75 | 780 | 0.8861 | 0.2994 | 0.3926 | 0.7772 |
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+ | 0.8089 | 50.0 | 800 | 0.8852 | 0.2994 | 0.3923 | 0.7774 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.1
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+ - Pytorch 2.1.2
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+ - Datasets 2.1.0
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+ - Tokenizers 0.15.2
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+ {
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+ "_name_or_path": "nvidia/mit-b0",
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+ "architectures": [
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+ "SegformerForSemanticSegmentation"
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+ ],
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+ "attention_probs_dropout_prob": 0.0,
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+ "classifier_dropout_prob": 0.1,
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+ "decoder_hidden_size": 256,
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+ "depths": [
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+ 2,
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+ 2,
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+ "downsampling_rates": [
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+ 1,
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+ 8,
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+ "drop_path_rate": 0.1,
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+ "hidden_dropout_prob": 0.0,
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+ "hidden_sizes": [
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+ 32,
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+ 64,
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+ 160,
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+ 256
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+ ],
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+ "id2label": {
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+ "0": "unlabeled",
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+ "1": "paved-area",
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+ "2": "dirt",
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+ "3": "grass",
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+ "4": "gravel",
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+ "5": "water",
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+ "6": "rocks",
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+ "7": "pool",
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+ "8": "vegetation",
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+ "9": "roof",
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+ "10": "wall",
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+ "11": "window",
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+ "12": "door",
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+ "13": "fence",
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+ "14": "fence-pole",
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+ "15": "person",
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+ "16": "dog",
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+ "17": "car",
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+ "18": "bicycle",
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+ "19": "tree",
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+ "20": "bald-tree",
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+ "21": "ar-marker",
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+ "22": "obstacle",
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+ "23": "conflicting"
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+ },
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+ "image_size": 224,
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+ "initializer_range": 0.02,
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+ "label2id": {
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+ "ar-marker": 21,
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+ "bald-tree": 20,
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+ "bicycle": 18,
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+ "car": 17,
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+ "conflicting": 23,
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+ "grass": 3,
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+ "gravel": 4,
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+ "obstacle": 22,
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+ "paved-area": 1,
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+ "person": 15,
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+ "pool": 7,
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+ "rocks": 6,
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+ "roof": 9,
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+ "tree": 19,
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+ "unlabeled": 0,
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+ "vegetation": 8,
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+ "wall": 10,
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+ "water": 5,
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+ "window": 11
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+ },
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+ "layer_norm_eps": 1e-06,
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+ "mlp_ratios": [
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+ 4,
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+ "model_type": "segformer",
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+ "num_attention_heads": [
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+ "num_channels": 3,
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+ "num_encoder_blocks": 4,
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+ "reshape_last_stage": true,
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+ "semantic_loss_ignore_index": 255,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.38.1"
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+ }
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'ray_scope': 'last', 'ddp_timeout': 1800, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'dispatch_batches': None, 'split_batches': None, 'include_tokens_per_second': False, 'include_num_input_tokens_seen': False, 'neftune_noise_alpha': None}
wandb/run-20240325_163210-3h8l4wm4/files/conda-environment.yaml ADDED
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1
+ name: base
2
+ channels:
3
+ - pytorch
4
+ - file:///tmp/conda
5
+ - rapidsai
6
+ - nvidia
7
+ - conda-forge
8
+ - defaults
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402
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wandb/run-20240325_163210-3h8l4wm4/logs/debug-internal.log ADDED
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+ 2024-03-25 16:32:10,060 INFO MainThread:34 [wandb_setup.py:_flush():76] Configure stats pid to 34
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10
+ 2024-03-25 16:32:10,061 INFO MainThread:34 [wandb_init.py:_log_setup():527] Logging internal logs to /kaggle/working/wandb/run-20240325_163210-3h8l4wm4/logs/debug-internal.log
11
+ 2024-03-25 16:32:10,061 INFO MainThread:34 [wandb_init.py:_jupyter_setup():472] configuring jupyter hooks <wandb.sdk.wandb_init._WandbInit object at 0x7fc9c40c1a50>
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+ 2024-03-25 16:32:10,061 INFO MainThread:34 [wandb_init.py:init():566] calling init triggers
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+ config: {}
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+
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+ 2024-03-25 16:32:11,124 INFO MainThread:34 [wandb_init.py:init():804] starting run threads in backend
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+ 2024-03-25 16:32:17,070 ERROR MainThread:34 [wandb_init.py:init():1204] error
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+ File "/opt/conda/lib/python3.10/site-packages/wandb/sdk/wandb_init.py", line 1176, in init
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+ run = wi.init()
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+ File "/opt/conda/lib/python3.10/site-packages/wandb/sdk/wandb_init.py", line 817, in init
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+ run_start_result = run_start_handle.wait(timeout=30)
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+ File "/opt/conda/lib/python3.10/site-packages/wandb/sdk/lib/mailbox.py", line 283, in wait
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+ found, abandoned = self._slot._get_and_clear(timeout=wait_timeout)
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+ File "/opt/conda/lib/python3.10/site-packages/wandb/sdk/lib/mailbox.py", line 130, in _get_and_clear
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+ if self._wait(timeout=timeout):
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+ File "/opt/conda/lib/python3.10/site-packages/wandb/sdk/lib/mailbox.py", line 126, in _wait
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+ return self._event.wait(timeout=timeout)
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+ File "/opt/conda/lib/python3.10/threading.py", line 607, in wait
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+ signaled = self._cond.wait(timeout)
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+ File "/opt/conda/lib/python3.10/threading.py", line 324, in wait
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+ gotit = waiter.acquire(True, timeout)
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+ KeyboardInterrupt
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+
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+ During handling of the above exception, another exception occurred:
45
+
46
+ Traceback (most recent call last):
47
+ File "/opt/conda/lib/python3.10/site-packages/wandb/sdk/wandb_init.py", line 1184, in init
48
+ getcaller()
49
+ File "/opt/conda/lib/python3.10/site-packages/wandb/sdk/wandb_init.py", line 854, in getcaller
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+ src, line, func, stack = logger.findCaller(stack_info=True)
51
+ File "/root/.local/lib/python3.10/site-packages/log.py", line 45, in findCaller
52
+ traceback.print_stack(f, file=sio)
53
+ NameError: name 'traceback' is not defined
54
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+ 2024-03-25 16:38:05,376 INFO MainThread:34 [wandb_setup.py:_flush():76] Loading settings from /kaggle/working/wandb/settings
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+ 2024-03-25 16:38:05,376 INFO MainThread:34 [wandb_setup.py:_flush():76] Applying setup settings: {'_disable_service': False}
60
+ 2024-03-25 16:38:05,376 INFO MainThread:34 [wandb_setup.py:_flush():76] Inferring run settings from compute environment: {'program': '<python with no main file>'}
61
+ 2024-03-25 16:38:05,376 INFO MainThread:34 [wandb_setup.py:_flush():76] Applying login settings: {'api_key': '***REDACTED***'}
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+ 2024-03-25 16:38:05,376 INFO MainThread:34 [wandb_init.py:_log_setup():526] Logging user logs to /kaggle/working/wandb/run-20240325_163805-af3v50r7/logs/debug.log
63
+ 2024-03-25 16:38:05,377 INFO MainThread:34 [wandb_init.py:_log_setup():527] Logging internal logs to /kaggle/working/wandb/run-20240325_163805-af3v50r7/logs/debug-internal.log
64
+ 2024-03-25 16:38:05,377 INFO MainThread:34 [wandb_init.py:init():566] calling init triggers
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+ config: {}
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68
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70
+ 2024-03-25 16:38:05,380 INFO MainThread:34 [wandb_init.py:init():628] backend started and connected
71
+ 2024-03-25 16:38:05,393 INFO MainThread:34 [wandb_run.py:_label_probe_notebook():1295] probe notebook
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+ 2024-03-25 16:38:06,176 INFO MainThread:34 [wandb_init.py:init():720] updated telemetry
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+ 2024-03-25 16:38:06,413 INFO MainThread:34 [wandb_run.py:_on_init():2262] communicating current version
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76
+ 2024-03-25 16:39:06,452 INFO MainThread:34 [wandb_run.py:_console_start():2241] atexit reg
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+ 2024-03-25 16:39:06,453 INFO MainThread:34 [wandb_run.py:_redirect():2186] Redirects installed.
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+ 2024-03-25 16:39:06,455 INFO MainThread:34 [wandb_init.py:init():847] run started, returning control to user process
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+ 2024-03-25 16:39:06,464 INFO MainThread:34 [wandb_run.py:_config_callback():1343] config_cb None None {'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': 'float32', 'use_bfloat16': False, 'tf_legacy_loss': False, 'pruned_heads': {}, 'tie_word_embeddings': True, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': False, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'max_length': 20, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 'num_beam_groups': 1, 'diversity_penalty': 0.0, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'typical_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'no_repeat_ngram_size': 0, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 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'eos_token_id': None, 'sep_token_id': None, 'decoder_start_token_id': None, 'task_specific_params': None, 'problem_type': None, '_name_or_path': 'nvidia/mit-b0', 'transformers_version': '4.38.1', 'downsampling_rates': [1, 4, 8, 16], 'image_size': 224, 'model_type': 'segformer', 'num_channels': 3, 'num_encoder_blocks': 4, 'depths': [2, 2, 2, 2], 'sr_ratios': [8, 4, 2, 1], 'hidden_sizes': [32, 64, 160, 256], 'patch_sizes': [7, 3, 3, 3], 'strides': [4, 2, 2, 2], 'mlp_ratios': [4, 4, 4, 4], 'num_attention_heads': [1, 2, 5, 8], 'hidden_act': 'gelu', 'hidden_dropout_prob': 0.0, 'attention_probs_dropout_prob': 0.0, 'classifier_dropout_prob': 0.1, 'initializer_range': 0.02, 'drop_path_rate': 0.1, 'layer_norm_eps': 1e-06, 'decoder_hidden_size': 256, 'reshape_last_stage': True, 'semantic_loss_ignore_index': 255, 'output_dir': '/kaggle/working/', 'overwrite_output_dir': False, 'do_train': False, 'do_eval': True, 'do_predict': False, 'evaluation_strategy': 'steps', 'prediction_loss_only': False, 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402
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403
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404
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405
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406
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474
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502
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503
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544
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572
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573
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574
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576
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579
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607
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613
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614
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615
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622
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623
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627
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628
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672
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709
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711
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712
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713
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714
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715
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716
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717
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718
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720
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722
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732
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733
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735
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737
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738
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749
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750
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751
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752
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754
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755
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756
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757
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758
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759
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760
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761
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762
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768
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771
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772
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773
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774
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776
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778
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780
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783
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785
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791
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792
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794
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796
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800
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801
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802
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803
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804
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805
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806
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808
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810
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812
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813
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814
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816
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817
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818
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830
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833
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838
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840
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841
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842
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wandb/run-20240325_163805-af3v50r7/run-af3v50r7.wandb ADDED
Binary file (266 kB). View file