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  ---
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- library_name: transformers
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- # Model Card for Model ID
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  ---
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+ license: other
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+ base_model: nvidia/segformer-b1-finetuned-ade-512-512
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+ tags:
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+ - vision
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+ - image-segmentation
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+ - generated_from_trainer
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+ metrics:
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+ - precision
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+ model-index:
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+ - name: segformer-b1-finetuned-segments-pv_v1_normalized_p100_4batch_try1
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+ results: []
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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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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/mouadn773/huggingface/runs/5yd8nl25)
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+ # segformer-b1-finetuned-segments-pv_v1_normalized_p100_4batch_try1
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+
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+ This model is a fine-tuned version of [nvidia/segformer-b1-finetuned-ade-512-512](https://huggingface.co/nvidia/segformer-b1-finetuned-ade-512-512) on the mouadenna/satellite_PV_dataset_train_test_v1 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0012
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+ - Mean Iou: 0.9586
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+ - Precision: 0.9792
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0004
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 16
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 40
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+ - mixed_precision_training: Native AMP
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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 | Precision |
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+ |:-------------:|:-------:|:----:|:---------------:|:--------:|:---------:|
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+ | 0.2548 | 0.9989 | 229 | 0.0851 | 0.6627 | 0.7444 |
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+ | 0.0259 | 1.9978 | 458 | 0.0141 | 0.8187 | 0.8803 |
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+ | 0.011 | 2.9967 | 687 | 0.0082 | 0.8288 | 0.8937 |
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+ | 0.0073 | 4.0 | 917 | 0.0055 | 0.8596 | 0.8955 |
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+ | 0.0059 | 4.9989 | 1146 | 0.0053 | 0.8527 | 0.8786 |
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+ | 0.0047 | 5.9978 | 1375 | 0.0039 | 0.8920 | 0.9370 |
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+ | 0.0039 | 6.9967 | 1604 | 0.0039 | 0.8811 | 0.9470 |
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+ | 0.0041 | 8.0 | 1834 | 0.0046 | 0.8564 | 0.9432 |
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+ | 0.0042 | 8.9989 | 2063 | 0.0040 | 0.8786 | 0.9099 |
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+ | 0.004 | 9.9978 | 2292 | 0.0029 | 0.9062 | 0.9479 |
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+ | 0.0037 | 10.9967 | 2521 | 0.0030 | 0.9002 | 0.9557 |
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+ | 0.0031 | 12.0 | 2751 | 0.0026 | 0.9150 | 0.9415 |
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+ | 0.0028 | 12.9989 | 2980 | 0.0023 | 0.9216 | 0.9597 |
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+ | 0.0035 | 13.9978 | 3209 | 0.0038 | 0.8824 | 0.9091 |
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+ | 0.0032 | 14.9967 | 3438 | 0.0029 | 0.9041 | 0.9477 |
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+ | 0.0032 | 16.0 | 3668 | 0.0024 | 0.9191 | 0.9548 |
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+ | 0.0026 | 16.9989 | 3897 | 0.0025 | 0.9177 | 0.9487 |
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+ | 0.0024 | 17.9978 | 4126 | 0.0022 | 0.9235 | 0.9523 |
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+ | 0.0025 | 18.9967 | 4355 | 0.0021 | 0.9270 | 0.9563 |
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+ | 0.003 | 20.0 | 4585 | 0.0034 | 0.8911 | 0.9511 |
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+ | 0.0027 | 20.9989 | 4814 | 0.0023 | 0.9216 | 0.9576 |
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+ | 0.0024 | 21.9978 | 5043 | 0.0020 | 0.9296 | 0.9606 |
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+ | 0.0023 | 22.9967 | 5272 | 0.0019 | 0.9331 | 0.9602 |
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+ | 0.002 | 24.0 | 5502 | 0.0020 | 0.9318 | 0.9667 |
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+ | 0.002 | 24.9989 | 5731 | 0.0018 | 0.9373 | 0.9619 |
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+ | 0.0022 | 25.9978 | 5960 | 0.0019 | 0.9352 | 0.9582 |
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+ | 0.0025 | 26.9967 | 6189 | 0.0019 | 0.9328 | 0.9686 |
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+ | 0.0019 | 28.0 | 6419 | 0.0017 | 0.9400 | 0.9632 |
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+ | 0.0018 | 28.9989 | 6648 | 0.0016 | 0.9430 | 0.9689 |
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+ | 0.0017 | 29.9978 | 6877 | 0.0016 | 0.9443 | 0.9712 |
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+ | 0.0017 | 30.9967 | 7106 | 0.0015 | 0.9471 | 0.9720 |
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+ | 0.0016 | 32.0 | 7336 | 0.0015 | 0.9492 | 0.9719 |
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+ | 0.0016 | 32.9989 | 7565 | 0.0014 | 0.9503 | 0.9721 |
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+ | 0.0015 | 33.9978 | 7794 | 0.0014 | 0.9525 | 0.9737 |
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+ | 0.0015 | 34.9967 | 8023 | 0.0013 | 0.9532 | 0.9713 |
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+ | 0.0014 | 36.0 | 8253 | 0.0013 | 0.9536 | 0.9687 |
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+ | 0.0014 | 36.9989 | 8482 | 0.0012 | 0.9562 | 0.9733 |
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+ | 0.0014 | 37.9978 | 8711 | 0.0012 | 0.9576 | 0.9767 |
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+ | 0.0014 | 38.9967 | 8940 | 0.0012 | 0.9579 | 0.9749 |
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+ | 0.0014 | 39.9564 | 9160 | 0.0012 | 0.9586 | 0.9792 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.42.3
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+ - Pytorch 2.1.2
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ "transformers_version": "4.42.3"
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