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--- |
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license: other |
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base_model: nvidia/segformer-b0-finetuned-ade-512-512 |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: segformer-b0-finetuned-deprem-satellite |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# segformer-b0-finetuned-deprem-satellite |
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This model is a fine-tuned version of [nvidia/segformer-b0-finetuned-ade-512-512](https://huggingface.co./nvidia/segformer-b0-finetuned-ade-512-512) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.0405 |
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- Validation Loss: 0.0344 |
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- Epoch: 49 |
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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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- optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 5e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Validation Loss | Epoch | |
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|:----------:|:---------------:|:-----:| |
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| 0.1619 | 0.0524 | 0 | |
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| 0.0943 | 0.0437 | 1 | |
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| 0.0811 | 0.0402 | 2 | |
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| 0.0756 | 0.0390 | 3 | |
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| 0.0714 | 0.0365 | 4 | |
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| 0.0676 | 0.0367 | 5 | |
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| 0.0648 | 0.0361 | 6 | |
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| 0.0627 | 0.0352 | 7 | |
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| 0.0617 | 0.0423 | 8 | |
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| 0.0597 | 0.0348 | 9 | |
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| 0.0582 | 0.0338 | 10 | |
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| 0.0575 | 0.0340 | 11 | |
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| 0.0553 | 0.0338 | 12 | |
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| 0.0551 | 0.0328 | 13 | |
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| 0.0542 | 0.0353 | 14 | |
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| 0.0541 | 0.0348 | 15 | |
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| 0.0526 | 0.0325 | 16 | |
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| 0.0512 | 0.0326 | 17 | |
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| 0.0511 | 0.0338 | 18 | |
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| 0.0506 | 0.0338 | 19 | |
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| 0.0501 | 0.0326 | 20 | |
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| 0.0488 | 0.0339 | 21 | |
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| 0.0488 | 0.0329 | 22 | |
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| 0.0481 | 0.0335 | 23 | |
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| 0.0475 | 0.0327 | 24 | |
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| 0.0469 | 0.0335 | 25 | |
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| 0.0463 | 0.0331 | 26 | |
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| 0.0478 | 0.0326 | 27 | |
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| 0.0455 | 0.0331 | 28 | |
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| 0.0511 | 0.0328 | 29 | |
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| 0.0454 | 0.0327 | 30 | |
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| 0.0447 | 0.0330 | 31 | |
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| 0.0466 | 0.0341 | 32 | |
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| 0.0445 | 0.0331 | 33 | |
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| 0.0441 | 0.0333 | 34 | |
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| 0.0438 | 0.0337 | 35 | |
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| 0.0441 | 0.0347 | 36 | |
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| 0.0463 | 0.0334 | 37 | |
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| 0.0446 | 0.0336 | 38 | |
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| 0.0430 | 0.0337 | 39 | |
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| 0.0425 | 0.0342 | 40 | |
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| 0.0422 | 0.0339 | 41 | |
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| 0.0426 | 0.0348 | 42 | |
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| 0.0418 | 0.0339 | 43 | |
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| 0.0416 | 0.0339 | 44 | |
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| 0.0414 | 0.0343 | 45 | |
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| 0.0423 | 0.0337 | 46 | |
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| 0.0408 | 0.0353 | 47 | |
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| 0.0405 | 0.0343 | 48 | |
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| 0.0405 | 0.0344 | 49 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- TensorFlow 2.15.0 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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