End of training
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README.md
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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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- vision
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- image-segmentation
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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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pipeline_tag: image-segmentation
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widget:
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- src: https://datasets-server.huggingface.co/assets/deprem-ml/deprem_satellite_semantic_whu_dataset/--/default/train/3/image/image.jpg
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example_title: Example 1
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- src: https://datasets-server.huggingface.co/assets/deprem-ml/deprem_satellite_semantic_whu_dataset/--/default/train/9/image/image.jpg
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example_title: Example 2
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---
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<!-- This model card has been generated automatically according to the information
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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
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It achieves the following results on the evaluation set:
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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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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| 0.0501 | 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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| 0.0463 | 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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| 0.0425 | 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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### Framework versions
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- Transformers 4.36.2
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- Datasets 2.16.1
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- Tokenizers 0.15.0
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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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- vision
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- image-segmentation
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- generated_from_trainer
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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 the Trainer had access to. You
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should 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 the deprem-ml/deprem_satellite_semantic_whu_dataset dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.0849
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- eval_runtime: 64.056
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- eval_samples_per_second: 16.173
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- eval_steps_per_second: 4.043
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- epoch: 4.18
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- step: 3960
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## Model description
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### Training hyperparameters
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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: 5
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- eval_batch_size: 4
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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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### Framework versions
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- Transformers 4.36.2
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- Pytorch 2.1.2
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- Datasets 2.16.1
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- Tokenizers 0.15.0
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:bfe3c78af33b55e3899e0632e124223ab0602f9fa7c9298bcacfcd653fa38275
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size 14884776
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:014646daa30947a2a5e78b514576ccb3f04faed51db92120b962d4c9ba2c81aa
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size 4728
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