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segformer-b0-finetuned-deprem-satellite

Image Segmentation
Transformers
TensorFlow
Safetensors
segformer
vision
Generated from Trainer
Inference Endpoints
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Upload TFSegformerForSemanticSegmentation

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  1. README.md +101 -1
  2. config.json +78 -0
  3. tf_model.h5 +3 -0
README.md CHANGED
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  ---
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- license: mit
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+
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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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+
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+ # segformer-b0-finetuned-deprem-satellite
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+
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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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+
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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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+ - 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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+
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+ ### Training results
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+
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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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+
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+
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+ ### Framework versions
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+
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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
config.json ADDED
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+ {
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+ "_name_or_path": "nvidia/segformer-b0-finetuned-ade-512-512",
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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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+ 2,
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+ 2
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+ ],
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+ "downsampling_rates": [
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+ 1,
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+ 4,
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+ 8,
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+ 16
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+ ],
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+ "drop_path_rate": 0.1,
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+ "hidden_act": "gelu",
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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": "building"
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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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+ "building": 1,
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+ "unlabeled": 0
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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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+ 4,
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+ 4,
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+ 4
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+ ],
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+ "model_type": "segformer",
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+ "num_attention_heads": [
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+ 1,
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+ 2,
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+ 5,
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+ 8
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+ ],
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+ "num_channels": 3,
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+ "num_encoder_blocks": 4,
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+ "patch_sizes": [
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+ 7,
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+ 3,
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+ 3,
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+ 3
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+ ],
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+ "reshape_last_stage": true,
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+ "semantic_loss_ignore_index": 255,
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+ "sr_ratios": [
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+ 8,
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+ 4,
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+ 2,
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+ 1
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+ ],
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+ "strides": [
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+ 4,
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+ 2,
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+ 2,
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+ 2
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+ ],
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.36.2"
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+ }
tf_model.h5 ADDED
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