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Segformer-MRIseg_model

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TensorFlow
segformer
generated_from_keras_callback
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  1. README.md +113 -0
  2. config.json +78 -0
  3. tf_model.h5 +3 -0
README.md ADDED
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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-MRIseg_model
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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-MRIseg_model
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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: 0.0049
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+ - Validation Loss: 0.0133
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+ - Epoch: 59
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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': 0.001, '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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+ | 0.2537 | 0.0685 | 0 |
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+ | 0.0849 | 0.0639 | 1 |
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+ | 0.0664 | 0.0532 | 2 |
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+ | 0.0580 | 0.0503 | 3 |
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+ | 0.0536 | 0.0497 | 4 |
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+ | 0.0476 | 0.0396 | 5 |
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+ | 0.0437 | 0.0477 | 6 |
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+ | 0.0359 | 0.0397 | 7 |
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+ | 0.0312 | 0.0289 | 8 |
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+ | 0.0256 | 0.0322 | 9 |
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+ | 0.0241 | 0.0279 | 10 |
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+ | 0.0220 | 0.0229 | 11 |
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+ | 0.0180 | 0.0226 | 12 |
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+ | 0.0160 | 0.0192 | 13 |
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+ | 0.0165 | 0.0227 | 14 |
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+ | 0.0151 | 0.0194 | 15 |
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+ | 0.0146 | 0.0184 | 16 |
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+ | 0.0132 | 0.0177 | 17 |
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+ | 0.0121 | 0.0211 | 18 |
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+ | 0.0111 | 0.0197 | 19 |
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+ | 0.0107 | 0.0175 | 20 |
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+ | 0.0116 | 0.0131 | 21 |
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+ | 0.0115 | 0.0181 | 22 |
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+ | 0.0094 | 0.0153 | 23 |
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+ | 0.0099 | 0.0140 | 24 |
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+ | 0.0098 | 0.0151 | 25 |
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+ | 0.0084 | 0.0126 | 26 |
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+ | 0.0080 | 0.0140 | 27 |
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+ | 0.0071 | 0.0128 | 28 |
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+ | 0.0067 | 0.0169 | 29 |
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+ | 0.0061 | 0.0131 | 30 |
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+ | 0.0063 | 0.0207 | 31 |
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+ | 0.0067 | 0.0129 | 32 |
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+ | 0.0062 | 0.0152 | 33 |
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+ | 0.0056 | 0.0148 | 34 |
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+ | 0.0056 | 0.0171 | 35 |
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+ | 0.0051 | 0.0154 | 36 |
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+ | 0.0049 | 0.0172 | 37 |
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+ | 0.0049 | 0.0180 | 38 |
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+ | 0.0056 | 0.0168 | 39 |
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+ | 0.0050 | 0.0142 | 40 |
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+ | 0.0048 | 0.0165 | 41 |
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+ | 0.0051 | 0.0195 | 42 |
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+ | 0.0048 | 0.0232 | 43 |
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+ | 0.0042 | 0.0208 | 44 |
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+ | 0.0041 | 0.0249 | 45 |
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+ | 0.0044 | 0.0220 | 46 |
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+ | 0.0041 | 0.0234 | 47 |
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+ | 0.0042 | 0.0198 | 48 |
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+ | 0.0040 | 0.0282 | 49 |
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+ | 0.0039 | 0.0251 | 50 |
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+ | 0.0039 | 0.0302 | 51 |
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+ | 0.0041 | 0.0219 | 52 |
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+ | 0.0040 | 0.0187 | 53 |
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+ | 0.0039 | 0.0203 | 54 |
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+ | 0.0043 | 0.0180 | 55 |
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+ | 0.0051 | 0.0150 | 56 |
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+ | 0.0079 | 0.0205 | 57 |
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+ | 0.0052 | 0.0152 | 58 |
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+ | 0.0049 | 0.0133 | 59 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.31.0
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+ - TensorFlow 2.12.0
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+ - Datasets 2.14.4
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+ - Tokenizers 0.13.3
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": "bg",
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+ "1": "tumor"
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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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+ "bg": 0,
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+ "tumor": 1
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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": "4.31.0"
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+ }
tf_model.h5 ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:fc1e6bbc8998d23707edbdf6b11eeb44898e543f91f9f6e15510e63977e9a4a0
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+ size 15133552