Upload TFSegformerForSemanticSegmentation
Browse files- README.md +53 -0
- config.json +78 -0
- tf_model.h5 +3 -0
README.md
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---
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license: other
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base_model: nvidia/mit-b0
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tags:
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- generated_from_keras_callback
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model-index:
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- name: test_segformer
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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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# test_segformer
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This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 1.3192
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- Validation Loss: 1.7124
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- Epoch: 0
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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': 6e-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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| 1.3192 | 1.7124 | 0 |
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### Framework versions
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- Transformers 4.33.2
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- TensorFlow 2.13.0
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- Tokenizers 0.13.3
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config.json
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{
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"_name_or_path": "nvidia/mit-b0",
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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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],
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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": "background",
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"1": "crack"
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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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"background": 0,
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"crack": 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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],
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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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],
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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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],
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"strides": [
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],
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"torch_dtype": "float32",
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"transformers_version": "4.33.2"
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}
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:1ccfe31f887eaaf6b94b4de8f26869a4859c6db276e7f64f3009e8270e664168
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size 15133552
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