gokceKy commited on
Commit
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End of training

Browse files
README.md CHANGED
@@ -1,55 +1,51 @@
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- ---
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- base_model: nvidia/mit-b0
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- library_name: transformers
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- license: other
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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-segments-sidewalk-oct-22
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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 the Trainer had access to. You
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- should probably proofread and complete it, then remove this comment. -->
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-
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- # segformer-b0-finetuned-segments-sidewalk-oct-22
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-
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- This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the segments/sidewalk-semantic dataset.
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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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- - learning_rate: 0.6
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- - train_batch_size: 6
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- - eval_batch_size: 6
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- - seed: 42
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- - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- - lr_scheduler_type: linear
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- - num_epochs: 1
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-
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- ### Training results
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-
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-
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-
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- ### Framework versions
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-
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- - Transformers 4.46.2
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- - Pytorch 2.4.1+cpu
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- - Datasets 3.1.0
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- - Tokenizers 0.20.3
 
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+ ---
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+ library_name: transformers
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+ license: other
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+ base_model: nvidia/mit-b0
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+ tags:
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+ - vision
7
+ - image-segmentation
8
+ - generated_from_trainer
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+ model-index:
10
+ - name: segformer-b0-finetuned-segments-sidewalk-oct-22
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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 the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # segformer-b0-finetuned-segments-sidewalk-oct-22
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+
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+ This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the segments/sidewalk-semantic dataset.
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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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+
27
+ More information needed
28
+
29
+ ## Training and evaluation data
30
+
31
+ More information needed
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+
33
+ ## Training procedure
34
+
35
+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0001
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+ - train_batch_size: 2
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+ - eval_batch_size: 2
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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: 10
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+
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+ ### Framework versions
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+
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+ - Transformers 4.44.2
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+ - Pytorch 2.5.0+cu121
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+ - Datasets 3.1.0
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+ - Tokenizers 0.19.1
 
 
 
 
config.json CHANGED
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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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- "26": "object-trafficsign",
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- "29": "nature-terrain",
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