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README.md +86 -196
config.json +90 -0
model.safetensors +3 -0
training_args.bin +3 -0

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 ---
-library_name: transformers
-tags: []
 ---
-# Model Card for Model ID
-<!-- Provide a quick summary of what the model is/does. -->
-## Model Details
-### Model Description
-<!-- Provide a longer summary of what this model is. -->
-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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-## Uses
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-## How to Get Started with the Model
-Use the code below to get started with the model.
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-## Training Details
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 ---
+license: other
+base_model: sayeed99/segformer-b3-fashion
+tags:
+- vision
+- image-segmentation
+- generated_from_trainer
+model-index:
+- name: segformer-b3-fashion-finetuned-polo-segments-v1.3
+  results: []
 ---
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+# segformer-b3-fashion-finetuned-polo-segments-v1.3
+This model is a fine-tuned version of [sayeed99/segformer-b3-fashion](https://huggingface.co/sayeed99/segformer-b3-fashion) on the sshk/polo-badges-segmentation dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0429
+- Mean Iou: 0.9091
+- Mean Accuracy: 0.9403
+- Overall Accuracy: 0.9851
+- Accuracy Unlabeled: nan
+- Accuracy Collar: 0.9095
+- Accuracy Polo: 0.9879
+- Accuracy Lines-cuff: 0.8355
+- Accuracy Lines-chest: 0.9287
+- Accuracy Human: 0.9883
+- Accuracy Background: 0.9918
+- Accuracy Tape: nan
+- Iou Unlabeled: nan
+- Iou Collar: 0.8597
+- Iou Polo: 0.9688
+- Iou Lines-cuff: 0.7831
+- Iou Lines-chest: 0.8815
+- Iou Human: 0.9746
+- Iou Background: 0.9872
+- Iou Tape: nan
+## Model description
+More information needed
+## Intended uses & limitations
+More information needed
+## Training and evaluation data
+More information needed
+## Training procedure
+### Training hyperparameters
+The following hyperparameters were used during training:
+- learning_rate: 6e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 30
+### Training results
+| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Unlabeled | Accuracy Collar | Accuracy Polo | Accuracy Lines-cuff | Accuracy Lines-chest | Accuracy Human | Accuracy Background | Accuracy Tape | Iou Unlabeled | Iou Collar | Iou Polo | Iou Lines-cuff | Iou Lines-chest | Iou Human | Iou Background | Iou Tape |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:------------------:|:---------------:|:-------------:|:-------------------:|:--------------------:|:--------------:|:-------------------:|:-------------:|:-------------:|:----------:|:--------:|:--------------:|:---------------:|:---------:|:--------------:|:--------:|
+| 0.2226        | 2.5   | 20   | 0.0915          | 0.7423   | 0.7696        | 0.9768           | nan                | 0.8423          | 0.9889        | 0.0156              | 0.8004               | 0.9801         | 0.9903              | nan           | nan           | 0.8056     | 0.9535   | 0.0156         | 0.7379          | 0.9604    | 0.9808         | nan      |
+| 0.0879        | 5.0   | 40   | 0.0644          | 0.8691   | 0.8908        | 0.9806           | nan                | 0.8701          | 0.9901        | 0.7111              | 0.7998               | 0.9908         | 0.9829              | nan           | nan           | 0.8372     | 0.9618   | 0.6922         | 0.7759          | 0.9674    | 0.9801         | nan      |
+| 0.0599        | 7.5   | 60   | 0.0525          | 0.8927   | 0.9223        | 0.9838           | nan                | 0.9040          | 0.9855        | 0.7850              | 0.8792               | 0.9893         | 0.9911              | nan           | nan           | 0.8543     | 0.9668   | 0.7381         | 0.8389          | 0.9725    | 0.9855         | nan      |
+| 0.0517        | 10.0  | 80   | 0.0502          | 0.9011   | 0.9358        | 0.9834           | nan                | 0.9092          | 0.9874        | 0.8282              | 0.9140               | 0.9884         | 0.9873              | nan           | nan           | 0.8556     | 0.9661   | 0.7672         | 0.8625          | 0.9710    | 0.9843         | nan      |
+| 0.0494        | 12.5  | 100  | 0.0479          | 0.9039   | 0.9372        | 0.9837           | nan                | 0.9074          | 0.9885        | 0.8218              | 0.9300               | 0.9865         | 0.9892              | nan           | nan           | 0.8575     | 0.9655   | 0.7714         | 0.8721          | 0.9713    | 0.9857         | nan      |
+| 0.0507        | 15.0  | 120  | 0.0451          | 0.9082   | 0.9415        | 0.9844           | nan                | 0.9126          | 0.9875        | 0.8438              | 0.9271               | 0.9869         | 0.9910              | nan           | nan           | 0.8592     | 0.9669   | 0.7864         | 0.8774          | 0.9728    | 0.9867         | nan      |
+| 0.0382        | 17.5  | 140  | 0.0460          | 0.9074   | 0.9382        | 0.9840           | nan                | 0.9056          | 0.9897        | 0.8399              | 0.9181               | 0.9831         | 0.9930              | nan           | nan           | 0.8585     | 0.9651   | 0.7862         | 0.8760          | 0.9717    | 0.9870         | nan      |
+| 0.0365        | 20.0  | 160  | 0.0448          | 0.9104   | 0.9423        | 0.9846           | nan                | 0.9118          | 0.9869        | 0.8552              | 0.9210               | 0.9904         | 0.9887              | nan           | nan           | 0.8581     | 0.9686   | 0.7969         | 0.8793          | 0.9736    | 0.9857         | nan      |
+| 0.0437        | 22.5  | 180  | 0.0435          | 0.9084   | 0.9397        | 0.9849           | nan                | 0.9087          | 0.9881        | 0.8299              | 0.9323               | 0.9888         | 0.9907              | nan           | nan           | 0.8595     | 0.9686   | 0.7788         | 0.8824          | 0.9742    | 0.9869         | nan      |
+| 0.0462        | 25.0  | 200  | 0.0433          | 0.9077   | 0.9378        | 0.9850           | nan                | 0.9076          | 0.9881        | 0.8308              | 0.9202               | 0.9886         | 0.9915              | nan           | nan           | 0.8597     | 0.9685   | 0.7789         | 0.8776          | 0.9743    | 0.9871         | nan      |
+| 0.0569        | 27.5  | 220  | 0.0428          | 0.9089   | 0.9396        | 0.9851           | nan                | 0.9108          | 0.9879        | 0.8349              | 0.9241               | 0.9883         | 0.9917              | nan           | nan           | 0.8599     | 0.9688   | 0.7822         | 0.8808          | 0.9746    | 0.9872         | nan      |
+| 0.0357        | 30.0  | 240  | 0.0429          | 0.9091   | 0.9403        | 0.9851           | nan                | 0.9095          | 0.9879        | 0.8355              | 0.9287               | 0.9883         | 0.9918              | nan           | nan           | 0.8597     | 0.9688   | 0.7831         | 0.8815          | 0.9746    | 0.9872         | nan      |
+### Framework versions
+- Transformers 4.44.0
+- Pytorch 2.4.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

config.json ADDED Viewed

	@@ -0,0 +1,90 @@

+{
+  "_name_or_path": "sayeed99/segformer-b3-fashion",
+  "architectures": [
+    "SegformerForSemanticSegmentation"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "classifier_dropout_prob": 0.1,
+  "decoder_hidden_size": 768,
+  "depths": [
+    3,
+    4,
+    18,
+    3
+  ],
+  "downsampling_rates": [
+    1,
+    4,
+    8,
+    16
+  ],
+  "drop_path_rate": 0.1,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_sizes": [
+    64,
+    128,
+    320,
+    512
+  ],
+  "id2label": {
+    "0": "unlabeled",
+    "1": "collar",
+    "2": "polo",
+    "3": "lines-cuff",
+    "4": "lines-chest",
+    "5": "human",
+    "6": "background",
+    "7": "tape"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "background": 6,
+    "collar": 1,
+    "human": 5,
+    "lines-chest": 4,
+    "lines-cuff": 3,
+    "polo": 2,
+    "tape": 7,
+    "unlabeled": 0
+  },
+  "layer_norm_eps": 1e-06,
+  "mlp_ratios": [
+    4,
+    4,
+    4,
+    4
+  ],
+  "model_type": "segformer",
+  "num_attention_heads": [
+    1,
+    2,
+    5,
+    8
+  ],
+  "num_channels": 3,
+  "num_encoder_blocks": 4,
+  "patch_sizes": [
+    7,
+    3,
+    3,
+    3
+  ],
+  "reshape_last_stage": true,
+  "semantic_loss_ignore_index": 255,
+  "sr_ratios": [
+    8,
+    4,
+    2,
+    1
+  ],
+  "strides": [
+    4,
+    2,
+    2,
+    2
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.44.0"
+}

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