DamarJati
/

GreenLabel-Waste-Types

Image Classification

Generated from Trainer

Inference Endpoints

Model card Files Files and versions Community

DamarJati commited on Sep 30, 2023

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@@ -4,7 +4,7 @@ base_model: microsoft/swin-tiny-patch4-window7-224
 tags:
 - generated_from_trainer
 datasets:
-- imagefolder
 metrics:
 - accuracy
 model-index:
@@ -22,14 +22,12 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 1.0
 ---
 <!-- 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. -->
-# swin-tiny-patch4-window7-224-finetuned-eurosat
 This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.0150
@@ -80,4 +78,4 @@ The following hyperparameters were used during training:
 - Transformers 4.33.3
 - Pytorch 2.0.1+cu118
 - Datasets 2.14.5
-- Tokenizers 0.13.3

 tags:
 - generated_from_trainer
 datasets:
+- DamarJati/GreenLabel-Waste-Types
 metrics:
 - accuracy
 model-index:
     metrics:
     - name: Accuracy
       type: accuracy
+      value: 1
 ---
 <!-- 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. -->
 This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.0150
 - Transformers 4.33.3
 - Pytorch 2.0.1+cu118
 - Datasets 2.14.5
+- Tokenizers 0.13.3