End of training

README.md

@@ -3,6 +3,9 @@ library_name: transformers
 license: other
 base_model: facebook/mask2former-swin-tiny-coco-instance
 tags:
+- image-segmentation
+- instance-segmentation
+- vision
 - generated_from_trainer
 model-index:
 - name: finetune-instance-segmentation-mini-mask2former_augmentation_default
@@ -14,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # finetune-instance-segmentation-mini-mask2former_augmentation_default
 
-This model is a fine-tuned version of [facebook/mask2former-swin-tiny-coco-instance](https://huggingface.co/facebook/mask2former-swin-tiny-coco-instance) on an unknown dataset.
+This model is a fine-tuned version of [facebook/mask2former-swin-tiny-coco-instance](https://huggingface.co/facebook/mask2former-swin-tiny-coco-instance) on the jsalavedra/strawberry_disease dataset.
 It achieves the following results on the evaluation set:
 - Loss: 16.2566
 - Map: 0.6229

all_results.json

@@ -0,0 +1,38 @@
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+    "test_map_Blossom Blight": 0.7372,
+    "test_map_Gray Mold": 0.5767,
+    "test_map_Leaf Spot": 0.8783,
+    "test_map_Powdery Mildew Fruit": 0.5019,
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+    "test_map_large": 0.7146,
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+    "test_mar_100_Gray Mold": 0.7648,
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+    "test_mar_100_Powdery Mildew Fruit": 0.8833,
+    "test_mar_100_Powdery Mildew Leaf": 0.8863,
+    "test_mar_large": 0.8802,
+    "test_mar_medium": 0.7108,
+    "test_mar_small": 0.5,
+    "test_runtime": 110.5758,
+    "test_samples_per_second": 2.776,
+    "test_steps_per_second": 0.353,
+    "total_flos": 2.480418157142016e+18,
+    "train_loss": 22.080768023480427,
+    "train_runtime": 2477.079,
+    "train_samples_per_second": 5.854,
+    "train_steps_per_second": 0.367
+}

runs/Mar16_20-28-22_dcc3090/events.out.tfevents.1742155914.dcc3090.3536659.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:89a253b2e0e53031d50c878f54dfeda5ffa8f0707c3fa45effebef0c76028952
+size 1892

test_results.json

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+    "test_map_50": 0.8172,
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+    "test_map_Gray Mold": 0.5767,
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+    "test_mar_small": 0.5,
+    "test_runtime": 110.5758,
+    "test_samples_per_second": 2.776,
+    "test_steps_per_second": 0.353
+}

train_results.json

@@ -0,0 +1,8 @@
+{
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+    "total_flos": 2.480418157142016e+18,
+    "train_loss": 22.080768023480427,
+    "train_runtime": 2477.079,
+    "train_samples_per_second": 5.854,
+    "train_steps_per_second": 0.367
+}

trainer_state.json

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