End of training
Browse files- README.md +4 -1
- all_results.json +38 -0
- runs/Mar16_21-33-38_dcc3090/events.out.tfevents.1742159908.dcc3090.3649324.1 +3 -0
- test_results.json +33 -0
- train_results.json +8 -0
- trainer_state.json +453 -0
README.md
CHANGED
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@@ -3,6 +3,9 @@ library_name: transformers
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license: other
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base_model: facebook/mask2former-swin-tiny-coco-instance
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tags:
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- generated_from_trainer
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model-index:
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- name: finetune-instance-segmentation-mini-mask2former_augmentation_default_backboneFrozen
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@@ -14,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
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# finetune-instance-segmentation-mini-mask2former_augmentation_default_backboneFrozen
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-
This model is a fine-tuned version of [facebook/mask2former-swin-tiny-coco-instance](https://huggingface.co/facebook/mask2former-swin-tiny-coco-instance) on
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It achieves the following results on the evaluation set:
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- Loss: 19.5597
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- Map: 0.4279
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license: other
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base_model: facebook/mask2former-swin-tiny-coco-instance
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tags:
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+
- image-segmentation
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+
- instance-segmentation
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+
- vision
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- generated_from_trainer
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model-index:
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- name: finetune-instance-segmentation-mini-mask2former_augmentation_default_backboneFrozen
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# finetune-instance-segmentation-mini-mask2former_augmentation_default_backboneFrozen
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+
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.
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It achieves the following results on the evaluation set:
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- Loss: 19.5597
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- Map: 0.4279
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all_results.json
ADDED
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@@ -0,0 +1,38 @@
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+
{
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"epoch": 10.0,
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+
"test_loss": 19.58067512512207,
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+
"test_map": 0.4279,
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| 5 |
+
"test_map_50": 0.592,
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+
"test_map_75": 0.476,
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| 7 |
+
"test_map_Angular Leafspot": 0.162,
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+
"test_map_Anthracnose Fruit Rot": 0.1562,
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+
"test_map_Blossom Blight": 0.6367,
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| 10 |
+
"test_map_Gray Mold": 0.4846,
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| 11 |
+
"test_map_Leaf Spot": 0.7665,
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+
"test_map_Powdery Mildew Fruit": 0.1744,
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| 13 |
+
"test_map_Powdery Mildew Leaf": 0.6152,
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+
"test_map_large": 0.4955,
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| 15 |
+
"test_map_medium": 0.2838,
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+
"test_map_small": 0.3002,
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| 17 |
+
"test_mar_1": 0.3752,
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+
"test_mar_10": 0.7188,
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| 19 |
+
"test_mar_100": 0.7682,
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| 20 |
+
"test_mar_100_Angular Leafspot": 0.7154,
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| 21 |
+
"test_mar_100_Anthracnose Fruit Rot": 0.6118,
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| 22 |
+
"test_mar_100_Blossom Blight": 0.7455,
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"test_mar_100_Gray Mold": 0.7259,
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"test_mar_100_Leaf Spot": 0.9253,
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"test_mar_100_Powdery Mildew Fruit": 0.8056,
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"test_mar_100_Powdery Mildew Leaf": 0.8478,
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"test_mar_large": 0.8285,
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"test_mar_medium": 0.5977,
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"test_mar_small": 0.45,
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"test_runtime": 133.5566,
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"test_samples_per_second": 2.299,
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"test_steps_per_second": 0.292,
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"total_flos": 2.480418157142016e+18,
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+
"train_loss": 26.135735748626374,
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"train_runtime": 2536.3615,
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+
"train_samples_per_second": 5.717,
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"train_steps_per_second": 0.359
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+
}
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runs/Mar16_21-33-38_dcc3090/events.out.tfevents.1742159908.dcc3090.3649324.1
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:97c0204bdc4c98d0e4ca2a133d487d4c6bc07957282e8efd169597afaaee3e48
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+
size 1892
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test_results.json
ADDED
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@@ -0,0 +1,33 @@
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{
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"epoch": 10.0,
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+
"test_loss": 19.58067512512207,
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| 4 |
+
"test_map": 0.4279,
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| 5 |
+
"test_map_50": 0.592,
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| 6 |
+
"test_map_75": 0.476,
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| 7 |
+
"test_map_Angular Leafspot": 0.162,
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| 8 |
+
"test_map_Anthracnose Fruit Rot": 0.1562,
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| 9 |
+
"test_map_Blossom Blight": 0.6367,
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"test_map_Gray Mold": 0.4846,
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| 11 |
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"test_map_Leaf Spot": 0.7665,
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| 12 |
+
"test_map_Powdery Mildew Fruit": 0.1744,
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| 13 |
+
"test_map_Powdery Mildew Leaf": 0.6152,
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| 14 |
+
"test_map_large": 0.4955,
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| 15 |
+
"test_map_medium": 0.2838,
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"test_map_small": 0.3002,
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| 17 |
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"test_mar_1": 0.3752,
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"test_mar_10": 0.7188,
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"test_mar_100": 0.7682,
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| 20 |
+
"test_mar_100_Angular Leafspot": 0.7154,
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| 21 |
+
"test_mar_100_Anthracnose Fruit Rot": 0.6118,
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| 22 |
+
"test_mar_100_Blossom Blight": 0.7455,
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| 23 |
+
"test_mar_100_Gray Mold": 0.7259,
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| 24 |
+
"test_mar_100_Leaf Spot": 0.9253,
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| 25 |
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"test_mar_100_Powdery Mildew Fruit": 0.8056,
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| 26 |
+
"test_mar_100_Powdery Mildew Leaf": 0.8478,
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| 27 |
+
"test_mar_large": 0.8285,
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| 28 |
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"test_mar_medium": 0.5977,
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| 29 |
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"test_mar_small": 0.45,
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"test_runtime": 133.5566,
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| 31 |
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"test_samples_per_second": 2.299,
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"test_steps_per_second": 0.292
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}
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train_results.json
ADDED
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@@ -0,0 +1,8 @@
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{
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"epoch": 10.0,
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+
"total_flos": 2.480418157142016e+18,
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+
"train_loss": 26.135735748626374,
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+
"train_runtime": 2536.3615,
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+
"train_samples_per_second": 5.717,
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"train_steps_per_second": 0.359
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}
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trainer_state.json
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{
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| 2 |
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"best_global_step": null,
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| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 10.0,
|
| 6 |
+
"eval_steps": 500,
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