Librarian Bot: Add base_model information to model
#4
by
librarian-bot
- opened
README.md
CHANGED
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@@ -6,20 +6,21 @@ datasets:
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- food101
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metrics:
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- accuracy
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model-index:
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- name: swin-finetuned-food101
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results:
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- task:
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name: Image Classification
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type: image-classification
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dataset:
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name: food101
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type: food101
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args: default
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metrics:
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-
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type: accuracy
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value: 0.9210297029702971
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- task:
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type: image-classification
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name: Image Classification
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@@ -29,49 +30,49 @@ model-index:
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config: default
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split: validation
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metrics:
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-
-
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type: accuracy
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value: 0.9135841584158416
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verified: true
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-
-
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-
type: precision
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value: 0.9151645786633058
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verified: true
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-
-
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-
type: precision
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value: 0.9135841584158416
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verified: true
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-
-
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type: precision
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value: 0.915164578663306
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verified: true
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-
-
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-
type: recall
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value: 0.9135841584158414
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verified: true
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-
-
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-
type: recall
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value: 0.9135841584158416
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verified: true
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-
-
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-
type: recall
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value: 0.9135841584158416
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verified: true
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-
-
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type: f1
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value: 0.9138785016966742
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verified: true
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-
-
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type: f1
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value: 0.9135841584158415
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verified: true
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-
-
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type: f1
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value: 0.9138785016966743
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verified: true
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-
-
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type: loss
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value: 0.30761435627937317
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verified: true
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---
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- food101
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metrics:
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- accuracy
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base_model: microsoft/swin-base-patch4-window7-224
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model-index:
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- name: swin-finetuned-food101
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results:
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- task:
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type: image-classification
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+
name: Image Classification
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dataset:
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name: food101
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type: food101
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args: default
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metrics:
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- type: accuracy
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value: 0.9210297029702971
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name: Accuracy
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- task:
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type: image-classification
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name: Image Classification
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config: default
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split: validation
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metrics:
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- type: accuracy
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value: 0.9135841584158416
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name: Accuracy
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verified: true
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+
- type: precision
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value: 0.9151645786633058
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name: Precision Macro
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verified: true
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- type: precision
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value: 0.9135841584158416
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name: Precision Micro
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verified: true
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- type: precision
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value: 0.915164578663306
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name: Precision Weighted
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verified: true
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- type: recall
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value: 0.9135841584158414
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name: Recall Macro
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verified: true
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- type: recall
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value: 0.9135841584158416
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name: Recall Micro
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verified: true
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+
- type: recall
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value: 0.9135841584158416
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name: Recall Weighted
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verified: true
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- type: f1
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value: 0.9138785016966742
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name: F1 Macro
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verified: true
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- type: f1
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value: 0.9135841584158415
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name: F1 Micro
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verified: true
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+
- type: f1
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value: 0.9138785016966743
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+
name: F1 Weighted
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verified: true
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+
- type: loss
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value: 0.30761435627937317
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+
name: loss
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verified: true
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---
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