End of training

README.md

@@ -3,6 +3,8 @@ license: cc-by-nc-sa-4.0
 base_model: microsoft/layoutlmv3-large
 tags:
 - generated_from_trainer
+datasets:
+- openfoodfacts/nutrient-detection-layout
 metrics:
 - precision
 - recall
@@ -10,7 +12,26 @@ metrics:
 - accuracy
 model-index:
 - name: nutrition-extractor
-  results: []
+  results:
+  - task:
+      name: Token Classification
+      type: token-classification
+    dataset:
+      name: openfoodfacts/nutrient-detection-layout
+      type: openfoodfacts/nutrient-detection-layout
+    metrics:
+    - name: Precision
+      type: precision
+      value: 0.9545036764705882
+    - name: Recall
+      type: recall
+      value: 0.9647004180213655
+    - name: F1
+      type: f1
+      value: 0.9595749595749595
+    - name: Accuracy
+      type: accuracy
+      value: 0.9916725247390905
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -18,13 +39,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # nutrition-extractor
 
-This model is a fine-tuned version of [microsoft/layoutlmv3-large](https://huggingface.co/microsoft/layoutlmv3-large) on an unknown dataset.
+This model is a fine-tuned version of [microsoft/layoutlmv3-large](https://huggingface.co/microsoft/layoutlmv3-large) on the openfoodfacts/nutrient-detection-layout dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0532
-- Precision: 0.9536
-- Recall: 0.9633
-- F1: 0.9584
-- Accuracy: 0.9916
+- Loss: 0.0534
+- Precision: 0.9545
+- Recall: 0.9647
+- F1: 0.9596
+- Accuracy: 0.9917
 
 ## Model description
 

all_results.json

@@ -0,0 +1,18 @@
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+    "eval_recall": 0.9647004180213655,
+    "eval_runtime": 35.69,
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+    "eval_samples_per_second": 5.576,
+    "eval_steps_per_second": 1.401,
+    "total_flos": 8.9780255686656e+16,
+    "train_loss": 0.0764370101193587,
+    "train_runtime": 55223.9534,
+    "train_samples": 2884,
+    "train_samples_per_second": 1.738,
+    "train_steps_per_second": 0.054
+}

eval_results.json

@@ -1,136 +1,12 @@
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 }

runs/Dec23_15-55-22_gpu-l4-20241223-150914/events.out.tfevents.1735024666.gpu-l4-20241223-150914

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+oid sha256:92f8fb891db26463847d4c761cfd979527a099f9c5efa9c9e583ea053c3704cc
+size 141

train_results.json

@@ -0,0 +1,9 @@
+{
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+    "train_loss": 0.0764370101193587,
+    "train_runtime": 55223.9534,
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+    "train_samples_per_second": 1.738,
+    "train_steps_per_second": 0.054
+}