End of training

README.md

@@ -4,7 +4,7 @@ base_model: microsoft/layoutlmv3-base
 tags:
 - generated_from_trainer
 datasets:
-- violations_dataset
+- violations
 metrics:
 - precision
 - recall
@@ -17,8 +17,8 @@ model-index:
       name: Token Classification
       type: token-classification
     dataset:
-      name: violations_dataset
-      type: violations_dataset
+      name: violations
+      type: violations
       config: ViolationsExtraction
       split: test
       args: ViolationsExtraction
@@ -42,9 +42,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # layoutlmv3-violations-test
 
-This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the violations_dataset dataset.
+This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the violations dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3979
+- Loss: 0.3685
 - Precision: 0.9483
 - Recall: 0.9116
 - F1: 0.9296

all_results.json

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+}

eval_results.json

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+}

train_results.json

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+}

trainer_state.json

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