End of training

README.md

@@ -5,9 +5,36 @@ tags:
 - generated_from_trainer
 datasets:
 - generated
+metrics:
+- precision
+- recall
+- f1
+- accuracy
 model-index:
 - name: layoutlmv3-finetuned-invoice
-  results: []
+  results:
+  - task:
+      name: Token Classification
+      type: token-classification
+    dataset:
+      name: generated
+      type: generated
+      config: sroie
+      split: test
+      args: sroie
+    metrics:
+    - name: Precision
+      type: precision
+      value: 0.9698795180722891
+    - name: Recall
+      type: recall
+      value: 0.9797160243407708
+    - name: F1
+      type: f1
+      value: 0.9747729566094854
+    - name: Accuracy
+      type: accuracy
+      value: 0.9964187908152518
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -17,15 +44,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the generated dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 2.6166
-- eval_precision: 0.0108
-- eval_recall: 0.1034
-- eval_f1: 0.0195
-- eval_accuracy: 0.0116
-- eval_runtime: 31.3704
-- eval_samples_per_second: 1.594
-- eval_steps_per_second: 1.594
-- step: 0
+- Loss: 0.0826
+- Precision: 0.9699
+- Recall: 0.9797
+- F1: 0.9748
+- Accuracy: 0.9964
 
 ## Model description
 
@@ -50,7 +73,15 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- training_steps: 2000
+- training_steps: 200
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 100  | 0.1528          | 0.9478    | 0.9574 | 0.9526 | 0.9941   |
+| No log        | 2.0   | 200  | 0.0826          | 0.9699    | 0.9797 | 0.9748 | 0.9964   |
+
 
 ### Framework versions
 

pytorch_model.bin

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 size 503782186

training_args.bin

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