End of training

README.md

@@ -3,6 +3,11 @@ license: cc-by-nc-sa-4.0
 base_model: microsoft/layoutlmv3-base
 tags:
 - generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
 model-index:
 - name: test
   results: []
@@ -14,6 +19,12 @@ should probably proofread and complete it, then remove this comment. -->
 # test
 
 This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0
+- Precision: 1.0
+- Recall: 1.0
+- F1: 1.0
+- Accuracy: 1.0
 
 ## Model description
 
@@ -38,13 +49,15 @@ 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: 50
+- training_steps: 60
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
-| No log        | 3.85  | 50   | 0.0             | 1.0       | 1.0    | 1.0 | 1.0      |
+| No log        | 1.54  | 20   | 0.0             | 1.0       | 1.0    | 1.0 | 1.0      |
+| No log        | 3.08  | 40   | 0.0             | 1.0       | 1.0    | 1.0 | 1.0      |
+| No log        | 4.62  | 60   | 0.0             | 1.0       | 1.0    | 1.0 | 1.0      |
 
 
 ### Framework versions

model.safetensors

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training_args.bin

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