End of training

README.md

@@ -21,11 +21,11 @@ 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 None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0015
-- Precision: 1.0
-- Recall: 1.0
-- F1: 1.0
-- Accuracy: 1.0
+- Loss: 0.7181
+- Precision: 0.875
+- Recall: 0.7778
+- F1: 0.8235
+- Accuracy: 0.8889
 
 ## Model description
 
@@ -56,12 +56,12 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch    | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
-|:-------------:|:--------:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
-| 0.4809        | 83.3333  | 250  | 0.0015          | 1.0       | 1.0    | 1.0 | 1.0      |
-| 0.0027        | 166.6667 | 500  | 0.0006          | 1.0       | 1.0    | 1.0 | 1.0      |
-| 0.0009        | 250.0    | 750  | 0.0004          | 1.0       | 1.0    | 1.0 | 1.0      |
-| 0.0008        | 333.3333 | 1000 | 0.0004          | 1.0       | 1.0    | 1.0 | 1.0      |
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.4938        | 62.5  | 250  | 0.7181          | 0.875     | 0.7778 | 0.8235 | 0.8889   |
+| 0.0015        | 125.0 | 500  | 0.8105          | 0.875     | 0.7778 | 0.8235 | 0.8889   |
+| 0.0009        | 187.5 | 750  | 0.8680          | 0.875     | 0.7778 | 0.8235 | 0.8889   |
+| 0.0007        | 250.0 | 1000 | 0.8754          | 0.875     | 0.7778 | 0.8235 | 0.8889   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:bea7bd5d56fd54fd198564af555c3e184f4ce50af2d877bd81c10ed52bf00cfa
 size 501355532