End of training

README.md

@@ -19,13 +19,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # layoutlmv3-ap5_1
 
-This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on an unknown dataset.
+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: 0.0007
-- Precision: 1.0
-- Recall: 1.0
-- F1: 1.0
-- Accuracy: 1.0
+- Loss: 0.0205
+- Precision: 0.9333
+- Recall: 0.7778
+- F1: 0.8485
+- Accuracy: 0.9948
 
 ## Model description
 
@@ -58,10 +58,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch   | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-------:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.4013        | 10.8696 | 250  | 0.0182          | 0.9444    | 0.8947 | 0.9189 | 0.9968   |
-| 0.0045        | 21.7391 | 500  | 0.0007          | 1.0       | 1.0    | 1.0    | 1.0      |
-| 0.0012        | 32.6087 | 750  | 0.0111          | 0.9444    | 0.8947 | 0.9189 | 0.9968   |
-| 0.0008        | 43.4783 | 1000 | 0.0038          | 0.9444    | 0.8947 | 0.9189 | 0.9968   |
+| 0.2988        | 11.9048 | 250  | 0.0205          | 0.9333    | 0.7778 | 0.8485 | 0.9948   |
+| 0.0029        | 23.8095 | 500  | 0.0275          | 0.8929    | 0.6944 | 0.7812 | 0.9931   |
+| 0.0009        | 35.7143 | 750  | 0.0270          | 0.9       | 0.75   | 0.8182 | 0.9948   |
+| 0.0007        | 47.6190 | 1000 | 0.0347          | 0.8621    | 0.6944 | 0.7692 | 0.9931   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e6a965b4dd4df8085874999224d4efaf9d441a611112097b6c1854bf9e5d914b
+oid sha256:111e1d162948d5c19e03345ac8336b0c66cf39d248079b00f574a1a0022557c6
 size 501358608