End of training

README.md

@@ -10,18 +10,18 @@ metrics:
 - f1
 - accuracy
 model-index:
-- name: layoutlmv3-ap5_3
+- name: layoutlmv3-ap5_5_stitched
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# layoutlmv3-ap5_3
+# layoutlmv3-ap5_5_stitched
 
 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
+- Loss: 0.0011
 - Precision: 1.0
 - Recall: 1.0
 - F1: 1.0
@@ -58,10 +58,10 @@ The following hyperparameters were used during training:
 
 | 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      |
+| 0.4791        | 83.3333  | 250  | 0.0011          | 1.0       | 1.0    | 1.0 | 1.0      |
+| 0.0017        | 166.6667 | 500  | 0.0004          | 1.0       | 1.0    | 1.0 | 1.0      |
+| 0.0008        | 250.0    | 750  | 0.0003          | 1.0       | 1.0    | 1.0 | 1.0      |
+| 0.0007        | 333.3333 | 1000 | 0.0003          | 1.0       | 1.0    | 1.0 | 1.0      |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:dcc9f06e7bafea7721cdedfb366fbce0015ff1d64fe2c1593e763de52b7bfeb0
+oid sha256:d282d589ed10742fea96e3e6052b2b6bc05a70b02d62a5c6e3212d0f929364cd
 size 501355532