End of training

README.md

@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/layoutlm-base-uncased](https://huggingface.co/microsoft/layoutlm-base-uncased) on the funsd dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0181
+- Loss: 0.9828
 - Question: {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 1}
 - Overall Precision: 1.0
 - Overall Recall: 1.0
@@ -53,11 +53,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Question                                                  | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------------------------------------------------------:|:-----------------:|:--------------:|:----------:|:----------------:|
-| 1.5727        | 1.0   | 38   | 1.3239          | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 1} | 1.0               | 1.0            | 1.0        | 1.0              |
-| 1.2226        | 2.0   | 76   | 1.1324          | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 1} | 1.0               | 1.0            | 1.0        | 1.0              |
-| 1.0835        | 3.0   | 114  | 1.2424          | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 1} | 1.0               | 1.0            | 1.0        | 1.0              |
-| 1.0019        | 4.0   | 152  | 1.0564          | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 1} | 1.0               | 1.0            | 1.0        | 1.0              |
-| 0.9077        | 5.0   | 190  | 1.0181          | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 1} | 1.0               | 1.0            | 1.0        | 1.0              |
+| 1.585         | 1.0   | 38   | 1.3020          | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 1} | 1.0               | 1.0            | 1.0        | 1.0              |
+| 1.1814        | 2.0   | 76   | 1.1133          | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 1} | 1.0               | 1.0            | 1.0        | 1.0              |
+| 1.0181        | 3.0   | 114  | 1.0476          | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 1} | 1.0               | 1.0            | 1.0        | 1.0              |
+| 0.9213        | 4.0   | 152  | 1.0004          | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 1} | 1.0               | 1.0            | 1.0        | 1.0              |
+| 0.8337        | 5.0   | 190  | 0.9828          | {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 1} | 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:cd6754776090f87928b18226221879cb9608e23e05a7d510bf4f85dad1c6a313
+oid sha256:3a8eefb4e16e03ed00105ed72ed8a1ca4ef7bc24d3eaadbbde0c2806ddce2f3b
 size 450558212