Training in progress epoch 6

README.md

@@ -15,13 +15,13 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.0421
-- Validation Loss: 1.1025
-- Train Overall Precision: 0.3771
-- Train Overall Recall: 0.5263
-- Train Overall F1: 0.4394
-- Train Overall Accuracy: 0.6005
-- Epoch: 3
+- Train Loss: 0.7170
+- Validation Loss: 1.1978
+- Train Overall Precision: 0.4534
+- Train Overall Recall: 0.5660
+- Train Overall F1: 0.5035
+- Train Overall Accuracy: 0.6193
+- Epoch: 6
 
 ## Model description
 
@@ -51,6 +51,9 @@ The following hyperparameters were used during training:
 | 1.3215     | 1.2372          | 0.3024                  | 0.4696               | 0.3679           | 0.4742                 | 1     |
 | 1.1454     | 1.2395          | 0.3329                  | 0.4782               | 0.3925           | 0.4779                 | 2     |
 | 1.0421     | 1.1025          | 0.3771                  | 0.5263               | 0.4394           | 0.6005                 | 3     |
+| 0.9349     | 1.1771          | 0.3860                  | 0.5610               | 0.4574           | 0.5416                 | 4     |
+| 0.8505     | 1.0244          | 0.4657                  | 0.5685               | 0.5120           | 0.6265                 | 5     |
+| 0.7170     | 1.1978          | 0.4534                  | 0.5660               | 0.5035           | 0.6193                 | 6     |
 
 
 ### Framework versions

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tf_model.h5

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