Training in progress epoch 3

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: 0.7169
-- Validation Loss: 0.6666
-- Train Overall Precision: 0.6778
-- Train Overall Recall: 0.7441
-- Train Overall F1: 0.7094
-- Train Overall Accuracy: 0.7864
-- Epoch: 2
+- Train Loss: 0.5285
+- Validation Loss: 0.6429
+- Train Overall Precision: 0.6859
+- Train Overall Recall: 0.7702
+- Train Overall F1: 0.7256
+- Train Overall Accuracy: 0.8022
+- Epoch: 3
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 | 1.6546     | 1.3264          | 0.3384                  | 0.3708               | 0.3538           | 0.5774                 | 0     |
 | 1.0901     | 0.8303          | 0.6013                  | 0.6508               | 0.6251           | 0.7392                 | 1     |
 | 0.7169     | 0.6666          | 0.6778                  | 0.7441               | 0.7094           | 0.7864                 | 2     |
+| 0.5285     | 0.6429          | 0.6859                  | 0.7702               | 0.7256           | 0.8022                 | 3     |
 
 
 ### Framework versions

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tf_model.h5

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