Training in progress epoch 3

README.md

@@ -14,13 +14,13 @@ 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: 0.7533
-- Validation Loss: 0.7316
-- Train Overall Precision: 0.6481
-- Train Overall Recall: 0.7200
-- Train Overall F1: 0.6822
-- Train Overall Accuracy: 0.7642
-- Epoch: 2
+- Train Loss: 0.5825
+- Validation Loss: 0.6844
+- Train Overall Precision: 0.6840
+- Train Overall Recall: 0.7592
+- Train Overall F1: 0.7196
+- Train Overall Accuracy: 0.7896
+- Epoch: 3
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 | 1.6990     | 1.3937          | 0.2342                  | 0.2454               | 0.2396           | 0.5233                 | 0     |
 | 1.1531     | 0.8728          | 0.5680                  | 0.6327               | 0.5986           | 0.7422                 | 1     |
 | 0.7533     | 0.7316          | 0.6481                  | 0.7200               | 0.6822           | 0.7642                 | 2     |
+| 0.5825     | 0.6844          | 0.6840                  | 0.7592               | 0.7196           | 0.7896                 | 3     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1697654523.4d857969e3ee.505.0.v2

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tf_model.h5

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