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: 1.1645
-- Validation Loss: 1.1716
-- Train Overall Precision: 0.3927
-- Train Overall Recall: 0.5354
-- Train Overall F1: 0.4531
-- Train Overall Accuracy: 0.5035
-- Epoch: 2
+- Train Loss: 1.0247
+- Validation Loss: 1.0744
+- Train Overall Precision: 0.3762
+- Train Overall Recall: 0.5329
+- Train Overall F1: 0.4410
+- Train Overall Accuracy: 0.5759
+- Epoch: 3
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 | 1.6755     | 1.4053          | 0.1523                  | 0.2730               | 0.1955           | 0.4103                 | 0     |
 | 1.3298     | 1.2494          | 0.2860                  | 0.4551               | 0.3513           | 0.4989                 | 1     |
 | 1.1645     | 1.1716          | 0.3927                  | 0.5354               | 0.4531           | 0.5035                 | 2     |
+| 1.0247     | 1.0744          | 0.3762                  | 0.5329               | 0.4410           | 0.5759                 | 3     |
 
 
 ### Framework versions

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