Training in progress epoch 3

README.md

@@ -13,13 +13,13 @@ 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: 0.7720
-- Validation Loss: 0.6980
-- Train Overall Precision: 0.6381
-- Train Overall Recall: 0.7582
-- Train Overall F1: 0.6930
-- Train Overall Accuracy: 0.7831
-- Epoch: 2
+- Train Loss: 0.5613
+- Validation Loss: 0.6252
+- Train Overall Precision: 0.6801
+- Train Overall Recall: 0.7712
+- Train Overall F1: 0.7228
+- Train Overall Accuracy: 0.7998
+- Epoch: 3
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 | 1.6725     | 1.3823          | 0.2823                  | 0.3377               | 0.3075           | 0.5222                 | 0     |
 | 1.1344     | 0.8639          | 0.5949                  | 0.6984               | 0.6425           | 0.7484                 | 1     |
 | 0.7720     | 0.6980          | 0.6381                  | 0.7582               | 0.6930           | 0.7831                 | 2     |
+| 0.5613     | 0.6252          | 0.6801                  | 0.7712               | 0.7228           | 0.7998                 | 3     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1675003908.c077b39576f7.22308.0.v2

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logs/validation/events.out.tfevents.1675004863.c077b39576f7.22308.1.v2

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tf_model.h5

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