Training in progress epoch 6

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: 0.4586
-- Validation Loss: 0.6322
-- Train Overall Precision: 0.6909
-- Train Overall Recall: 0.7772
-- Train Overall F1: 0.7315
-- Train Overall Accuracy: 0.7999
-- Epoch: 4
+- Train Loss: 0.2987
+- Validation Loss: 0.6835
+- Train Overall Precision: 0.7270
+- Train Overall Recall: 0.7777
+- Train Overall F1: 0.7515
+- Train Overall Accuracy: 0.8056
+- Epoch: 6
 
 ## Model description
 
@@ -50,6 +50,8 @@ The following hyperparameters were used during training:
 | 0.7521     | 0.7032          | 0.6561                  | 0.7341               | 0.6929           | 0.7687                 | 2     |
 | 0.5727     | 0.6268          | 0.6736                  | 0.7662               | 0.7169           | 0.7957                 | 3     |
 | 0.4586     | 0.6322          | 0.6909                  | 0.7772               | 0.7315           | 0.7999                 | 4     |
+| 0.3725     | 0.6378          | 0.7134                  | 0.7782               | 0.7444           | 0.8096                 | 5     |
+| 0.2987     | 0.6835          | 0.7270                  | 0.7777               | 0.7515           | 0.8056                 | 6     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1666296654.MacBook-Pro-2.local.3533.0.v2

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tf_model.h5

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