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: 0.3759
-- Validation Loss: 0.6366
-- Train Overall Precision: 0.7203
-- Train Overall Recall: 0.7933
-- Train Overall F1: 0.7550
-- Train Overall Accuracy: 0.8077
-- Epoch: 5
+- Train Loss: 0.3043
+- Validation Loss: 0.7168
+- Train Overall Precision: 0.6989
+- Train Overall Recall: 0.7953
+- Train Overall F1: 0.7440
+- Train Overall Accuracy: 0.7937
+- Epoch: 6
 
 ## Model description
 
@@ -51,6 +51,7 @@ The following hyperparameters were used during training:
 | 0.6119     | 0.6724          | 0.6667                  | 0.7697               | 0.7145           | 0.7902                 | 3     |
 | 0.4706     | 0.6231          | 0.6905                  | 0.7883               | 0.7362           | 0.8068                 | 4     |
 | 0.3759     | 0.6366          | 0.7203                  | 0.7933               | 0.7550           | 0.8077                 | 5     |
+| 0.3043     | 0.7168          | 0.6989                  | 0.7953               | 0.7440           | 0.7937                 | 6     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1683042571.8d28e679fcbb.22686.0.v2

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tf_model.h5

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