Training in progress epoch 7

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: 0.3043
-- 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
+- Train Loss: 0.2920
+- Validation Loss: 0.6882
+- Train Overall Precision: 0.7061
+- Train Overall Recall: 0.7943
+- Train Overall F1: 0.7476
+- Train Overall Accuracy: 0.7966
+- Epoch: 7
 
 ## Model description
 
@@ -52,6 +52,7 @@ The following hyperparameters were used during training:
 | 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     |
+| 0.2920     | 0.6882          | 0.7061                  | 0.7943               | 0.7476           | 0.7966                 | 7     |
 
 
 ### Framework versions

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

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tf_model.h5

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