Training in progress epoch 7

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: 0.3015
-- Validation Loss: 0.6499
-- Train Overall Precision: 0.7338
-- Train Overall Recall: 0.8008
-- Train Overall F1: 0.7658
-- Train Overall Accuracy: 0.8081
-- Epoch: 6
+- Train Loss: 0.2432
+- Validation Loss: 0.6612
+- Train Overall Precision: 0.7578
+- Train Overall Recall: 0.8068
+- Train Overall F1: 0.7815
+- Train Overall Accuracy: 0.8138
+- Epoch: 7
 
 ## Model description
 
@@ -54,6 +54,7 @@ The following hyperparameters were used during training:
 | 0.4557     | 0.6419          | 0.7102                  | 0.7918               | 0.7488           | 0.8010                 | 4     |
 | 0.3524     | 0.6118          | 0.7285                  | 0.8023               | 0.7636           | 0.8163                 | 5     |
 | 0.3015     | 0.6499          | 0.7338                  | 0.8008               | 0.7658           | 0.8081                 | 6     |
+| 0.2432     | 0.6612          | 0.7578                  | 0.8068               | 0.7815           | 0.8138                 | 7     |
 
 
 ### Framework versions

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