Training in progress epoch 26

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: 0.1538
-- Validation Loss: 1.4257
-- Train Overall Precision: 0.5310
+- Train Loss: 0.1403
+- Validation Loss: 1.5233
+- Train Overall Precision: 0.5232
 - Train Overall Recall: 0.6061
-- Train Overall F1: 0.5661
-- Train Overall Accuracy: 0.6484
-- Epoch: 25
+- Train Overall F1: 0.5616
+- Train Overall Accuracy: 0.6428
+- Epoch: 26
 
 ## Model description
 
@@ -73,6 +73,7 @@ The following hyperparameters were used during training:
 | 0.1698     | 1.4538          | 0.5428                  | 0.6011               | 0.5705           | 0.6423                 | 23    |
 | 0.1606     | 1.4318          | 0.5131                  | 0.5720               | 0.5409           | 0.6361                 | 24    |
 | 0.1538     | 1.4257          | 0.5310                  | 0.6061               | 0.5661           | 0.6484                 | 25    |
+| 0.1403     | 1.5233          | 0.5232                  | 0.6061               | 0.5616           | 0.6428                 | 26    |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1708326890.c65eaeed6165.295.0.v2

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tf_model.h5

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