Training in progress epoch 2

README.md

@@ -14,13 +14,13 @@ 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: 1.7332
-- Validation Loss: 1.4190
-- Train Overall Precision: 0.2417
-- Train Overall Recall: 0.2669
-- Train Overall F1: 0.2537
-- Train Overall Accuracy: 0.5168
-- Epoch: 0
+- Train Loss: 0.7973
+- Validation Loss: 0.7664
+- Train Overall Precision: 0.6409
+- Train Overall Recall: 0.6869
+- Train Overall F1: 0.6631
+- Train Overall Accuracy: 0.7499
+- Epoch: 2
 
 ## Model description
 
@@ -47,6 +47,8 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Overall Precision | Train Overall Recall | Train Overall F1 | Train Overall Accuracy | Epoch |
 |:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
 | 1.7332     | 1.4190          | 0.2417                  | 0.2669               | 0.2537           | 0.5168                 | 0     |
+| 1.1874     | 0.9479          | 0.5511                  | 0.5524               | 0.5517           | 0.7008                 | 1     |
+| 0.7973     | 0.7664          | 0.6409                  | 0.6869               | 0.6631           | 0.7499                 | 2     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1701081225.d7d8712cf693.2113.0.v2

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logs/validation/events.out.tfevents.1701081259.d7d8712cf693.2113.1.v2

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tf_model.h5

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