Training in progress epoch 2

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: 1.3402
-- Validation Loss: 1.2155
-- Train Overall Precision: 0.2920
-- Train Overall Recall: 0.4566
-- Train Overall F1: 0.3562
-- Train Overall Accuracy: 0.4865
-- Epoch: 1
+- Train Loss: 1.1357
+- Validation Loss: 1.1454
+- Train Overall Precision: 0.3449
+- Train Overall Recall: 0.4952
+- Train Overall F1: 0.4066
+- Train Overall Accuracy: 0.5503
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
 | 1.6900     | 1.4644          | 0.1772                  | 0.1922               | 0.1844           | 0.4144                 | 0     |
 | 1.3402     | 1.2155          | 0.2920                  | 0.4566               | 0.3562           | 0.4865                 | 1     |
+| 1.1357     | 1.1454          | 0.3449                  | 0.4952               | 0.4066           | 0.5503                 | 2     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1708193273.a36882b8c31e.167.0.v2

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logs/validation/events.out.tfevents.1708194253.a36882b8c31e.167.1.v2

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tf_model.h5

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