Training in progress epoch 1

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: 1.7347
-- Validation Loss: 1.4126
-- Train Overall Precision: 0.2336
-- Train Overall Recall: 0.2358
-- Train Overall F1: 0.2347
-- Train Overall Accuracy: 0.5037
-- Epoch: 0
+- Train Loss: 1.1975
+- Validation Loss: 0.8970
+- Train Overall Precision: 0.5712
+- Train Overall Recall: 0.6503
+- Train Overall F1: 0.6082
+- Train Overall Accuracy: 0.7056
+- Epoch: 1
 
 ## Model description
 
@@ -46,6 +46,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Overall Precision | Train Overall Recall | Train Overall F1 | Train Overall Accuracy | Epoch |
 |:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
 | 1.7347     | 1.4126          | 0.2336                  | 0.2358               | 0.2347           | 0.5037                 | 0     |
+| 1.1975     | 0.8970          | 0.5712                  | 0.6503               | 0.6082           | 0.7056                 | 1     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1683138014.lisbon.1324913.0.v2

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logs/validation/events.out.tfevents.1683138257.lisbon.1324913.1.v2

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tf_model.h5

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