Training in progress epoch 3

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: 1.7553
-- Validation Loss: 1.6258
-- Train Overall Precision: 0.2306
-- Train Overall Recall: 0.1134
-- Train Overall F1: 0.1520
-- Train Overall Accuracy: 0.3303
-- Epoch: 0
+- Train Loss: 1.0651
+- Validation Loss: 1.0411
+- Train Overall Precision: 0.3652
+- Train Overall Recall: 0.5233
+- Train Overall F1: 0.4302
+- Train Overall Accuracy: 0.5949
+- Epoch: 3
 
 ## Model description
 
@@ -48,6 +48,9 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Overall Precision | Train Overall Recall | Train Overall F1 | Train Overall Accuracy | Epoch |
 |:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
 | 1.7553     | 1.6258          | 0.2306                  | 0.1134               | 0.1520           | 0.3303                 | 0     |
+| 1.4401     | 1.3407          | 0.2930                  | 0.4797               | 0.3638           | 0.4365                 | 1     |
+| 1.2104     | 1.2996          | 0.3092                  | 0.4977               | 0.3815           | 0.4740                 | 2     |
+| 1.0651     | 1.0411          | 0.3652                  | 0.5233               | 0.4302           | 0.5949                 | 3     |
 
 
 ### Framework versions

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