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: 1.7000
-- Validation Loss: 1.4167
-- Train Overall Precision: 0.2445
-- Train Overall Recall: 0.2107
-- Train Overall F1: 0.2264
-- Train Overall Accuracy: 0.4831
-- Epoch: 0
+- Train Loss: 0.5758
+- Validation Loss: 0.6690
+- Train Overall Precision: 0.6851
+- Train Overall Recall: 0.7476
+- Train Overall F1: 0.7150
+- Train Overall Accuracy: 0.7857
+- 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 |
 |:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
 | 1.7000     | 1.4167          | 0.2445                  | 0.2107               | 0.2264           | 0.4831                 | 0     |
+| 1.1656     | 0.8677          | 0.5749                  | 0.6257               | 0.5992           | 0.7251                 | 1     |
+| 0.7704     | 0.7254          | 0.6356                  | 0.7160               | 0.6734           | 0.7637                 | 2     |
+| 0.5758     | 0.6690          | 0.6851                  | 0.7476               | 0.7150           | 0.7857                 | 3     |
 
 
 ### Framework versions

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