update model card README.md

README.md

@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [renjithks/layoutlmv2-cord-ner](https://huggingface.co/renjithks/layoutlmv2-cord-ner) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1710
-- Precision: 0.6987
-- Recall: 0.6968
-- F1: 0.6977
-- Accuracy: 0.9622
+- Loss: 0.1780
+- Precision: 0.7176
+- Recall: 0.6953
+- F1: 0.7063
+- Accuracy: 0.9598
 
 ## Model description
 
@@ -48,22 +48,32 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 10
+- num_epochs: 20
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 22   | 0.2635          | 0.4513    | 0.3724 | 0.4080 | 0.9282   |
-| No log        | 2.0   | 44   | 0.2537          | 0.4459    | 0.4824 | 0.4634 | 0.9327   |
-| No log        | 3.0   | 66   | 0.2027          | 0.6367    | 0.5487 | 0.5894 | 0.9486   |
-| No log        | 4.0   | 88   | 0.1943          | 0.6126    | 0.6446 | 0.6282 | 0.9547   |
-| No log        | 5.0   | 110  | 0.1840          | 0.6644    | 0.6756 | 0.6699 | 0.9559   |
-| No log        | 6.0   | 132  | 0.1719          | 0.6819    | 0.6319 | 0.6559 | 0.9610   |
-| No log        | 7.0   | 154  | 0.1698          | 0.6471    | 0.6827 | 0.6644 | 0.9598   |
-| No log        | 8.0   | 176  | 0.1767          | 0.7022    | 0.6685 | 0.6850 | 0.9604   |
-| No log        | 9.0   | 198  | 0.1661          | 0.6973    | 0.6953 | 0.6963 | 0.9630   |
-| No log        | 10.0  | 220  | 0.1710          | 0.6987    | 0.6968 | 0.6977 | 0.9622   |
+| No log        | 1.0   | 22   | 0.5501          | 0.0       | 0.0    | 0.0    | 0.8801   |
+| No log        | 2.0   | 44   | 0.5444          | 0.0       | 0.0    | 0.0    | 0.8801   |
+| No log        | 3.0   | 66   | 0.5355          | 0.0       | 0.0    | 0.0    | 0.8801   |
+| No log        | 4.0   | 88   | 0.4321          | 0.1621    | 0.1171 | 0.1360 | 0.8671   |
+| No log        | 5.0   | 110  | 0.2968          | 0.5475    | 0.3738 | 0.4443 | 0.9329   |
+| No log        | 6.0   | 132  | 0.2926          | 0.5430    | 0.3117 | 0.3961 | 0.9256   |
+| No log        | 7.0   | 154  | 0.2200          | 0.5812    | 0.5402 | 0.5599 | 0.9452   |
+| No log        | 8.0   | 176  | 0.2156          | 0.6235    | 0.5021 | 0.5563 | 0.9480   |
+| No log        | 9.0   | 198  | 0.2202          | 0.5691    | 0.5924 | 0.5805 | 0.9464   |
+| No log        | 10.0  | 220  | 0.1934          | 0.6299    | 0.6361 | 0.6330 | 0.9537   |
+| No log        | 11.0  | 242  | 0.1860          | 0.6737    | 0.6756 | 0.6746 | 0.9549   |
+| No log        | 12.0  | 264  | 0.1840          | 0.7007    | 0.6770 | 0.6887 | 0.9596   |
+| No log        | 13.0  | 286  | 0.1925          | 0.6709    | 0.6756 | 0.6732 | 0.9579   |
+| No log        | 14.0  | 308  | 0.1763          | 0.7267    | 0.6939 | 0.7100 | 0.9604   |
+| No log        | 15.0  | 330  | 0.1850          | 0.7134    | 0.6671 | 0.6895 | 0.9577   |
+| No log        | 16.0  | 352  | 0.1771          | 0.6936    | 0.6897 | 0.6917 | 0.9587   |
+| No log        | 17.0  | 374  | 0.1767          | 0.7044    | 0.7024 | 0.7034 | 0.9592   |
+| No log        | 18.0  | 396  | 0.1739          | 0.7348    | 0.6996 | 0.7168 | 0.9610   |
+| No log        | 19.0  | 418  | 0.1778          | 0.7224    | 0.7010 | 0.7115 | 0.9600   |
+| No log        | 20.0  | 440  | 0.1780          | 0.7176    | 0.6953 | 0.7063 | 0.9598   |
 
 
 ### Framework versions