Upload TFLayoutLMForTokenClassification

README.md

@@ -4,24 +4,24 @@ base_model: microsoft/layoutlm-base-uncased
 tags:
 - generated_from_keras_callback
 model-index:
-- name: cor-c/layoutlm-cord-tf
+- name: layoutlm-cord-tf
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information Keras had access to. You should
 probably proofread and complete it, then remove this comment. -->
 
-# cor-c/layoutlm-cord-tf
+# layoutlm-cord-tf
 
 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: 0.0628
-- Validation Loss: 0.1726
-- Train Overall Precision: 0.9410
-- Train Overall Recall: 0.9467
-- Train Overall F1: 0.9439
-- Train Overall Accuracy: 0.9618
-- Epoch: 6
+- Train Loss: 0.0418
+- Validation Loss: 0.1882
+- Train Overall Precision: 0.9468
+- Train Overall Recall: 0.9490
+- Train Overall F1: 0.9479
+- Train Overall Accuracy: 0.9652
+- Epoch: 7
 
 ## Model description
 
@@ -54,6 +54,7 @@ The following hyperparameters were used during training:
 | 0.0915     | 0.1956          | 0.9390                  | 0.9482               | 0.9436           | 0.9571                 | 4     |
 | 0.0810     | 0.2157          | 0.9392                  | 0.9399               | 0.9395           | 0.9559                 | 5     |
 | 0.0628     | 0.1726          | 0.9410                  | 0.9467               | 0.9439           | 0.9618                 | 6     |
+| 0.0418     | 0.1882          | 0.9468                  | 0.9490               | 0.9479           | 0.9652                 | 7     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5d329b50b297d77e423730ef5545339a52fd53d29e15a2749e80a143b82d39ad
+oid sha256:08a2c635b84424de0ef5685391e6bb44cbfd39024c16ccfa206ddbc08ff121a5
 size 450878408