Upload TFLayoutLMForTokenClassification

README.md

@@ -2,24 +2,24 @@
 tags:
 - generated_from_keras_callback
 model-index:
-- name: Malisha/layoutlm-funsd-tf
+- name: layoutlm-funsd-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. -->
 
-# Malisha/layoutlm-funsd-tf
+# layoutlm-funsd-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: 0.4449
-- Validation Loss: 0.6170
-- Train Overall Precision: 0.6945
-- Train Overall Recall: 0.7802
-- Train Overall F1: 0.7349
-- Train Overall Accuracy: 0.8085
-- Epoch: 4
+- Train Loss: 0.2451
+- Validation Loss: 0.7339
+- Train Overall Precision: 0.7247
+- Train Overall Recall: 0.8058
+- Train Overall F1: 0.7631
+- Train Overall Accuracy: 0.7976
+- Epoch: 7
 
 ## Model description
 
@@ -45,11 +45,14 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Overall Precision | Train Overall Recall | Train Overall F1 | Train Overall Accuracy | Epoch |
 |:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
-| 1.6725     | 1.3823          | 0.2823                  | 0.3377               | 0.3075           | 0.5222                 | 0     |
-| 1.1344     | 0.8639          | 0.5949                  | 0.6984               | 0.6425           | 0.7484                 | 1     |
-| 0.7720     | 0.6980          | 0.6381                  | 0.7582               | 0.6930           | 0.7831                 | 2     |
-| 0.5613     | 0.6252          | 0.6801                  | 0.7712               | 0.7228           | 0.7998                 | 3     |
-| 0.4449     | 0.6170          | 0.6945                  | 0.7802               | 0.7349           | 0.8085                 | 4     |
+| 1.6758     | 1.4035          | 0.2734                  | 0.3191               | 0.2945           | 0.5113                 | 0     |
+| 1.1350     | 0.8802          | 0.5626                  | 0.6538               | 0.6048           | 0.7313                 | 1     |
+| 0.7417     | 0.6927          | 0.6604                  | 0.7602               | 0.7068           | 0.7805                 | 2     |
+| 0.5568     | 0.6715          | 0.7039                  | 0.7501               | 0.7263           | 0.7823                 | 3     |
+| 0.4493     | 0.6464          | 0.7073                  | 0.7782               | 0.7410           | 0.7980                 | 4     |
+| 0.3732     | 0.6112          | 0.7108                  | 0.7858               | 0.7464           | 0.8182                 | 5     |
+| 0.2949     | 0.6429          | 0.7123                  | 0.7988               | 0.7531           | 0.8070                 | 6     |
+| 0.2451     | 0.7339          | 0.7247                  | 0.8058               | 0.7631           | 0.7976                 | 7     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6cde7ec40eb8e6a5f897cbde5f77951c450604ccd8e7cf77f5f725316194c7f5
+oid sha256:1999be8baaf11c4145ebf33e95d313cb55718b534c0856062b8c2f3e3b59bd78
 size 450829320