Upload TFLayoutLMForTokenClassification

README.md

@@ -4,24 +4,24 @@ base_model: microsoft/layoutlm-base-uncased
 tags:
 - generated_from_keras_callback
 model-index:
-- name: stevethecur/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. -->
 
-# stevethecur/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: 0.7200
-- Validation Loss: 0.9883
-- Train Overall Precision: 0.4845
-- Train Overall Recall: 0.5720
-- Train Overall F1: 0.5246
-- Train Overall Accuracy: 0.6381
-- Epoch: 6
+- Train Loss: 0.5847
+- Validation Loss: 1.1733
+- Train Overall Precision: 0.4918
+- Train Overall Recall: 0.6026
+- Train Overall F1: 0.5416
+- Train Overall Accuracy: 0.6392
+- Epoch: 7
 
 ## Model description
 
@@ -54,6 +54,7 @@ The following hyperparameters were used during training:
 | 0.9605     | 0.9755          | 0.4209                  | 0.5329               | 0.4703           | 0.6064                 | 4     |
 | 0.8846     | 1.0042          | 0.4473                  | 0.5620               | 0.4981           | 0.6270                 | 5     |
 | 0.7200     | 0.9883          | 0.4845                  | 0.5720               | 0.5246           | 0.6381                 | 6     |
+| 0.5847     | 1.1733          | 0.4918                  | 0.6026               | 0.5416           | 0.6392                 | 7     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8a2e3def5d159440e7957fb5662c1ff97f042d3ed0fca9b5b89159f18a347332
+oid sha256:cb17e7bbc1ddb91b0c4a2b756c57d6b59cf68a1bc75bb37b4ef64e004c28324b
 size 450829256