Upload TFLayoutLMForTokenClassification

README.md

@@ -4,24 +4,24 @@ base_model: microsoft/layoutlm-base-uncased
 tags:
 - generated_from_keras_callback
 model-index:
-- name: Matt6450/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. -->
 
-# Matt6450/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: 0.0288
-- Validation Loss: 0.9539
-- Train Overall Precision: 0.7396
-- Train Overall Recall: 0.7993
-- Train Overall F1: 0.7683
-- Train Overall Accuracy: 0.8033
-- Epoch: 30
+- Train Loss: 0.0262
+- Validation Loss: 0.9574
+- Train Overall Precision: 0.7433
+- Train Overall Recall: 0.8093
+- Train Overall F1: 0.7749
+- Train Overall Accuracy: 0.8024
+- Epoch: 31
 
 ## Model description
 
@@ -78,6 +78,7 @@ The following hyperparameters were used during training:
 | 0.0396     | 0.9753          | 0.75                    | 0.8023               | 0.7753           | 0.7968                 | 28    |
 | 0.0327     | 0.9237          | 0.7462                  | 0.8038               | 0.7739           | 0.8076                 | 29    |
 | 0.0288     | 0.9539          | 0.7396                  | 0.7993               | 0.7683           | 0.8033                 | 30    |
+| 0.0262     | 0.9574          | 0.7433                  | 0.8093               | 0.7749           | 0.8024                 | 31    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:65d8019ada2f5ecc860074a4515bd3fc9691ae0dba99519de2aa2a7ceaf160de
+oid sha256:a6bab0b111918471f06cbdedbd29cc6e56197e9530bfe7088a8256f59daeae32
 size 450829256