Upload TFLayoutLMForTokenClassification

README.md

@@ -2,24 +2,24 @@
 tags:
 - generated_from_keras_callback
 model-index:
-- name: minhvuquang317/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. -->
 
-# minhvuquang317/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: 0.3479
-- Validation Loss: 0.6233
-- Train Overall Precision: 0.7275
-- Train Overall Recall: 0.7702
-- Train Overall F1: 0.7482
-- Train Overall Accuracy: 0.8127
-- Epoch: 6
+- Train Loss: 0.3061
+- Validation Loss: 0.6626
+- Train Overall Precision: 0.7205
+- Train Overall Recall: 0.7863
+- Train Overall F1: 0.7519
+- Train Overall Accuracy: 0.8006
+- Epoch: 7
 
 ## Model description
 
@@ -52,6 +52,7 @@ The following hyperparameters were used during training:
 | 0.5031     | 0.6265          | 0.6929                  | 0.7903               | 0.7384           | 0.8112                 | 4     |
 | 0.4202     | 0.6244          | 0.7329                  | 0.7863               | 0.7587           | 0.8124                 | 5     |
 | 0.3479     | 0.6233          | 0.7275                  | 0.7702               | 0.7482           | 0.8127                 | 6     |
+| 0.3061     | 0.6626          | 0.7205                  | 0.7863               | 0.7519           | 0.8006                 | 7     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:93b03a3cd329704a6602a66b60038b587a7602efef964263a4d45986aca64ca5
+oid sha256:e62817eaf2a16e54a1c025ecadc0a2f5edba5b868b031ef4ccc4b2ca3786e5f3
 size 450829320