Upload TFLayoutLMForTokenClassification

README.md

@@ -4,24 +4,24 @@ base_model: microsoft/layoutlm-base-uncased
 tags:
 - generated_from_keras_callback
 model-index:
-- name: 2circlejun/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. -->
 
-# 2circlejun/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: 1.7068
-- Validation Loss: 1.4323
-- Train Overall Precision: 0.2302
-- Train Overall Recall: 0.2604
-- Train Overall F1: 0.2444
-- Train Overall Accuracy: 0.5097
-- Epoch: 0
+- Train Loss: 0.2479
+- Validation Loss: 0.6865
+- Train Overall Precision: 0.7469
+- Train Overall Recall: 0.8098
+- Train Overall F1: 0.7771
+- Train Overall Accuracy: 0.8111
+- Epoch: 7
 
 ## Model description
 
@@ -48,6 +48,13 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Overall Precision | Train Overall Recall | Train Overall F1 | Train Overall Accuracy | Epoch |
 |:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
 | 1.7068     | 1.4323          | 0.2302                  | 0.2604               | 0.2444           | 0.5097                 | 0     |
+| 1.1785     | 0.8879          | 0.5487                  | 0.6553               | 0.5973           | 0.7149                 | 1     |
+| 0.7570     | 0.7017          | 0.6315                  | 0.7411               | 0.6819           | 0.7810                 | 2     |
+| 0.5598     | 0.6353          | 0.6893                  | 0.7747               | 0.7295           | 0.7954                 | 3     |
+| 0.4407     | 0.6282          | 0.7144                  | 0.7842               | 0.7477           | 0.8015                 | 4     |
+| 0.3450     | 0.6653          | 0.7174                  | 0.7822               | 0.7484           | 0.8036                 | 5     |
+| 0.2758     | 0.7178          | 0.7002                  | 0.7863               | 0.7407           | 0.7920                 | 6     |
+| 0.2479     | 0.6865          | 0.7469                  | 0.8098               | 0.7771           | 0.8111                 | 7     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6c6af835a515d8f7d341fc3b071711c88f867b660b9446ba5edbec3ca0ce8adf
+oid sha256:3a85f98cb04dad7ce2a0d68aff7edbd60e3a5b70af7426de6c0eb8c4db7f5d3d
 size 450829256