Upload TFLayoutLMForTokenClassification

README.md

@@ -4,24 +4,24 @@ base_model: microsoft/layoutlm-base-uncased
 tags:
 - generated_from_keras_callback
 model-index:
-- name: vfbsilva/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. -->
 
-# vfbsilva/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: 0.7170
-- Validation Loss: 1.1978
-- Train Overall Precision: 0.4534
-- Train Overall Recall: 0.5660
-- Train Overall F1: 0.5035
-- Train Overall Accuracy: 0.6193
-- Epoch: 6
+- Train Loss: 0.6138
+- Validation Loss: 1.1905
+- Train Overall Precision: 0.5008
+- Train Overall Recall: 0.5921
+- Train Overall F1: 0.5427
+- Train Overall Accuracy: 0.6364
+- Epoch: 7
 
 ## Model description
 
@@ -54,6 +54,7 @@ The following hyperparameters were used during training:
 | 0.9349     | 1.1771          | 0.3860                  | 0.5610               | 0.4574           | 0.5416                 | 4     |
 | 0.8505     | 1.0244          | 0.4657                  | 0.5685               | 0.5120           | 0.6265                 | 5     |
 | 0.7170     | 1.1978          | 0.4534                  | 0.5660               | 0.5035           | 0.6193                 | 6     |
+| 0.6138     | 1.1905          | 0.5008                  | 0.5921               | 0.5427           | 0.6364                 | 7     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ca3bafa23396b95f77f29db79bc66940fae2740dd5034fe4fb45fb408d771fbc
+oid sha256:ff3a0caf292ad846ce9b41c0bcd9c96aa4396f44b2746b385281f055ab0d35a6
 size 450829256