Upload TFLayoutLMForTokenClassification

README.md

@@ -1,8 +1,8 @@
 ---
 license: mit
+base_model: microsoft/layoutlm-base-uncased
 tags:
 - generated_from_keras_callback
-base_model: microsoft/layoutlm-base-uncased
 model-index:
 - name: layoutlm-funsd-tf
   results: []
@@ -15,8 +15,8 @@ probably proofread and complete it, then remove this comment. -->
 
 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: 0.2425
-- Validation Loss: 0.7065
+- Train Loss: 0.2352
+- Validation Loss: 0.6944
 - Epoch: 7
 
 ## Model description
@@ -43,14 +43,14 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
-| 1.6685     | 1.4030          | 0     |
-| 1.1262     | 0.8709          | 1     |
-| 0.7242     | 0.6845          | 2     |
-| 0.5598     | 0.6550          | 3     |
-| 0.4434     | 0.6250          | 4     |
-| 0.3476     | 0.6314          | 5     |
-| 0.2952     | 0.6486          | 6     |
-| 0.2425     | 0.7065          | 7     |
+| 1.6827     | 1.3457          | 0     |
+| 1.1110     | 0.8420          | 1     |
+| 0.7425     | 0.6871          | 2     |
+| 0.5572     | 0.6354          | 3     |
+| 0.4218     | 0.6126          | 4     |
+| 0.3556     | 0.6430          | 5     |
+| 0.2905     | 0.6746          | 6     |
+| 0.2352     | 0.6944          | 7     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:88da4e55f8c20c0801657264d3488e8996605a7d1bae3fd4b18da526bac0268b
+oid sha256:18c9b880fe507a2f107a170cb5587b4a2c8f71ef5b308cd81ac56c3f6900df6d
 size 450829256