stevethecur
commited on
Commit
•
d681cf8
1
Parent(s):
e0b2684
Upload TFLayoutLMForTokenClassification
Browse files- README.md +16 -9
- tf_model.h5 +1 -1
README.md
CHANGED
@@ -4,24 +4,24 @@ base_model: microsoft/layoutlm-base-uncased
|
|
4 |
tags:
|
5 |
- generated_from_keras_callback
|
6 |
model-index:
|
7 |
-
- name:
|
8 |
results: []
|
9 |
---
|
10 |
|
11 |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
|
12 |
probably proofread and complete it, then remove this comment. -->
|
13 |
|
14 |
-
#
|
15 |
|
16 |
This model is a fine-tuned version of [microsoft/layoutlm-base-uncased](https://huggingface.co/microsoft/layoutlm-base-uncased) on an unknown dataset.
|
17 |
It achieves the following results on the evaluation set:
|
18 |
-
- Train Loss:
|
19 |
-
- Validation Loss: 1.
|
20 |
-
- Train Overall Precision: 0.
|
21 |
-
- Train Overall Recall: 0.
|
22 |
-
- Train Overall F1: 0.
|
23 |
-
- Train Overall Accuracy: 0.
|
24 |
-
- Epoch:
|
25 |
|
26 |
## Model description
|
27 |
|
@@ -48,6 +48,13 @@ The following hyperparameters were used during training:
|
|
48 |
| Train Loss | Validation Loss | Train Overall Precision | Train Overall Recall | Train Overall F1 | Train Overall Accuracy | Epoch |
|
49 |
|:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
|
50 |
| 1.6536 | 1.4851 | 0.1737 | 0.3176 | 0.2245 | 0.4025 | 0 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
51 |
|
52 |
|
53 |
### Framework versions
|
|
|
4 |
tags:
|
5 |
- generated_from_keras_callback
|
6 |
model-index:
|
7 |
+
- name: layoutlm-funsd-tf
|
8 |
results: []
|
9 |
---
|
10 |
|
11 |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
|
12 |
probably proofread and complete it, then remove this comment. -->
|
13 |
|
14 |
+
# layoutlm-funsd-tf
|
15 |
|
16 |
This model is a fine-tuned version of [microsoft/layoutlm-base-uncased](https://huggingface.co/microsoft/layoutlm-base-uncased) on an unknown dataset.
|
17 |
It achieves the following results on the evaluation set:
|
18 |
+
- Train Loss: 0.5937
|
19 |
+
- Validation Loss: 1.1902
|
20 |
+
- Train Overall Precision: 0.4751
|
21 |
+
- Train Overall Recall: 0.5850
|
22 |
+
- Train Overall F1: 0.5244
|
23 |
+
- Train Overall Accuracy: 0.6201
|
24 |
+
- Epoch: 7
|
25 |
|
26 |
## Model description
|
27 |
|
|
|
48 |
| Train Loss | Validation Loss | Train Overall Precision | Train Overall Recall | Train Overall F1 | Train Overall Accuracy | Epoch |
|
49 |
|:----------:|:---------------:|:-----------------------:|:--------------------:|:----------------:|:----------------------:|:-----:|
|
50 |
| 1.6536 | 1.4851 | 0.1737 | 0.3176 | 0.2245 | 0.4025 | 0 |
|
51 |
+
| 1.3258 | 1.2951 | 0.2957 | 0.4325 | 0.3513 | 0.4737 | 1 |
|
52 |
+
| 1.1768 | 1.1266 | 0.3614 | 0.4892 | 0.4157 | 0.5489 | 2 |
|
53 |
+
| 1.0113 | 1.0274 | 0.3889 | 0.5294 | 0.4484 | 0.6040 | 3 |
|
54 |
+
| 0.9157 | 1.0104 | 0.4428 | 0.5414 | 0.4871 | 0.6152 | 4 |
|
55 |
+
| 0.7484 | 1.0807 | 0.4742 | 0.5354 | 0.5029 | 0.6153 | 5 |
|
56 |
+
| 0.6791 | 1.2077 | 0.4709 | 0.5434 | 0.5045 | 0.6049 | 6 |
|
57 |
+
| 0.5937 | 1.1902 | 0.4751 | 0.5850 | 0.5244 | 0.6201 | 7 |
|
58 |
|
59 |
|
60 |
### Framework versions
|
tf_model.h5
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 450829256
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:064d4b8d00f06f0c704a52ef98f73ba553e3ba409e0677580bc141628ae8c35b
|
3 |
size 450829256
|