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:
|
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 |
| 2.3655 | 2.0025 | 0.0056 | 0.0101 | 0.0072 | 0.3973 | 0 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
51 |
|
52 |
|
53 |
### Framework versions
|
|
|
4 |
tags:
|
5 |
- generated_from_keras_callback
|
6 |
model-index:
|
7 |
+
- name: layoutlm-invoice-tf-2
|
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-invoice-tf-2
|
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: 0.3115
|
19 |
+
- Validation Loss: 0.3451
|
20 |
+
- Train Overall Precision: 0.5831
|
21 |
+
- Train Overall Recall: 0.5567
|
22 |
+
- Train Overall F1: 0.5696
|
23 |
+
- Train Overall Accuracy: 0.8995
|
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 |
| 2.3655 | 2.0025 | 0.0056 | 0.0101 | 0.0072 | 0.3973 | 0 |
|
51 |
+
| 1.7668 | 1.5306 | 0.0185 | 0.0327 | 0.0237 | 0.5455 | 1 |
|
52 |
+
| 1.3422 | 1.1230 | 0.0595 | 0.0831 | 0.0693 | 0.6698 | 2 |
|
53 |
+
| 1.0006 | 0.9051 | 0.1393 | 0.1990 | 0.1639 | 0.7432 | 3 |
|
54 |
+
| 0.7743 | 0.6738 | 0.2127 | 0.2620 | 0.2348 | 0.8158 | 4 |
|
55 |
+
| 0.5996 | 0.5262 | 0.4035 | 0.4106 | 0.4070 | 0.8628 | 5 |
|
56 |
+
| 0.4179 | 0.3998 | 0.4856 | 0.4685 | 0.4769 | 0.8892 | 6 |
|
57 |
+
| 0.3115 | 0.3451 | 0.5831 | 0.5567 | 0.5696 | 0.8995 | 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 450850760
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a281e7c1f750fd7752460be0ca7e3eb7f3466f9a3f57071ede5b0890c16dd789
|
3 |
size 450850760
|