Commit
•
1783f60
1
Parent(s):
9932485
End of training
Browse files
README.md
ADDED
@@ -0,0 +1,84 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: cc-by-nc-sa-4.0
|
3 |
+
tags:
|
4 |
+
- generated_from_trainer
|
5 |
+
metrics:
|
6 |
+
- precision
|
7 |
+
- recall
|
8 |
+
- f1
|
9 |
+
- accuracy
|
10 |
+
model-index:
|
11 |
+
- name: LayoutLMv3_5_entities_3
|
12 |
+
results: []
|
13 |
+
---
|
14 |
+
|
15 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
16 |
+
should probably proofread and complete it, then remove this comment. -->
|
17 |
+
|
18 |
+
# LayoutLMv3_5_entities_3
|
19 |
+
|
20 |
+
This model is a fine-tuned version of [microsoft/layoutlmv3-large](https://huggingface.co/microsoft/layoutlmv3-large) on the None dataset.
|
21 |
+
It achieves the following results on the evaluation set:
|
22 |
+
- Loss: 0.2107
|
23 |
+
- Precision: 0.8835
|
24 |
+
- Recall: 0.8426
|
25 |
+
- F1: 0.8626
|
26 |
+
- Accuracy: 0.9729
|
27 |
+
|
28 |
+
## Model description
|
29 |
+
|
30 |
+
More information needed
|
31 |
+
|
32 |
+
## Intended uses & limitations
|
33 |
+
|
34 |
+
More information needed
|
35 |
+
|
36 |
+
## Training and evaluation data
|
37 |
+
|
38 |
+
More information needed
|
39 |
+
|
40 |
+
## Training procedure
|
41 |
+
|
42 |
+
### Training hyperparameters
|
43 |
+
|
44 |
+
The following hyperparameters were used during training:
|
45 |
+
- learning_rate: 5e-06
|
46 |
+
- train_batch_size: 2
|
47 |
+
- eval_batch_size: 2
|
48 |
+
- seed: 42
|
49 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
50 |
+
- lr_scheduler_type: linear
|
51 |
+
- training_steps: 2000
|
52 |
+
|
53 |
+
### Training results
|
54 |
+
|
55 |
+
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|
56 |
+
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
|
57 |
+
| No log | 2.56 | 100 | 0.1391 | 0.78 | 0.7222 | 0.7500 | 0.9575 |
|
58 |
+
| No log | 5.13 | 200 | 0.1103 | 0.8725 | 0.8241 | 0.8476 | 0.9720 |
|
59 |
+
| No log | 7.69 | 300 | 0.1415 | 0.8922 | 0.8426 | 0.8667 | 0.9739 |
|
60 |
+
| No log | 10.26 | 400 | 0.1649 | 0.8378 | 0.8611 | 0.8493 | 0.9710 |
|
61 |
+
| 0.0838 | 12.82 | 500 | 0.1545 | 0.8713 | 0.8148 | 0.8421 | 0.9729 |
|
62 |
+
| 0.0838 | 15.38 | 600 | 0.1396 | 0.8545 | 0.8704 | 0.8624 | 0.9749 |
|
63 |
+
| 0.0838 | 17.95 | 700 | 0.1523 | 0.8942 | 0.8611 | 0.8774 | 0.9768 |
|
64 |
+
| 0.0838 | 20.51 | 800 | 0.1718 | 0.8519 | 0.8519 | 0.8519 | 0.9710 |
|
65 |
+
| 0.0838 | 23.08 | 900 | 0.2242 | 0.87 | 0.8056 | 0.8365 | 0.9700 |
|
66 |
+
| 0.0044 | 25.64 | 1000 | 0.2165 | 0.88 | 0.8148 | 0.8462 | 0.9710 |
|
67 |
+
| 0.0044 | 28.21 | 1100 | 0.2235 | 0.8866 | 0.7963 | 0.8390 | 0.9681 |
|
68 |
+
| 0.0044 | 30.77 | 1200 | 0.2174 | 0.9 | 0.8333 | 0.8654 | 0.9739 |
|
69 |
+
| 0.0044 | 33.33 | 1300 | 0.1991 | 0.8692 | 0.8611 | 0.8651 | 0.9729 |
|
70 |
+
| 0.0044 | 35.9 | 1400 | 0.1986 | 0.8762 | 0.8519 | 0.8638 | 0.9739 |
|
71 |
+
| 0.0015 | 38.46 | 1500 | 0.2061 | 0.8713 | 0.8148 | 0.8421 | 0.9700 |
|
72 |
+
| 0.0015 | 41.03 | 1600 | 0.1970 | 0.8641 | 0.8241 | 0.8436 | 0.9710 |
|
73 |
+
| 0.0015 | 43.59 | 1700 | 0.2127 | 0.8614 | 0.8056 | 0.8325 | 0.9700 |
|
74 |
+
| 0.0015 | 46.15 | 1800 | 0.2070 | 0.875 | 0.8426 | 0.8585 | 0.9729 |
|
75 |
+
| 0.0015 | 48.72 | 1900 | 0.2097 | 0.8835 | 0.8426 | 0.8626 | 0.9729 |
|
76 |
+
| 0.0008 | 51.28 | 2000 | 0.2107 | 0.8835 | 0.8426 | 0.8626 | 0.9729 |
|
77 |
+
|
78 |
+
|
79 |
+
### Framework versions
|
80 |
+
|
81 |
+
- Transformers 4.29.2
|
82 |
+
- Pytorch 2.0.1+cu118
|
83 |
+
- Datasets 2.14.4
|
84 |
+
- Tokenizers 0.13.3
|
runs/Sep05_15-54-21_5ff50e297a4b/events.out.tfevents.1693929270.5ff50e297a4b.1342.0
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:422ef889f5f0dba426c257031a5ec1a2bf75da5d9294c4433587edf20d05d753
|
3 |
+
size 15076
|