Hugging Face's logo

lamiaaEl
/
layoutlmv3-finetuned-language-levels-v2-4000

Token Classification
Transformers
Safetensors
layoutlmv3
Generated from Trainer
Inference Endpoints
Model card Files Community
lamiaaEl commited on
Commit
283c90d
•
1 Parent(s): 67150da

End of training

Browse files
Files changed (2) hide show
  1. README.md +85 -0
  2. model.safetensors +1 -1
README.md ADDED
@@ -0,0 +1,85 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: cc-by-nc-sa-4.0
3
+ base_model: microsoft/layoutlmv3-base
4
+ tags:
5
+ - generated_from_trainer
6
+ metrics:
7
+ - precision
8
+ - recall
9
+ - f1
10
+ - accuracy
11
+ model-index:
12
+ - name: layoutlmv3-finetuned-language-levels-v2-4000
13
+ results: []
14
+ ---
15
+
16
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
17
+ should probably proofread and complete it, then remove this comment. -->
18
+
19
+ # layoutlmv3-finetuned-language-levels-v2-4000
20
+
21
+ This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the None dataset.
22
+ It achieves the following results on the evaluation set:
23
+ - Loss: 0.0153
24
+ - Precision: 1.0
25
+ - Recall: 1.0
26
+ - F1: 1.0
27
+ - Accuracy: 1.0
28
+
29
+ ## Model description
30
+
31
+ More information needed
32
+
33
+ ## Intended uses & limitations
34
+
35
+ More information needed
36
+
37
+ ## Training and evaluation data
38
+
39
+ More information needed
40
+
41
+ ## Training procedure
42
+
43
+ ### Training hyperparameters
44
+
45
+ The following hyperparameters were used during training:
46
+ - learning_rate: 1e-05
47
+ - train_batch_size: 2
48
+ - eval_batch_size: 2
49
+ - seed: 42
50
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
51
+ - lr_scheduler_type: linear
52
+ - training_steps: 2000
53
+
54
+ ### Training results
55
+
56
+ | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
57
+ |:-------------:|:------:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
58
+ | No log | 0.2618 | 100 | 0.8437 | 0.9605 | 0.9605 | 0.9605 | 0.6867 |
59
+ | No log | 0.5236 | 200 | 0.5414 | 0.9962 | 0.9981 | 0.9972 | 0.8052 |
60
+ | No log | 0.7853 | 300 | 0.1877 | 0.9944 | 0.9962 | 0.9953 | 0.9838 |
61
+ | No log | 1.0471 | 400 | 0.0502 | 1.0 | 1.0 | 1.0 | 0.9903 |
62
+ | 0.5339 | 1.3089 | 500 | 0.0153 | 1.0 | 1.0 | 1.0 | 1.0 |
63
+ | 0.5339 | 1.5707 | 600 | 0.0085 | 1.0 | 1.0 | 1.0 | 1.0 |
64
+ | 0.5339 | 1.8325 | 700 | 0.0062 | 1.0 | 1.0 | 1.0 | 1.0 |
65
+ | 0.5339 | 2.0942 | 800 | 0.0049 | 1.0 | 1.0 | 1.0 | 1.0 |
66
+ | 0.5339 | 2.3560 | 900 | 0.0041 | 1.0 | 1.0 | 1.0 | 1.0 |
67
+ | 0.0125 | 2.6178 | 1000 | 0.0035 | 1.0 | 1.0 | 1.0 | 1.0 |
68
+ | 0.0125 | 2.8796 | 1100 | 0.0031 | 1.0 | 1.0 | 1.0 | 1.0 |
69
+ | 0.0125 | 3.1414 | 1200 | 0.0028 | 1.0 | 1.0 | 1.0 | 1.0 |
70
+ | 0.0125 | 3.4031 | 1300 | 0.0026 | 1.0 | 1.0 | 1.0 | 1.0 |
71
+ | 0.0125 | 3.6649 | 1400 | 0.0024 | 1.0 | 1.0 | 1.0 | 1.0 |
72
+ | 0.0052 | 3.9267 | 1500 | 0.0022 | 1.0 | 1.0 | 1.0 | 1.0 |
73
+ | 0.0052 | 4.1885 | 1600 | 0.0021 | 1.0 | 1.0 | 1.0 | 1.0 |
74
+ | 0.0052 | 4.4503 | 1700 | 0.0020 | 1.0 | 1.0 | 1.0 | 1.0 |
75
+ | 0.0052 | 4.7120 | 1800 | 0.0020 | 1.0 | 1.0 | 1.0 | 1.0 |
76
+ | 0.0052 | 4.9738 | 1900 | 0.0019 | 1.0 | 1.0 | 1.0 | 1.0 |
77
+ | 0.004 | 5.2356 | 2000 | 0.0019 | 1.0 | 1.0 | 1.0 | 1.0 |
78
+
79
+
80
+ ### Framework versions
81
+
82
+ - Transformers 4.43.2
83
+ - Pytorch 2.1.0+cu118
84
+ - Datasets 2.20.0
85
+ - Tokenizers 0.19.1
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:306bacb3852ad12e9fde5de869011cd800e7258dd573a2d777db79900f10fd29
3
  size 503730436
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:30cdf83adf6c68c7a12a1fdf2729c02a0425421ab68923fb57cc16815262e25c
3
  size 503730436