Hugging Face's logo

Ammar-alhaj-ali
/
LayoutLMv3-Fine-Tuning-Invoice

Token Classification
Transformers
PyTorch
layoutlmv3
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Community
2
Ammar-alhaj-ali commited on
Commit
29b538e
•
1 Parent(s): f50be2d

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +10 -10
README.md CHANGED
@@ -30,16 +30,16 @@ The following hyperparameters were used during training:
30
 
31
  | Training Loss | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
32
  |:-------------:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
33
- | No log | 100 | 0.0878 | 0.968 | 0.9817 | 0.9748 | 0.9966 |
34
- | No log | 200 | 0.0241 | 0.972 | 0.9858 | 0.9789 | 0.9971 |
35
- | No log | 300 | 0.0186 | 0.972 | 0.9858 | 0.9789 | 0.9971 |
36
- | No log | 400 | 0.0184 | 0.9854 | 0.9574 | 0.9712 | 0.9956 |
37
- | 0.110800 | 500 | 0.0016 | 1.0 | 1.0 | 1.0 | 1.0 |
38
- | 0.110800 | 600 | 0.0015 | 1.0 | 1.0 | 1.0 | 1.0 |
39
- | 0.110800 | 700 | 0.0014 | 1.0 | 1.0 | 1.0 | 1.0 |
40
- | 0.110800 | 800 | 0.0013 | 1.0 | 1.0 | 1.0 | 1.0 |
41
- | 0.110800 | 900 | 0.0012 | 1.0 | 1.0 | 1.0 | 1.0 |
42
- | 0.004900 | 1000 | 0.0012 | 1.0 | 1.0 | 1.0 | 1.0 |
43
 
44
 
45
 
 
30
 
31
  | Training Loss | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
32
  |:-------------:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
33
+ | No log | 100 | 0.070030 | 0.972000 | 0.985801 | 0.978852 | 0.997051 |
34
+ | No log | 200 | 0.017637 | 0.972000 | 0.985801 | 0.978852 | 0.997051 |
35
+ | No log | 300 | 0.015573 | 0.972000 | 0.985801 | 0.978852 | 0.997051 |
36
+ | No log | 400 | 0.011000 | 0.973737 | 0.977688 | 0.978852 | 0.996419 |
37
+ | 0.110800 | 500 | 0.005334 | 1.0 | 1.0 | 1.0 | 1.0 |
38
+ | 0.110800 | 600 | 0.002994 | 1.0 | 1.0 | 1.0 | 1.0 |
39
+ | 0.110800 | 700 | 0.002330 | 1.0 | 1.0 | 1.0 | 1.0 |
40
+ | 0.110800 | 800 | 0.002188 | 1.0 | 1.0 | 1.0 | 1.0 |
41
+ | 0.110800 | 900 | 0.002105 | 1.0 | 1.0 | 1.0 | 1.0 |
42
+ | 0.004900 | 1000 | 0.002111 | 1.0 | 1.0 | 1.0 | 1.0 |
43
 
44
 
45