Hugging Face's logo

sumitD
/
table-transformer-structure-recognition-v1.1-all-finetuned

Object Detection
Transformers
Safetensors
table-transformer
Generated from Trainer
Model card Files
xet
Community
sumitD commited on
Commit
97807ea
·
verified ·
1 Parent(s): 2c7a706

sumitD/table-transformer-structure-recognition-v1.1-all-finetuned

Browse files
Files changed (3) hide show
  1. README.md +38 -32
  2. config.json +1 -1
  3. model.safetensors +1 -1
README.md CHANGED
@@ -1,7 +1,7 @@
1
  ---
2
  library_name: transformers
3
  license: mit
4
- base_model: microsoft/table-transformer-structure-recognition-v1.1-all
5
  tags:
6
  - generated_from_trainer
7
  model-index:
@@ -14,38 +14,33 @@ should probably proofread and complete it, then remove this comment. -->
14
 
15
  # table-transformer-structure-recognition-v1.1-all-finetuned
16
 
17
- This model is a fine-tuned version of [microsoft/table-transformer-structure-recognition-v1.1-all](https://huggingface.co/microsoft/table-transformer-structure-recognition-v1.1-all) on the None dataset.
18
  It achieves the following results on the evaluation set:
19
- - eval_loss: 0.1912
20
- - eval_map: 0.8766
21
- - eval_map_50: 0.9434
22
- - eval_map_75: 0.9207
23
- - eval_map_small: -1.0
24
- - eval_map_medium: 0.6345
25
- - eval_map_large: 0.8754
26
- - eval_mar_1: 0.5409
27
- - eval_mar_10: 0.9214
28
- - eval_mar_100: 0.9519
29
- - eval_mar_small: -1.0
30
- - eval_mar_medium: 0.7107
31
- - eval_mar_large: 0.9517
32
- - eval_map_table: 0.9823
33
- - eval_mar_100_table: 0.9921
34
- - eval_map_table column: 0.957
35
- - eval_mar_100_table column: 0.9789
36
- - eval_map_table column header: 0.9225
37
- - eval_mar_100_table column header: 0.9648
38
- - eval_map_table projected row header: 0.7332
39
- - eval_mar_100_table projected row header: 0.9478
40
- - eval_map_table row: 0.9386
41
- - eval_mar_100_table row: 0.9734
42
- - eval_map_table spanning cell: 0.7258
43
- - eval_mar_100_table spanning cell: 0.8543
44
- - eval_runtime: 153.5358
45
- - eval_samples_per_second: 618.481
46
- - eval_steps_per_second: 19.331
47
- - epoch: 2.0
48
- - step: 47430
49
 
50
  ## Model description
51
 
@@ -73,6 +68,17 @@ The following hyperparameters were used during training:
73
  - num_epochs: 5
74
  - mixed_precision_training: Native AMP
75
 
 
 
 
 
 
 
 
 
 
 
 
76
  ### Framework versions
77
 
78
  - Transformers 4.48.2
 
1
  ---
2
  library_name: transformers
3
  license: mit
4
+ base_model: sumitD/table-transformer-structure-recognition-v1.1-all-finetuned
5
  tags:
6
  - generated_from_trainer
7
  model-index:
 
14
 
15
  # table-transformer-structure-recognition-v1.1-all-finetuned
16
 
17
+ This model is a fine-tuned version of [sumitD/table-transformer-structure-recognition-v1.1-all-finetuned](https://huggingface.co/sumitD/table-transformer-structure-recognition-v1.1-all-finetuned) on the None dataset.
18
  It achieves the following results on the evaluation set:
19
+ - Loss: 0.1419
20
+ - Map: 0.9219
21
+ - Map 50: 0.966
22
+ - Map 75: 0.9496
23
+ - Map Small: -1.0
24
+ - Map Medium: 0.8782
25
+ - Map Large: 0.921
26
+ - Mar 1: 0.5537
27
+ - Mar 10: 0.9407
28
+ - Mar 100: 0.9694
29
+ - Mar Small: -1.0
30
+ - Mar Medium: 0.9079
31
+ - Mar Large: 0.9693
32
+ - Map Table: 0.9882
33
+ - Mar 100 Table: 0.9964
34
+ - Map Table column: 0.9732
35
+ - Mar 100 Table column: 0.9892
36
+ - Map Table column header: 0.9543
37
+ - Mar 100 Table column header: 0.9847
38
+ - Map Table projected row header: 0.8673
39
+ - Mar 100 Table projected row header: 0.964
40
+ - Map Table row: 0.9584
41
+ - Mar 100 Table row: 0.9838
42
+ - Map Table spanning cell: 0.7903
43
+ - Mar 100 Table spanning cell: 0.8983
 
 
 
 
 
44
 
45
  ## Model description
46
 
 
68
  - num_epochs: 5
69
  - mixed_precision_training: Native AMP
70
 
71
+ ### Training results
72
+
73
+ | Training Loss | Epoch | Step | Validation Loss | Map | Map 50 | Map 75 | Map Small | Map Medium | Map Large | Mar 1 | Mar 10 | Mar 100 | Mar Small | Mar Medium | Mar Large | Map Table | Mar 100 Table | Map Table column | Mar 100 Table column | Map Table column header | Mar 100 Table column header | Map Table projected row header | Mar 100 Table projected row header | Map Table row | Mar 100 Table row | Map Table spanning cell | Mar 100 Table spanning cell |
74
+ |:-------------:|:-----:|:------:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:---------:|:-------------:|:----------------:|:--------------------:|:-----------------------:|:---------------------------:|:------------------------------:|:----------------------------------:|:-------------:|:-----------------:|:-----------------------:|:---------------------------:|
75
+ | 0.2338 | 1.0 | 23715 | 0.1991 | 0.8756 | 0.9505 | 0.9307 | -1.0 | 0.7912 | 0.8748 | 0.5395 | 0.9175 | 0.9471 | -1.0 | 0.8518 | 0.947 | 0.9844 | 0.9935 | 0.9582 | 0.981 | 0.9111 | 0.9647 | 0.7701 | 0.9364 | 0.9147 | 0.9577 | 0.7149 | 0.8496 |
76
+ | 0.2048 | 2.0 | 47430 | 0.1915 | 0.8827 | 0.9567 | 0.9384 | -1.0 | 0.8103 | 0.8823 | 0.54 | 0.9197 | 0.9498 | -1.0 | 0.8538 | 0.9499 | 0.9855 | 0.9944 | 0.9564 | 0.9819 | 0.9047 | 0.9527 | 0.7905 | 0.9437 | 0.9222 | 0.9651 | 0.7371 | 0.8607 |
77
+ | 0.1841 | 3.0 | 71145 | 0.1605 | 0.9087 | 0.9636 | 0.9467 | -1.0 | 0.8373 | 0.9077 | 0.548 | 0.933 | 0.9616 | -1.0 | 0.8868 | 0.9613 | 0.9836 | 0.9935 | 0.9703 | 0.9888 | 0.94 | 0.9771 | 0.8468 | 0.9545 | 0.9466 | 0.9781 | 0.765 | 0.8778 |
78
+ | 0.1914 | 4.0 | 94860 | 0.1496 | 0.9181 | 0.9652 | 0.9496 | -1.0 | 0.8741 | 0.917 | 0.552 | 0.9387 | 0.9678 | -1.0 | 0.9024 | 0.9676 | 0.9886 | 0.9968 | 0.9724 | 0.9886 | 0.9508 | 0.9824 | 0.8561 | 0.9628 | 0.9574 | 0.9829 | 0.7836 | 0.8934 |
79
+ | 0.1739 | 5.0 | 118575 | 0.1419 | 0.9219 | 0.966 | 0.9496 | -1.0 | 0.8782 | 0.921 | 0.5537 | 0.9407 | 0.9694 | -1.0 | 0.9079 | 0.9693 | 0.9882 | 0.9964 | 0.9732 | 0.9892 | 0.9543 | 0.9847 | 0.8673 | 0.964 | 0.9584 | 0.9838 | 0.7903 | 0.8983 |
80
+
81
+
82
  ### Framework versions
83
 
84
  - Transformers 4.48.2
config.json CHANGED
@@ -1,5 +1,5 @@
1
  {
2
- "_name_or_path": "microsoft/table-transformer-structure-recognition-v1.1-all",
3
  "activation_dropout": 0.0,
4
  "activation_function": "relu",
5
  "architectures": [
 
1
  {
2
+ "_name_or_path": "sumitD/table-transformer-structure-recognition-v1.1-all-finetuned",
3
  "activation_dropout": 0.0,
4
  "activation_function": "relu",
5
  "architectures": [
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:5d50079bbe4187ad550d3ebcc0b3fbd0e5bc6469d985026a9419f21daddaf3f8
3
  size 115437156
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:09e0d2cc5b6cd56a2fa8616944203574d64e4b4ed68805ceb14758a26a34fb4d
3
  size 115437156