Hugging Face's logo

mousaazari
/
t5-text2sql

Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Model card Files
xet
 Metrics Community
5
mousaazari commited on
Commit
be80ad1
·
1 Parent(s): abe65bb

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +37 -56
README.md CHANGED
@@ -1,4 +1,5 @@
1
  ---
 
2
  tags:
3
  - generated_from_trainer
4
  model-index:
@@ -11,12 +12,12 @@ should probably proofread and complete it, then remove this comment. -->
11
 
12
  # t5-text2sql
13
 
14
- This model was trained from scratch on the None dataset.
15
  It achieves the following results on the evaluation set:
16
- - Loss: 0.1455
17
- - Rouge2 Precision: 0.9206
18
- - Rouge2 Recall: 0.2855
19
- - Rouge2 Fmeasure: 0.3999
20
 
21
  ## Model description
22
 
@@ -41,62 +42,42 @@ The following hyperparameters were used during training:
41
  - seed: 42
42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
43
  - lr_scheduler_type: linear
44
- - num_epochs: 50
45
 
46
  ### Training results
47
 
48
  | Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
49
  |:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
50
- | No log | 1.0 | 11 | 0.2218 | 0.8275 | 0.2542 | 0.3575 |
51
- | No log | 2.0 | 22 | 0.2125 | 0.8782 | 0.2794 | 0.3887 |
52
- | No log | 3.0 | 33 | 0.2136 | 0.8263 | 0.2519 | 0.3551 |
53
- | No log | 4.0 | 44 | 0.2052 | 0.8532 | 0.2662 | 0.3707 |
54
- | No log | 5.0 | 55 | 0.2017 | 0.8462 | 0.2594 | 0.3647 |
55
- | No log | 6.0 | 66 | 0.1979 | 0.8889 | 0.2808 | 0.3903 |
56
- | No log | 7.0 | 77 | 0.1925 | 0.881 | 0.2763 | 0.3849 |
57
- | No log | 8.0 | 88 | 0.1922 | 0.8857 | 0.2847 | 0.3952 |
58
- | No log | 9.0 | 99 | 0.1876 | 0.873 | 0.278 | 0.3865 |
59
- | No log | 10.0 | 110 | 0.1901 | 0.8889 | 0.2804 | 0.3911 |
60
- | No log | 11.0 | 121 | 0.1819 | 0.9127 | 0.2856 | 0.3992 |
61
- | No log | 12.0 | 132 | 0.1809 | 0.9087 | 0.285 | 0.3976 |
62
- | No log | 13.0 | 143 | 0.1731 | 0.9087 | 0.285 | 0.3976 |
63
- | No log | 14.0 | 154 | 0.1696 | 0.9087 | 0.285 | 0.3976 |
64
- | No log | 15.0 | 165 | 0.1683 | 0.9008 | 0.2815 | 0.3923 |
65
- | No log | 16.0 | 176 | 0.1697 | 0.9286 | 0.2913 | 0.4071 |
66
- | No log | 17.0 | 187 | 0.1655 | 0.9246 | 0.2901 | 0.4049 |
67
- | No log | 18.0 | 198 | 0.1625 | 0.9206 | 0.2871 | 0.4012 |
68
- | No log | 19.0 | 209 | 0.1640 | 0.9246 | 0.2901 | 0.4049 |
69
- | No log | 20.0 | 220 | 0.1614 | 0.9246 | 0.2901 | 0.4049 |
70
- | No log | 21.0 | 231 | 0.1582 | 0.9206 | 0.2871 | 0.4012 |
71
- | No log | 22.0 | 242 | 0.1617 | 0.9246 | 0.2901 | 0.4049 |
72
- | No log | 23.0 | 253 | 0.1635 | 0.9246 | 0.2901 | 0.4049 |
73
- | No log | 24.0 | 264 | 0.1600 | 0.9167 | 0.2882 | 0.4025 |
74
- | No log | 25.0 | 275 | 0.1542 | 0.9246 | 0.2901 | 0.4049 |
75
- | No log | 26.0 | 286 | 0.1531 | 0.9206 | 0.2871 | 0.4012 |
76
- | No log | 27.0 | 297 | 0.1512 | 0.9206 | 0.2871 | 0.4012 |
77
- | No log | 28.0 | 308 | 0.1488 | 0.9246 | 0.2901 | 0.4049 |
78
- | No log | 29.0 | 319 | 0.1499 | 0.9246 | 0.2901 | 0.4049 |
79
- | No log | 30.0 | 330 | 0.1518 | 0.9206 | 0.2871 | 0.4012 |
80
- | No log | 31.0 | 341 | 0.1520 | 0.9206 | 0.2871 | 0.4012 |
81
- | No log | 32.0 | 352 | 0.1514 | 0.9206 | 0.2871 | 0.4012 |
82
- | No log | 33.0 | 363 | 0.1524 | 0.9206 | 0.2871 | 0.4012 |
83
- | No log | 34.0 | 374 | 0.1517 | 0.9206 | 0.2871 | 0.4012 |
84
- | No log | 35.0 | 385 | 0.1495 | 0.9206 | 0.2871 | 0.4012 |
85
- | No log | 36.0 | 396 | 0.1499 | 0.9206 | 0.2871 | 0.4012 |
86
- | No log | 37.0 | 407 | 0.1492 | 0.9206 | 0.2871 | 0.4012 |
87
- | No log | 38.0 | 418 | 0.1484 | 0.9206 | 0.2871 | 0.4012 |
88
- | No log | 39.0 | 429 | 0.1472 | 0.9206 | 0.2855 | 0.3999 |
89
- | No log | 40.0 | 440 | 0.1466 | 0.9246 | 0.2885 | 0.4029 |
90
- | No log | 41.0 | 451 | 0.1469 | 0.9246 | 0.2901 | 0.4049 |
91
- | No log | 42.0 | 462 | 0.1461 | 0.9246 | 0.2901 | 0.4049 |
92
- | No log | 43.0 | 473 | 0.1456 | 0.9246 | 0.2901 | 0.4049 |
93
- | No log | 44.0 | 484 | 0.1455 | 0.9206 | 0.2871 | 0.4012 |
94
- | No log | 45.0 | 495 | 0.1450 | 0.9206 | 0.2855 | 0.3999 |
95
- | 0.0715 | 46.0 | 506 | 0.1450 | 0.9206 | 0.2855 | 0.3999 |
96
- | 0.0715 | 47.0 | 517 | 0.1450 | 0.9206 | 0.2855 | 0.3999 |
97
- | 0.0715 | 48.0 | 528 | 0.1452 | 0.9206 | 0.2855 | 0.3999 |
98
- | 0.0715 | 49.0 | 539 | 0.1454 | 0.9206 | 0.2855 | 0.3999 |
99
- | 0.0715 | 50.0 | 550 | 0.1455 | 0.9206 | 0.2855 | 0.3999 |
100
 
101
 
102
  ### Framework versions
 
1
  ---
2
+ license: apache-2.0
3
  tags:
4
  - generated_from_trainer
5
  model-index:
 
12
 
13
  # t5-text2sql
14
 
15
+ This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
16
  It achieves the following results on the evaluation set:
17
+ - Loss: 0.1268
18
+ - Rouge2 Precision: 0.9167
19
+ - Rouge2 Recall: 0.2781
20
+ - Rouge2 Fmeasure: 0.3925
21
 
22
  ## Model description
23
 
 
42
  - seed: 42
43
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
44
  - lr_scheduler_type: linear
45
+ - num_epochs: 30
46
 
47
  ### Training results
48
 
49
  | Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
50
  |:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
51
+ | No log | 1.0 | 11 | 1.2360 | 0.0068 | 0.0008 | 0.0014 |
52
+ | No log | 2.0 | 22 | 0.6550 | 0.2068 | 0.0413 | 0.0677 |
53
+ | No log | 3.0 | 33 | 0.3995 | 0.6135 | 0.205 | 0.2893 |
54
+ | No log | 4.0 | 44 | 0.2969 | 0.7276 | 0.2265 | 0.3192 |
55
+ | No log | 5.0 | 55 | 0.2517 | 0.8066 | 0.2526 | 0.3522 |
56
+ | No log | 6.0 | 66 | 0.2263 | 0.8161 | 0.2537 | 0.3543 |
57
+ | No log | 7.0 | 77 | 0.2114 | 0.8536 | 0.2606 | 0.368 |
58
+ | No log | 8.0 | 88 | 0.1908 | 0.8353 | 0.2486 | 0.3553 |
59
+ | No log | 9.0 | 99 | 0.1847 | 0.8525 | 0.2579 | 0.3657 |
60
+ | No log | 10.0 | 110 | 0.1735 | 0.8321 | 0.2573 | 0.3604 |
61
+ | No log | 11.0 | 121 | 0.1688 | 0.8508 | 0.2634 | 0.3685 |
62
+ | No log | 12.0 | 132 | 0.1628 | 0.8712 | 0.2622 | 0.3721 |
63
+ | No log | 13.0 | 143 | 0.1561 | 0.8389 | 0.2577 | 0.3614 |
64
+ | No log | 14.0 | 154 | 0.1575 | 0.9008 | 0.2757 | 0.3872 |
65
+ | No log | 15.0 | 165 | 0.1515 | 0.8968 | 0.2737 | 0.3855 |
66
+ | No log | 16.0 | 176 | 0.1441 | 0.9087 | 0.2771 | 0.3895 |
67
+ | No log | 17.0 | 187 | 0.1415 | 0.9087 | 0.2771 | 0.3895 |
68
+ | No log | 18.0 | 198 | 0.1399 | 0.8948 | 0.2656 | 0.3772 |
69
+ | No log | 19.0 | 209 | 0.1381 | 0.9087 | 0.2771 | 0.3895 |
70
+ | No log | 20.0 | 220 | 0.1367 | 0.9087 | 0.2771 | 0.3895 |
71
+ | No log | 21.0 | 231 | 0.1332 | 0.9087 | 0.2771 | 0.3895 |
72
+ | No log | 22.0 | 242 | 0.1316 | 0.9087 | 0.2771 | 0.3895 |
73
+ | No log | 23.0 | 253 | 0.1309 | 0.9087 | 0.2771 | 0.3895 |
74
+ | No log | 24.0 | 264 | 0.1294 | 0.9087 | 0.2771 | 0.3895 |
75
+ | No log | 25.0 | 275 | 0.1294 | 0.9167 | 0.2781 | 0.3925 |
76
+ | No log | 26.0 | 286 | 0.1294 | 0.9167 | 0.2781 | 0.3925 |
77
+ | No log | 27.0 | 297 | 0.1291 | 0.9226 | 0.2788 | 0.3937 |
78
+ | No log | 28.0 | 308 | 0.1277 | 0.9167 | 0.2781 | 0.3925 |
79
+ | No log | 29.0 | 319 | 0.1269 | 0.9167 | 0.2781 | 0.3925 |
80
+ | No log | 30.0 | 330 | 0.1268 | 0.9167 | 0.2781 | 0.3925 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
81
 
82
 
83
  ### Framework versions