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
b541972
·
1 Parent(s): e7f5bc3

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +36 -35
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: 0.1337
17
- - Rouge2 Precision: 0.9067
18
- - Rouge2 Recall: 0.2721
19
- - Rouge2 Fmeasure: 0.3864
20
 
21
  ## Model description
22
 
@@ -47,36 +48,36 @@ The following hyperparameters were used during training:
47
 
48
  | Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
49
  |:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
50
- | No log | 1.0 | 11 | 0.1491 | 0.9028 | 0.2685 | 0.3821 |
51
- | No log | 2.0 | 22 | 0.1412 | 0.881 | 0.2636 | 0.3736 |
52
- | No log | 3.0 | 33 | 0.1278 | 0.8651 | 0.2591 | 0.3667 |
53
- | No log | 4.0 | 44 | 0.1260 | 0.8324 | 0.2421 | 0.3449 |
54
- | No log | 5.0 | 55 | 0.1383 | 0.8611 | 0.251 | 0.3588 |
55
- | No log | 6.0 | 66 | 0.1437 | 0.9028 | 0.2685 | 0.3821 |
56
- | No log | 7.0 | 77 | 0.1435 | 0.881 | 0.2633 | 0.3731 |
57
- | No log | 8.0 | 88 | 0.1402 | 0.881 | 0.2633 | 0.3731 |
58
- | No log | 9.0 | 99 | 0.1292 | 0.9028 | 0.2685 | 0.3821 |
59
- | No log | 10.0 | 110 | 0.1324 | 0.9028 | 0.2685 | 0.3821 |
60
- | No log | 11.0 | 121 | 0.1518 | 0.9067 | 0.2721 | 0.3864 |
61
- | No log | 12.0 | 132 | 0.1368 | 0.9028 | 0.2708 | 0.3836 |
62
- | No log | 13.0 | 143 | 0.1333 | 0.9028 | 0.2708 | 0.3836 |
63
- | No log | 14.0 | 154 | 0.1359 | 0.8988 | 0.2675 | 0.38 |
64
- | No log | 15.0 | 165 | 0.1415 | 0.9028 | 0.2708 | 0.3836 |
65
- | No log | 16.0 | 176 | 0.1397 | 0.9028 | 0.2708 | 0.3836 |
66
- | No log | 17.0 | 187 | 0.1415 | 0.9067 | 0.2721 | 0.3864 |
67
- | No log | 18.0 | 198 | 0.1339 | 0.9147 | 0.2731 | 0.3889 |
68
- | No log | 19.0 | 209 | 0.1345 | 0.9147 | 0.2731 | 0.3889 |
69
- | No log | 20.0 | 220 | 0.1371 | 0.9067 | 0.2721 | 0.3864 |
70
- | No log | 21.0 | 231 | 0.1368 | 0.9067 | 0.2721 | 0.3864 |
71
- | No log | 22.0 | 242 | 0.1342 | 0.9067 | 0.2721 | 0.3864 |
72
- | No log | 23.0 | 253 | 0.1331 | 0.9067 | 0.2721 | 0.3864 |
73
- | No log | 24.0 | 264 | 0.1335 | 0.9067 | 0.2721 | 0.3864 |
74
- | No log | 25.0 | 275 | 0.1343 | 0.9067 | 0.2721 | 0.3864 |
75
- | No log | 26.0 | 286 | 0.1348 | 0.9067 | 0.2721 | 0.3864 |
76
- | No log | 27.0 | 297 | 0.1345 | 0.9067 | 0.2721 | 0.3864 |
77
- | No log | 28.0 | 308 | 0.1343 | 0.9067 | 0.2721 | 0.3864 |
78
- | No log | 29.0 | 319 | 0.1338 | 0.9067 | 0.2721 | 0.3864 |
79
- | No log | 30.0 | 330 | 0.1337 | 0.9067 | 0.2721 | 0.3864 |
80
 
81
 
82
  ### 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: 0.0875
18
+ - Rouge2 Precision: 0.9048
19
+ - Rouge2 Recall: 0.2724
20
+ - Rouge2 Fmeasure: 0.3858
21
 
22
  ## Model description
23
 
 
48
 
49
  | Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
50
  |:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
51
+ | No log | 1.0 | 11 | 0.8173 | 0.0196 | 0.0025 | 0.0045 |
52
+ | No log | 2.0 | 22 | 0.4331 | 0.2234 | 0.0563 | 0.086 |
53
+ | No log | 3.0 | 33 | 0.2645 | 0.6389 | 0.2267 | 0.3106 |
54
+ | No log | 4.0 | 44 | 0.2033 | 0.7816 | 0.2501 | 0.3482 |
55
+ | No log | 5.0 | 55 | 0.1722 | 0.7949 | 0.247 | 0.3466 |
56
+ | No log | 6.0 | 66 | 0.1518 | 0.7744 | 0.2423 | 0.3392 |
57
+ | No log | 7.0 | 77 | 0.1371 | 0.8029 | 0.2409 | 0.3415 |
58
+ | No log | 8.0 | 88 | 0.1296 | 0.8235 | 0.2594 | 0.3643 |
59
+ | No log | 9.0 | 99 | 0.1202 | 0.8571 | 0.2628 | 0.3707 |
60
+ | No log | 10.0 | 110 | 0.1163 | 0.8671 | 0.2647 | 0.373 |
61
+ | No log | 11.0 | 121 | 0.1108 | 0.8849 | 0.2676 | 0.3771 |
62
+ | No log | 12.0 | 132 | 0.1063 | 0.8606 | 0.2436 | 0.3519 |
63
+ | No log | 13.0 | 143 | 0.1026 | 0.8669 | 0.2423 | 0.3519 |
64
+ | No log | 14.0 | 154 | 0.1024 | 0.8574 | 0.2402 | 0.3484 |
65
+ | No log | 15.0 | 165 | 0.0994 | 0.8535 | 0.2391 | 0.3471 |
66
+ | No log | 16.0 | 176 | 0.0984 | 0.8849 | 0.2657 | 0.375 |
67
+ | No log | 17.0 | 187 | 0.0971 | 0.9008 | 0.2705 | 0.3836 |
68
+ | No log | 18.0 | 198 | 0.0910 | 0.9008 | 0.2705 | 0.3836 |
69
+ | No log | 19.0 | 209 | 0.0892 | 0.8645 | 0.2444 | 0.3524 |
70
+ | No log | 20.0 | 220 | 0.0922 | 0.875 | 0.2529 | 0.3632 |
71
+ | No log | 21.0 | 231 | 0.0907 | 0.877 | 0.2495 | 0.3606 |
72
+ | No log | 22.0 | 242 | 0.0922 | 0.9048 | 0.2724 | 0.3858 |
73
+ | No log | 23.0 | 253 | 0.0919 | 0.9048 | 0.2724 | 0.3858 |
74
+ | No log | 24.0 | 264 | 0.0909 | 0.877 | 0.2495 | 0.3606 |
75
+ | No log | 25.0 | 275 | 0.0883 | 0.881 | 0.2504 | 0.362 |
76
+ | No log | 26.0 | 286 | 0.0884 | 0.877 | 0.2495 | 0.3606 |
77
+ | No log | 27.0 | 297 | 0.0889 | 0.877 | 0.2495 | 0.3606 |
78
+ | No log | 28.0 | 308 | 0.0882 | 0.9048 | 0.2724 | 0.3858 |
79
+ | No log | 29.0 | 319 | 0.0874 | 0.9048 | 0.2724 | 0.3858 |
80
+ | No log | 30.0 | 330 | 0.0875 | 0.9048 | 0.2724 | 0.3858 |
81
 
82
 
83
  ### Framework versions