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
376d8b8
·
1 Parent(s): 9a76cda

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +25 -35
README.md CHANGED
@@ -14,10 +14,10 @@ should probably proofread and complete it, then remove this comment. -->
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: 0.1189
18
- - Rouge2 Precision: 0.9177
19
- - Rouge2 Recall: 0.4311
20
- - Rouge2 Fmeasure: 0.5617
21
 
22
  ## Model description
23
 
@@ -42,42 +42,32 @@ The following hyperparameters were used during training:
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 | 0.1481 | 0.8982 | 0.4224 | 0.5515 |
52
- | No log | 2.0 | 22 | 0.1409 | 0.939 | 0.4393 | 0.5736 |
53
- | No log | 3.0 | 33 | 0.1352 | 0.939 | 0.4393 | 0.5736 |
54
- | No log | 4.0 | 44 | 0.1279 | 0.9294 | 0.4353 | 0.5679 |
55
- | No log | 5.0 | 55 | 0.1244 | 0.9192 | 0.4307 | 0.5633 |
56
- | No log | 6.0 | 66 | 0.1294 | 0.9331 | 0.4379 | 0.5716 |
57
- | No log | 7.0 | 77 | 0.1358 | 0.939 | 0.4393 | 0.5736 |
58
- | No log | 8.0 | 88 | 0.1304 | 0.9331 | 0.4379 | 0.5716 |
59
- | No log | 9.0 | 99 | 0.1312 | 0.9177 | 0.4311 | 0.5617 |
60
- | No log | 10.0 | 110 | 0.1291 | 0.9177 | 0.4311 | 0.5617 |
61
- | No log | 11.0 | 121 | 0.1319 | 0.9138 | 0.4311 | 0.5616 |
62
- | No log | 12.0 | 132 | 0.1264 | 0.9113 | 0.4273 | 0.5586 |
63
- | No log | 13.0 | 143 | 0.1273 | 0.907 | 0.4246 | 0.555 |
64
- | No log | 14.0 | 154 | 0.1181 | 0.9113 | 0.4273 | 0.5586 |
65
- | No log | 15.0 | 165 | 0.1196 | 0.9113 | 0.4273 | 0.5586 |
66
- | No log | 16.0 | 176 | 0.1168 | 0.907 | 0.4246 | 0.555 |
67
- | No log | 17.0 | 187 | 0.1190 | 0.9232 | 0.4348 | 0.5672 |
68
- | No log | 18.0 | 198 | 0.1162 | 0.9113 | 0.4273 | 0.5586 |
69
- | No log | 19.0 | 209 | 0.1160 | 0.907 | 0.4246 | 0.555 |
70
- | No log | 20.0 | 220 | 0.1188 | 0.9113 | 0.4246 | 0.5554 |
71
- | No log | 21.0 | 231 | 0.1200 | 0.9113 | 0.4246 | 0.5554 |
72
- | No log | 22.0 | 242 | 0.1226 | 0.9113 | 0.4246 | 0.5554 |
73
- | No log | 23.0 | 253 | 0.1235 | 0.9155 | 0.4273 | 0.5592 |
74
- | No log | 24.0 | 264 | 0.1206 | 0.9177 | 0.4311 | 0.5617 |
75
- | No log | 25.0 | 275 | 0.1189 | 0.9177 | 0.4311 | 0.5617 |
76
- | No log | 26.0 | 286 | 0.1197 | 0.9177 | 0.4311 | 0.5617 |
77
- | No log | 27.0 | 297 | 0.1202 | 0.9177 | 0.4311 | 0.5617 |
78
- | No log | 28.0 | 308 | 0.1199 | 0.9177 | 0.4311 | 0.5617 |
79
- | No log | 29.0 | 319 | 0.1192 | 0.9177 | 0.4311 | 0.5617 |
80
- | No log | 30.0 | 330 | 0.1189 | 0.9177 | 0.4311 | 0.5617 |
81
 
82
 
83
  ### Framework versions
 
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: 0.2416
18
+ - Rouge2 Precision: 0.8462
19
+ - Rouge2 Recall: 0.3885
20
+ - Rouge2 Fmeasure: 0.5121
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: 20
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 | 2.7131 | 0.0949 | 0.0274 | 0.0408 |
52
+ | No log | 2.0 | 22 | 1.8494 | 0.1002 | 0.0344 | 0.0496 |
53
+ | No log | 3.0 | 33 | 1.3319 | 0.1002 | 0.0344 | 0.0496 |
54
+ | No log | 4.0 | 44 | 0.9292 | 0.2173 | 0.0978 | 0.1301 |
55
+ | No log | 5.0 | 55 | 0.6819 | 0.6437 | 0.2999 | 0.3965 |
56
+ | No log | 6.0 | 66 | 0.5479 | 0.7469 | 0.3684 | 0.4781 |
57
+ | No log | 7.0 | 77 | 0.4565 | 0.775 | 0.3583 | 0.4715 |
58
+ | No log | 8.0 | 88 | 0.3960 | 0.7726 | 0.3547 | 0.4683 |
59
+ | No log | 9.0 | 99 | 0.3681 | 0.7736 | 0.3566 | 0.4692 |
60
+ | No log | 10.0 | 110 | 0.3370 | 0.7372 | 0.3191 | 0.4286 |
61
+ | No log | 11.0 | 121 | 0.3134 | 0.758 | 0.3404 | 0.453 |
62
+ | No log | 12.0 | 132 | 0.2914 | 0.7934 | 0.361 | 0.4779 |
63
+ | No log | 13.0 | 143 | 0.2766 | 0.7888 | 0.3599 | 0.476 |
64
+ | No log | 14.0 | 154 | 0.2678 | 0.8269 | 0.3819 | 0.5039 |
65
+ | No log | 15.0 | 165 | 0.2587 | 0.8269 | 0.3819 | 0.5039 |
66
+ | No log | 16.0 | 176 | 0.2523 | 0.8447 | 0.3847 | 0.5084 |
67
+ | No log | 17.0 | 187 | 0.2471 | 0.831 | 0.3802 | 0.5011 |
68
+ | No log | 18.0 | 198 | 0.2440 | 0.8462 | 0.3885 | 0.5121 |
69
+ | No log | 19.0 | 209 | 0.2423 | 0.8462 | 0.3885 | 0.5121 |
70
+ | No log | 20.0 | 220 | 0.2416 | 0.8462 | 0.3885 | 0.5121 |
 
 
 
 
 
 
 
 
 
 
71
 
72
 
73
  ### Framework versions