Hugging Face's logo

semiotic
/
T5-3B-SynQL-Spider-All-Run-01

Text Generation
Transformers
PyTorch
English
t5
text2text-generation
code
text-generation-inference
Model card Files
xet
 Community
denverbaumgartner commited on
Commit
ea7145a
·
verified ·
1 Parent(s): 1e5ad93

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +16 -17
README.md CHANGED
@@ -3,19 +3,20 @@ license: apache-2.0
3
  pipeline_tag: text-generation
4
  tags:
5
  - code
 
 
 
 
 
 
6
  ---
7
 
8
- # Model Card for T5-3B/SynQL-Spider/Run-01
9
-
10
- Developed by: Semiotic Labs
11
-
12
- Model type: [Text to SQL]
13
-
14
- License: [Apache-2.0]
15
-
16
- Finetuned from model: [google-t5/t5-3b]
17
-
18
- Dataset used for finetuning: [semiotic/SynQL-Spider]
19
 
20
  ## Model Context
21
 
@@ -28,14 +29,12 @@ Example metadata can be found below, context represents the prompt that is prese
28
  ```
29
  ## Model Results
30
 
31
- Evaluation set: [Spider/dev]
32
 
33
  Evaluation metrics: [Test-Suite-Execution, Execution Accuracy]
34
 
35
  | Model | Data | Run | Execution Accuracy | Test-Suite Execution Accuracy |
36
  |-------|------|-----|-------------------|-------------------------------|
37
- | T5-3B | semiotic/SynQL-Spider | 00 | 0.7021 | 0.5996 |
38
- | T5-3B | semiotic/SynQL-Spider | 01 | 0.6992 | 0.5464 |
39
- | T5-3B | semiotic/SynQL-Spider | 02 | 0.7002 | 0.5861 |
40
-
41
-
 
3
  pipeline_tag: text-generation
4
  tags:
5
  - code
6
+ datasets:
7
+ - semiotic/SynQL-Spider-Train
8
+ language:
9
+ - en
10
+ base_model:
11
+ - google-t5/t5-3b
12
  ---
13
 
14
+ # Model Card for T5-3B/SynQL-Spider-Train-Run-01
15
+ - Developed by: Semiotic Labs
16
+ - Model type: [Text to SQL]
17
+ - License: [Apache-2.0]
18
+ - Finetuned from model: [google-t5/t5-3b](https://huggingface.co/google-t5/t5-3b)
19
+ - Dataset used for finetuning: [semiotic/SynQL-Spider-Train](https://huggingface.co/datasets/semiotic/SynQL-Spider-Train)
 
 
 
 
 
20
 
21
  ## Model Context
22
 
 
29
  ```
30
  ## Model Results
31
 
32
+ Evaluation set: [Spider/dev](https://github.com/taoyds/test-suite-sql-eval)
33
 
34
  Evaluation metrics: [Test-Suite-Execution, Execution Accuracy]
35
 
36
  | Model | Data | Run | Execution Accuracy | Test-Suite Execution Accuracy |
37
  |-------|------|-----|-------------------|-------------------------------|
38
+ | T5-3B | semiotic/SynQL-Spider-Train | 00 | 0.7021 | 0.5996 |
39
+ | T5-3B | semiotic/SynQL-Spider-Train | 01 | 0.6992 | 0.5464 |
40
+ | T5-3B | semiotic/SynQL-Spider-Train | 02 | 0.7002 | 0.5861 |