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# t5-base-sede-txt2sql

This model is a fine-tuned version of [google/t5-v1_1-base](https://huggingface.co/google/t5-v1_1-base) on the sede dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1577
- Bleu Score: 0.5923
- Parsable Queries Accuracy: 0.0
- Partial Match F1: 0.0
- Partial Match F1 No Values: 0.0
- Partial Match Em: 0.0
- Partial Match No Values Em: 0.0

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu Score | Parsable Queries Accuracy | Partial Match F1 | Partial Match F1 No Values | Partial Match Em | Partial Match No Values Em |
|:-------------:|:-----:|:----:|:---------------:|:----------:|:-------------------------:|:----------------:|:--------------------------:|:----------------:|:--------------------------:|
| No log        | 1.0   | 95   | 13.2410         | 0.0069     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| No log        | 2.0   | 190  | 7.6317          | 0.0134     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| No log        | 3.0   | 285  | 6.0919          | 0.0058     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| No log        | 4.0   | 380  | 5.4922          | 0.0021     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| No log        | 5.0   | 475  | 4.7151          | 0.0009     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 12.0698       | 6.0   | 570  | 4.1412          | 0.0003     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 12.0698       | 7.0   | 665  | 3.6398          | 0.0003     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 12.0698       | 8.0   | 760  | 3.2643          | 0.0009     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 12.0698       | 9.0   | 855  | 3.0544          | 0.0013     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 12.0698       | 10.0  | 950  | 2.8015          | 0.0043     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 4.696         | 11.0  | 1045 | 2.5552          | 0.0789     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 4.696         | 12.0  | 1140 | 2.3535          | 0.1036     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 4.696         | 13.0  | 1235 | 2.2132          | 0.0050     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 4.696         | 14.0  | 1330 | 2.1084          | 0.1333     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 4.696         | 15.0  | 1425 | 2.0117          | 0.2972     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 3.1348        | 16.0  | 1520 | 1.9333          | 0.2481     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 3.1348        | 17.0  | 1615 | 1.8395          | 0.4149     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 3.1348        | 18.0  | 1710 | 1.7661          | 0.5439     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 3.1348        | 19.0  | 1805 | 1.7101          | 0.6001     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 3.1348        | 20.0  | 1900 | 1.6562          | 0.6219     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 3.1348        | 21.0  | 1995 | 1.6073          | 0.5865     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 2.4276        | 22.0  | 2090 | 1.5773          | 0.5683     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 2.4276        | 23.0  | 2185 | 1.5478          | 0.5408     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 2.4276        | 24.0  | 2280 | 1.5190          | 0.5749     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 2.4276        | 25.0  | 2375 | 1.4927          | 0.5818     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 2.4276        | 26.0  | 2470 | 1.4671          | 0.5673     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 2.076         | 27.0  | 2565 | 1.4499          | 0.5616     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 2.076         | 28.0  | 2660 | 1.4275          | 0.6041     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 2.076         | 29.0  | 2755 | 1.4096          | 0.5764     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 2.076         | 30.0  | 2850 | 1.3983          | 0.5862     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 2.076         | 31.0  | 2945 | 1.3812          | 0.5982     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.8828        | 32.0  | 3040 | 1.3679          | 0.5927     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.8828        | 33.0  | 3135 | 1.3548          | 0.5916     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.8828        | 34.0  | 3230 | 1.3461          | 0.5769     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.8828        | 35.0  | 3325 | 1.3353          | 0.5871     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.8828        | 36.0  | 3420 | 1.3293          | 0.5687     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.7602        | 37.0  | 3515 | 1.3195          | 0.5689     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.7602        | 38.0  | 3610 | 1.3109          | 0.5949     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.7602        | 39.0  | 3705 | 1.3049          | 0.5619     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.7602        | 40.0  | 3800 | 1.2953          | 0.5872     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.7602        | 41.0  | 3895 | 1.2907          | 0.6014     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.7602        | 42.0  | 3990 | 1.2831          | 0.5917     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.6652        | 43.0  | 4085 | 1.2757          | 0.5718     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.6652        | 44.0  | 4180 | 1.2692          | 0.5707     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.6652        | 45.0  | 4275 | 1.2642          | 0.5758     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.6652        | 46.0  | 4370 | 1.2619          | 0.6012     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.6652        | 47.0  | 4465 | 1.2527          | 0.5749     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.6009        | 48.0  | 4560 | 1.2496          | 0.5722     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.6009        | 49.0  | 4655 | 1.2447          | 0.5633     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.6009        | 50.0  | 4750 | 1.2411          | 0.5615     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.6009        | 51.0  | 4845 | 1.2356          | 0.5691     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.6009        | 52.0  | 4940 | 1.2322          | 0.5636     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.5481        | 53.0  | 5035 | 1.2285          | 0.5724     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.5481        | 54.0  | 5130 | 1.2255          | 0.5771     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.5481        | 55.0  | 5225 | 1.2201          | 0.5827     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.5481        | 56.0  | 5320 | 1.2181          | 0.5928     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.5481        | 57.0  | 5415 | 1.2152          | 0.5599     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.5082        | 58.0  | 5510 | 1.2123          | 0.5779     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.5082        | 59.0  | 5605 | 1.2083          | 0.5609     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.5082        | 60.0  | 5700 | 1.2070          | 0.5654     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.5082        | 61.0  | 5795 | 1.2036          | 0.5566     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.5082        | 62.0  | 5890 | 1.2011          | 0.5569     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.5082        | 63.0  | 5985 | 1.1993          | 0.5567     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.4799        | 64.0  | 6080 | 1.1958          | 0.5619     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.4799        | 65.0  | 6175 | 1.1950          | 0.5691     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.4799        | 66.0  | 6270 | 1.1914          | 0.5572     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.4799        | 67.0  | 6365 | 1.1879          | 0.5635     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.4799        | 68.0  | 6460 | 1.1866          | 0.5654     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.4475        | 69.0  | 6555 | 1.1850          | 0.5575     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.4475        | 70.0  | 6650 | 1.1833          | 0.5507     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.4475        | 71.0  | 6745 | 1.1820          | 0.5493     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.4475        | 72.0  | 6840 | 1.1786          | 0.5525     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.4475        | 73.0  | 6935 | 1.1789          | 0.5615     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.4233        | 74.0  | 7030 | 1.1770          | 0.5603     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.4233        | 75.0  | 7125 | 1.1749          | 0.5699     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.4233        | 76.0  | 7220 | 1.1754          | 0.5730     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.4233        | 77.0  | 7315 | 1.1735          | 0.5798     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.4233        | 78.0  | 7410 | 1.1716          | 0.5771     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.4101        | 79.0  | 7505 | 1.1699          | 0.5800     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.4101        | 80.0  | 7600 | 1.1675          | 0.5736     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.4101        | 81.0  | 7695 | 1.1661          | 0.5845     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.4101        | 82.0  | 7790 | 1.1659          | 0.5974     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.4101        | 83.0  | 7885 | 1.1664          | 0.5825     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.4101        | 84.0  | 7980 | 1.1647          | 0.5871     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.3965        | 85.0  | 8075 | 1.1639          | 0.5772     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.3965        | 86.0  | 8170 | 1.1628          | 0.5826     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.3965        | 87.0  | 8265 | 1.1615          | 0.5960     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.3965        | 88.0  | 8360 | 1.1616          | 0.5908     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.3965        | 89.0  | 8455 | 1.1613          | 0.5775     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.3835        | 90.0  | 8550 | 1.1604          | 0.5917     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.3835        | 91.0  | 8645 | 1.1597          | 0.5732     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.3835        | 92.0  | 8740 | 1.1594          | 0.5767     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.3835        | 93.0  | 8835 | 1.1584          | 0.5719     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.3835        | 94.0  | 8930 | 1.1581          | 0.5700     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.3766        | 95.0  | 9025 | 1.1583          | 0.5845     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.3766        | 96.0  | 9120 | 1.1578          | 0.5808     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.3766        | 97.0  | 9215 | 1.1578          | 0.5889     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.3766        | 98.0  | 9310 | 1.1577          | 0.5851     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.3766        | 99.0  | 9405 | 1.1578          | 0.5923     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |
| 1.3726        | 100.0 | 9500 | 1.1577          | 0.5923     | 0.0                       | 0.0              | 0.0                        | 0.0              | 0.0                        |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["sede"], "model-index": [{"name": "t5-base-sede-txt2sql", "results": []}]}
transformers pytorch tensorboard t5 text2text-generation generated_from_trainer dataset:sede license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #dataset-sede #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

t5-base-sede-txt2sql
====================


This model is a fine-tuned version of google/t5-v1\_1-base on the sede dataset.
It achieves the following results on the evaluation set:


* Loss: 1.1577
* Bleu Score: 0.5923
* Parsable Queries Accuracy: 0.0
* Partial Match F1: 0.0
* Partial Match F1 No Values: 0.0
* Partial Match Em: 0.0
* Partial Match No Values Em: 0.0


Model description
-----------------


More information needed


Intended uses & limitations
---------------------------


More information needed


Training and evaluation data
----------------------------


More information needed


Training procedure
------------------


### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 100


### Training results



### Framework versions


* Transformers 4.18.0
* Pytorch 1.11.0+cu113
* Datasets 2.1.0
* Tokenizers 0.12.1



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 100 ### Training results ### Framework versions


* Transformers 4.18.0
* Pytorch 1.11.0+cu113
* Datasets 2.1.0
* Tokenizers 0.12.1
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #dataset-sede #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 100 ### Training results ### Framework versions


* Transformers 4.18.0
* Pytorch 1.11.0+cu113
* Datasets 2.1.0
* Tokenizers 0.12.1
passage: TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #dataset-sede #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 100### Training results### Framework versions


* Transformers 4.18.0
* Pytorch 1.11.0+cu113
* Datasets 2.1.0
* Tokenizers 0.12.1