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t5-text2sql

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text2text-generation
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text-generation-inference
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  ---
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- license: apache-2.0
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  tags:
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  - generated_from_trainer
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  model-index:
@@ -12,12 +11,12 @@ should probably proofread and complete it, then remove this comment. -->
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  # t5-text2sql
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- This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1268
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- - Rouge2 Precision: 0.9167
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- - Rouge2 Recall: 0.2781
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- - Rouge2 Fmeasure: 0.3925
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  ## Model description
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@@ -42,42 +41,62 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 30
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
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  |:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
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- | No log | 1.0 | 11 | 1.2360 | 0.0068 | 0.0008 | 0.0014 |
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- | No log | 2.0 | 22 | 0.6550 | 0.2068 | 0.0413 | 0.0677 |
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- | No log | 3.0 | 33 | 0.3995 | 0.6135 | 0.205 | 0.2893 |
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- | No log | 4.0 | 44 | 0.2969 | 0.7276 | 0.2265 | 0.3192 |
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- | No log | 5.0 | 55 | 0.2517 | 0.8066 | 0.2526 | 0.3522 |
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- | No log | 6.0 | 66 | 0.2263 | 0.8161 | 0.2537 | 0.3543 |
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- | No log | 7.0 | 77 | 0.2114 | 0.8536 | 0.2606 | 0.368 |
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- | No log | 8.0 | 88 | 0.1908 | 0.8353 | 0.2486 | 0.3553 |
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- | No log | 9.0 | 99 | 0.1847 | 0.8525 | 0.2579 | 0.3657 |
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- | No log | 10.0 | 110 | 0.1735 | 0.8321 | 0.2573 | 0.3604 |
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- | No log | 11.0 | 121 | 0.1688 | 0.8508 | 0.2634 | 0.3685 |
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- | No log | 12.0 | 132 | 0.1628 | 0.8712 | 0.2622 | 0.3721 |
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- | No log | 13.0 | 143 | 0.1561 | 0.8389 | 0.2577 | 0.3614 |
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- | No log | 14.0 | 154 | 0.1575 | 0.9008 | 0.2757 | 0.3872 |
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- | No log | 15.0 | 165 | 0.1515 | 0.8968 | 0.2737 | 0.3855 |
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- | No log | 16.0 | 176 | 0.1441 | 0.9087 | 0.2771 | 0.3895 |
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- | No log | 17.0 | 187 | 0.1415 | 0.9087 | 0.2771 | 0.3895 |
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- | No log | 18.0 | 198 | 0.1399 | 0.8948 | 0.2656 | 0.3772 |
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- | No log | 19.0 | 209 | 0.1381 | 0.9087 | 0.2771 | 0.3895 |
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- | No log | 20.0 | 220 | 0.1367 | 0.9087 | 0.2771 | 0.3895 |
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- | No log | 21.0 | 231 | 0.1332 | 0.9087 | 0.2771 | 0.3895 |
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- | No log | 22.0 | 242 | 0.1316 | 0.9087 | 0.2771 | 0.3895 |
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- | No log | 23.0 | 253 | 0.1309 | 0.9087 | 0.2771 | 0.3895 |
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- | No log | 24.0 | 264 | 0.1294 | 0.9087 | 0.2771 | 0.3895 |
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- | No log | 25.0 | 275 | 0.1294 | 0.9167 | 0.2781 | 0.3925 |
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- | No log | 26.0 | 286 | 0.1294 | 0.9167 | 0.2781 | 0.3925 |
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- | No log | 27.0 | 297 | 0.1291 | 0.9226 | 0.2788 | 0.3937 |
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- | No log | 28.0 | 308 | 0.1277 | 0.9167 | 0.2781 | 0.3925 |
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- | No log | 29.0 | 319 | 0.1269 | 0.9167 | 0.2781 | 0.3925 |
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- | No log | 30.0 | 330 | 0.1268 | 0.9167 | 0.2781 | 0.3925 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  ---
 
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  tags:
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  - generated_from_trainer
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  model-index:
 
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  # t5-text2sql
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+ This model was trained from scratch on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1307
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+ - Rouge2 Precision: 0.9107
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+ - Rouge2 Recall: 0.2699
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+ - Rouge2 Fmeasure: 0.3853
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 50
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
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  |:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
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+ | No log | 1.0 | 11 | 0.1513 | 0.9127 | 0.2859 | 0.4019 |
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+ | No log | 2.0 | 22 | 0.1223 | 0.8532 | 0.2632 | 0.369 |
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+ | No log | 3.0 | 33 | 0.1378 | 0.8948 | 0.2684 | 0.3816 |
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+ | No log | 4.0 | 44 | 0.1218 | 0.9067 | 0.2692 | 0.3844 |
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+ | No log | 5.0 | 55 | 0.1331 | 0.9048 | 0.2684 | 0.3835 |
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+ | No log | 6.0 | 66 | 0.1265 | 0.8948 | 0.2667 | 0.3796 |
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+ | No log | 7.0 | 77 | 0.1300 | 0.9127 | 0.2865 | 0.4003 |
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+ | No log | 8.0 | 88 | 0.1317 | 0.8835 | 0.2623 | 0.3729 |
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+ | No log | 9.0 | 99 | 0.1313 | 0.9008 | 0.2679 | 0.3815 |
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+ | No log | 10.0 | 110 | 0.1253 | 0.9008 | 0.2679 | 0.3815 |
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+ | No log | 11.0 | 121 | 0.1277 | 0.9048 | 0.2685 | 0.3829 |
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+ | No log | 12.0 | 132 | 0.1275 | 0.8988 | 0.2673 | 0.3809 |
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+ | No log | 13.0 | 143 | 0.1226 | 0.8829 | 0.2636 | 0.3746 |
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+ | No log | 14.0 | 154 | 0.1254 | 0.8948 | 0.2667 | 0.3796 |
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+ | No log | 15.0 | 165 | 0.1332 | 0.9048 | 0.2684 | 0.3835 |
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+ | No log | 16.0 | 176 | 0.1219 | 0.8821 | 0.2625 | 0.3733 |
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+ | No log | 17.0 | 187 | 0.1274 | 0.8988 | 0.2673 | 0.3809 |
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+ | No log | 18.0 | 198 | 0.1328 | 0.8948 | 0.2667 | 0.3796 |
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+ | No log | 19.0 | 209 | 0.1315 | 0.8948 | 0.2667 | 0.3796 |
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+ | No log | 20.0 | 220 | 0.1259 | 0.8948 | 0.2667 | 0.3796 |
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+ | No log | 21.0 | 231 | 0.1298 | 0.8948 | 0.2667 | 0.3796 |
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+ | No log | 22.0 | 242 | 0.1268 | 0.9028 | 0.2685 | 0.3821 |
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+ | No log | 23.0 | 253 | 0.1287 | 0.9028 | 0.2685 | 0.3821 |
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+ | No log | 24.0 | 264 | 0.1296 | 0.9107 | 0.2699 | 0.3853 |
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+ | No log | 25.0 | 275 | 0.1220 | 0.9107 | 0.2699 | 0.3853 |
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+ | No log | 26.0 | 286 | 0.1292 | 0.9107 | 0.2701 | 0.3859 |
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+ | No log | 27.0 | 297 | 0.1296 | 0.9107 | 0.2699 | 0.3853 |
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+ | No log | 28.0 | 308 | 0.1270 | 0.9107 | 0.2699 | 0.3853 |
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+ | No log | 29.0 | 319 | 0.1233 | 0.9107 | 0.2699 | 0.3853 |
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+ | No log | 30.0 | 330 | 0.1247 | 0.9048 | 0.2684 | 0.3835 |
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+ | No log | 31.0 | 341 | 0.1209 | 0.9028 | 0.2685 | 0.3821 |
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+ | No log | 32.0 | 352 | 0.1236 | 0.9028 | 0.2685 | 0.3821 |
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+ | No log | 33.0 | 363 | 0.1312 | 0.9028 | 0.2685 | 0.3821 |
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+ | No log | 34.0 | 374 | 0.1340 | 0.9028 | 0.2685 | 0.3821 |
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+ | No log | 35.0 | 385 | 0.1237 | 0.9028 | 0.2685 | 0.3821 |
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+ | No log | 36.0 | 396 | 0.1234 | 0.9028 | 0.2685 | 0.3821 |
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+ | No log | 37.0 | 407 | 0.1255 | 0.9028 | 0.2685 | 0.3821 |
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+ | No log | 38.0 | 418 | 0.1274 | 0.9028 | 0.2685 | 0.3821 |
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+ | No log | 39.0 | 429 | 0.1270 | 0.9028 | 0.2685 | 0.3821 |
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+ | No log | 40.0 | 440 | 0.1263 | 0.9028 | 0.2685 | 0.3821 |
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+ | No log | 41.0 | 451 | 0.1274 | 0.9028 | 0.2685 | 0.3821 |
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+ | No log | 42.0 | 462 | 0.1267 | 0.9107 | 0.2699 | 0.3853 |
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+ | No log | 43.0 | 473 | 0.1287 | 0.9107 | 0.2699 | 0.3853 |
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+ | No log | 44.0 | 484 | 0.1312 | 0.9107 | 0.2699 | 0.3853 |
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+ | No log | 45.0 | 495 | 0.1314 | 0.9107 | 0.2699 | 0.3853 |
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+ | 0.0146 | 46.0 | 506 | 0.1317 | 0.9107 | 0.2699 | 0.3853 |
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+ | 0.0146 | 47.0 | 517 | 0.1314 | 0.9107 | 0.2699 | 0.3853 |
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+ | 0.0146 | 48.0 | 528 | 0.1313 | 0.9107 | 0.2699 | 0.3853 |
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+ | 0.0146 | 49.0 | 539 | 0.1308 | 0.9107 | 0.2699 | 0.3853 |
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+ | 0.0146 | 50.0 | 550 | 0.1307 | 0.9107 | 0.2699 | 0.3853 |
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  ### Framework versions