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Text2SQL-Bilingual

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t5
text2text-generation
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TeeA/T5-Text2SQL-Bilingual

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  1. README.md +64 -11
  2. model.safetensors +1 -1
  3. runs/Mar14_17-53-05_93d9bb2a2352/events.out.tfevents.1710438788.93d9bb2a2352.1838.1 +3 -0
  4. tokenizer.json +8 -1
  5. training_args.bin +1 -1
README.md CHANGED
@@ -2,6 +2,8 @@
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  base_model: TeeA/T5-Text2SQL-Bilingual
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: Text2SQL-Bilingual
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  results: []
@@ -14,16 +16,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [TeeA/T5-Text2SQL-Bilingual](https://huggingface.co/TeeA/T5-Text2SQL-Bilingual) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - eval_loss: 1.2513
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- - eval_rouge1: 0.8631
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- - eval_rouge2: 0.7804
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- - eval_rougeL: 0.8537
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- - eval_rougeLsum: 0.8528
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- - eval_runtime: 34.356
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- - eval_samples_per_second: 14.553
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- - eval_steps_per_second: 3.638
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- - epoch: 12.0
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- - step: 52668
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  ## Model description
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@@ -48,9 +45,65 @@ 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: 20
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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  - Transformers 4.38.2
 
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  base_model: TeeA/T5-Text2SQL-Bilingual
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  tags:
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  - generated_from_trainer
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+ metrics:
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+ - rouge
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  model-index:
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  - name: Text2SQL-Bilingual
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  results: []
 
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  This model is a fine-tuned version of [TeeA/T5-Text2SQL-Bilingual](https://huggingface.co/TeeA/T5-Text2SQL-Bilingual) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.0018
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+ - Rouge1: 0.8820
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+ - Rouge2: 0.8188
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+ - Rougel: 0.8750
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+ - Rougelsum: 0.8750
 
 
 
 
 
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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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  - mixed_precision_training: Native AMP
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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+ |:-------------:|:-----:|:------:|:---------------:|:------:|:------:|:------:|:---------:|
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+ | 1.3182 | 1.0 | 4389 | 1.2317 | 0.8648 | 0.7817 | 0.8552 | 0.8551 |
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+ | 1.2945 | 2.0 | 8778 | 1.2231 | 0.8647 | 0.7827 | 0.8562 | 0.8566 |
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+ | 1.2952 | 3.0 | 13167 | 1.2126 | 0.8680 | 0.7884 | 0.8590 | 0.8589 |
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+ | 1.2712 | 4.0 | 17556 | 1.1972 | 0.8651 | 0.7855 | 0.8566 | 0.8566 |
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+ | 1.2547 | 5.0 | 21945 | 1.1891 | 0.8703 | 0.7916 | 0.8608 | 0.8611 |
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+ | 1.2414 | 6.0 | 26334 | 1.1771 | 0.8709 | 0.7942 | 0.8621 | 0.8618 |
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+ | 1.2111 | 7.0 | 30723 | 1.1675 | 0.8719 | 0.7964 | 0.8640 | 0.8641 |
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+ | 1.2218 | 8.0 | 35112 | 1.1567 | 0.8699 | 0.7932 | 0.8620 | 0.8619 |
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+ | 1.2086 | 9.0 | 39501 | 1.1489 | 0.8739 | 0.7999 | 0.8655 | 0.8654 |
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+ | 1.1895 | 10.0 | 43890 | 1.1390 | 0.8724 | 0.7992 | 0.8657 | 0.8655 |
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+ | 1.1916 | 11.0 | 48279 | 1.1305 | 0.8757 | 0.8012 | 0.8679 | 0.8678 |
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+ | 1.1837 | 12.0 | 52668 | 1.1208 | 0.8750 | 0.8025 | 0.8677 | 0.8673 |
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+ | 1.169 | 13.0 | 57057 | 1.1146 | 0.8774 | 0.8069 | 0.8705 | 0.8702 |
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+ | 1.1581 | 14.0 | 61446 | 1.1097 | 0.8772 | 0.8075 | 0.8705 | 0.8702 |
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+ | 1.1552 | 15.0 | 65835 | 1.1028 | 0.8769 | 0.8062 | 0.8698 | 0.8697 |
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+ | 1.1628 | 16.0 | 70224 | 1.0941 | 0.8765 | 0.8051 | 0.8692 | 0.8695 |
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+ | 1.1429 | 17.0 | 74613 | 1.0869 | 0.8780 | 0.8077 | 0.8705 | 0.8707 |
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+ | 1.1403 | 18.0 | 79002 | 1.0827 | 0.8786 | 0.8107 | 0.8715 | 0.8715 |
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+ | 1.114 | 19.0 | 83391 | 1.0781 | 0.8796 | 0.8101 | 0.8714 | 0.8716 |
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+ | 1.1131 | 20.0 | 87780 | 1.0738 | 0.8797 | 0.8116 | 0.8720 | 0.8723 |
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+ | 1.1205 | 21.0 | 92169 | 1.0679 | 0.8791 | 0.8110 | 0.8718 | 0.8719 |
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+ | 1.1089 | 22.0 | 96558 | 1.0647 | 0.8781 | 0.8105 | 0.8702 | 0.8706 |
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+ | 1.0958 | 23.0 | 100947 | 1.0583 | 0.8776 | 0.8095 | 0.8706 | 0.8707 |
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+ | 1.0923 | 24.0 | 105336 | 1.0546 | 0.8803 | 0.8130 | 0.8729 | 0.8730 |
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+ | 1.0974 | 25.0 | 109725 | 1.0491 | 0.8786 | 0.8104 | 0.8718 | 0.8719 |
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+ | 1.0942 | 26.0 | 114114 | 1.0465 | 0.8819 | 0.8168 | 0.8755 | 0.8753 |
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+ | 1.0719 | 27.0 | 118503 | 1.0434 | 0.8789 | 0.8122 | 0.8715 | 0.8714 |
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+ | 1.0786 | 28.0 | 122892 | 1.0397 | 0.8795 | 0.8134 | 0.8721 | 0.8723 |
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+ | 1.0789 | 29.0 | 127281 | 1.0368 | 0.8791 | 0.8124 | 0.8717 | 0.8718 |
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+ | 1.0567 | 30.0 | 131670 | 1.0331 | 0.8815 | 0.8165 | 0.8752 | 0.8753 |
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+ | 1.0708 | 31.0 | 136059 | 1.0298 | 0.8793 | 0.8143 | 0.8728 | 0.8727 |
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+ | 1.0601 | 32.0 | 140448 | 1.0249 | 0.8794 | 0.8148 | 0.8731 | 0.8731 |
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+ | 1.0573 | 33.0 | 144837 | 1.0247 | 0.8790 | 0.8159 | 0.8729 | 0.8729 |
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+ | 1.0586 | 34.0 | 149226 | 1.0202 | 0.8783 | 0.8143 | 0.8720 | 0.8719 |
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+ | 1.0569 | 35.0 | 153615 | 1.0179 | 0.8807 | 0.8172 | 0.8738 | 0.8737 |
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+ | 1.0591 | 36.0 | 158004 | 1.0168 | 0.8803 | 0.8156 | 0.8733 | 0.8734 |
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+ | 1.0579 | 37.0 | 162393 | 1.0153 | 0.8808 | 0.8170 | 0.8741 | 0.8738 |
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+ | 1.0401 | 38.0 | 166782 | 1.0129 | 0.8801 | 0.8170 | 0.8736 | 0.8736 |
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+ | 1.0316 | 39.0 | 171171 | 1.0110 | 0.8802 | 0.8166 | 0.8733 | 0.8733 |
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+ | 1.0264 | 40.0 | 175560 | 1.0091 | 0.8814 | 0.8181 | 0.8744 | 0.8744 |
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+ | 1.051 | 41.0 | 179949 | 1.0066 | 0.8801 | 0.8174 | 0.8733 | 0.8731 |
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+ | 1.0365 | 42.0 | 184338 | 1.0059 | 0.8823 | 0.8196 | 0.8754 | 0.8753 |
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+ | 1.054 | 43.0 | 188727 | 1.0049 | 0.8805 | 0.8169 | 0.8734 | 0.8735 |
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+ | 1.0287 | 44.0 | 193116 | 1.0051 | 0.8839 | 0.8216 | 0.8769 | 0.8769 |
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+ | 1.0293 | 45.0 | 197505 | 1.0040 | 0.8837 | 0.8209 | 0.8769 | 0.8770 |
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+ | 1.0315 | 46.0 | 201894 | 1.0025 | 0.8820 | 0.8184 | 0.8751 | 0.8751 |
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+ | 1.0362 | 47.0 | 206283 | 1.0022 | 0.8820 | 0.8191 | 0.8754 | 0.8754 |
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+ | 1.0291 | 48.0 | 210672 | 1.0015 | 0.8824 | 0.8192 | 0.8751 | 0.8752 |
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+ | 1.0246 | 49.0 | 215061 | 1.0019 | 0.8821 | 0.8192 | 0.8752 | 0.8753 |
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+ | 1.0355 | 50.0 | 219450 | 1.0018 | 0.8820 | 0.8188 | 0.8750 | 0.8750 |
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+
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+
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  ### Framework versions
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  - Transformers 4.38.2
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