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TeeA/T5-Text2SQL-Bilingual

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README.md CHANGED
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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: []
@@ -16,11 +14,16 @@ 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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- - Loss: 1.4095
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- - Rouge1: 0.8431
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- - Rouge2: 0.7496
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- - Rougel: 0.8358
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- - Rougelsum: 0.8364
 
 
 
 
 
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  ## Model description
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@@ -45,25 +48,9 @@ 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: 10
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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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- | 1.6571 | 1.0 | 4389 | 1.5119 | 0.8292 | 0.7219 | 0.8204 | 0.8210 |
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- | 1.6181 | 2.0 | 8778 | 1.4851 | 0.8329 | 0.7293 | 0.8239 | 0.8245 |
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- | 1.6051 | 3.0 | 13167 | 1.4654 | 0.8324 | 0.7313 | 0.8243 | 0.8249 |
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- | 1.5903 | 4.0 | 17556 | 1.4522 | 0.8372 | 0.7396 | 0.8292 | 0.8298 |
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- | 1.5635 | 5.0 | 21945 | 1.4364 | 0.8399 | 0.7438 | 0.8320 | 0.8328 |
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- | 1.5304 | 6.0 | 26334 | 1.4274 | 0.8417 | 0.7455 | 0.8342 | 0.8346 |
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- | 1.5267 | 7.0 | 30723 | 1.4185 | 0.8409 | 0.7453 | 0.8336 | 0.8341 |
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- | 1.5241 | 8.0 | 35112 | 1.4129 | 0.8419 | 0.7480 | 0.8347 | 0.8354 |
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- | 1.5185 | 9.0 | 39501 | 1.4103 | 0.8431 | 0.7496 | 0.8355 | 0.8363 |
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- | 1.5174 | 10.0 | 43890 | 1.4095 | 0.8431 | 0.7496 | 0.8358 | 0.8364 |
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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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  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: []
 
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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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  - 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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