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Text2SQL-StudentProject-domain

Text2Text Generation
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TeeA/sT5-text2sql-student-score

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  1. README.md +15 -15
  2. model.safetensors +1 -1
  3. runs/Mar08_15-25-51_ad58ba19cca7/events.out.tfevents.1709912705.ad58ba19cca7.451.2 +3 -0
README.md CHANGED
@@ -17,11 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [cssupport/t5-small-awesome-text-to-sql](https://huggingface.co/cssupport/t5-small-awesome-text-to-sql) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.1285
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- - Rouge1: 0.4284
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- - Rouge2: 0.2870
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- - Rougel: 0.4190
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- - Rougelsum: 0.4200
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  ## Model description
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@@ -53,16 +53,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
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- | No log | 1.0 | 15 | 1.4839 | 0.4099 | 0.2241 | 0.3759 | 0.3776 |
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- | No log | 2.0 | 30 | 1.3820 | 0.4217 | 0.2599 | 0.3999 | 0.4011 |
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- | No log | 3.0 | 45 | 1.3091 | 0.4183 | 0.2608 | 0.4043 | 0.4046 |
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- | No log | 4.0 | 60 | 1.2522 | 0.4173 | 0.2635 | 0.4045 | 0.4047 |
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- | No log | 5.0 | 75 | 1.2117 | 0.4223 | 0.2730 | 0.4108 | 0.4119 |
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- | No log | 6.0 | 90 | 1.1793 | 0.4262 | 0.2740 | 0.4131 | 0.4143 |
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- | No log | 7.0 | 105 | 1.1566 | 0.4326 | 0.2809 | 0.4198 | 0.4209 |
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- | No log | 8.0 | 120 | 1.1413 | 0.4205 | 0.2766 | 0.4122 | 0.4115 |
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- | No log | 9.0 | 135 | 1.1318 | 0.4226 | 0.2802 | 0.4142 | 0.4136 |
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- | No log | 10.0 | 150 | 1.1285 | 0.4284 | 0.2870 | 0.4190 | 0.4200 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [cssupport/t5-small-awesome-text-to-sql](https://huggingface.co/cssupport/t5-small-awesome-text-to-sql) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.9005
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+ - Rouge1: 0.4529
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+ - Rouge2: 0.3258
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+ - Rougel: 0.4443
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+ - Rougelsum: 0.4461
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
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+ | No log | 1.0 | 15 | 1.0750 | 0.4460 | 0.3140 | 0.4356 | 0.4352 |
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+ | No log | 2.0 | 30 | 1.0304 | 0.4506 | 0.3265 | 0.4404 | 0.4411 |
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+ | No log | 3.0 | 45 | 0.9959 | 0.4529 | 0.3287 | 0.4438 | 0.4454 |
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+ | No log | 4.0 | 60 | 0.9662 | 0.4599 | 0.3327 | 0.4487 | 0.4509 |
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+ | No log | 5.0 | 75 | 0.9446 | 0.4589 | 0.3336 | 0.4498 | 0.4516 |
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+ | No log | 6.0 | 90 | 0.9272 | 0.4521 | 0.3272 | 0.4424 | 0.4454 |
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+ | No log | 7.0 | 105 | 0.9151 | 0.4499 | 0.3247 | 0.4413 | 0.4440 |
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+ | No log | 8.0 | 120 | 0.9071 | 0.4510 | 0.3247 | 0.4424 | 0.4446 |
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+ | No log | 9.0 | 135 | 0.9022 | 0.4529 | 0.3258 | 0.4443 | 0.4461 |
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+ | No log | 10.0 | 150 | 0.9005 | 0.4529 | 0.3258 | 0.4443 | 0.4461 |
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  ### Framework versions
model.safetensors CHANGED
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runs/Mar08_15-25-51_ad58ba19cca7/events.out.tfevents.1709912705.ad58ba19cca7.451.2 ADDED
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