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Anukul1
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t5-small-finetuned-wikisql

Text2Text Generation
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Safetensors
t5
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text-generation-inference
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@@ -19,16 +19,16 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the wikisql dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.1247
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- - Model Preparation Time: 0.0028
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  - Rouge1 Precision: 0.873
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  - Rouge1 Recall: 0.873
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  - Rouge1 Fmeasure: 0.873
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  - Rouge2 Precision: 0.7718
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  - Rouge2 Recall: 0.7718
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  - Rouge2 Fmeasure: 0.7718
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- - Rougel Precision: 0.8599
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- - Rougel Recall: 0.8599
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- - Rougel Fmeasure: 0.8599
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  ## Model description
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@@ -59,11 +59,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Rouge1 Precision | Rouge1 Recall | Rouge1 Fmeasure | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure | Rougel Precision | Rougel Recall | Rougel Fmeasure |
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  |:-------------:|:-----:|:-----:|:---------------:|:----------------------:|:----------------:|:-------------:|:---------------:|:----------------:|:-------------:|:---------------:|:----------------:|:-------------:|:---------------:|
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- | 0.1942 | 1.0 | 4049 | 0.1561 | 0.0028 | 0.863 | 0.863 | 0.863 | 0.7471 | 0.7471 | 0.7471 | 0.847 | 0.847 | 0.847 |
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- | 0.1646 | 2.0 | 8098 | 0.1373 | 0.0028 | 0.8698 | 0.8698 | 0.8698 | 0.763 | 0.763 | 0.763 | 0.8554 | 0.8554 | 0.8554 |
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- | 0.147 | 3.0 | 12147 | 0.1297 | 0.0028 | 0.8723 | 0.8723 | 0.8723 | 0.7684 | 0.7684 | 0.7684 | 0.8587 | 0.8587 | 0.8587 |
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- | 0.1412 | 4.0 | 16196 | 0.1256 | 0.0028 | 0.8725 | 0.8725 | 0.8725 | 0.7712 | 0.7712 | 0.7712 | 0.8594 | 0.8594 | 0.8594 |
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- | 0.14 | 5.0 | 20245 | 0.1247 | 0.0028 | 0.873 | 0.873 | 0.873 | 0.7718 | 0.7718 | 0.7718 | 0.8599 | 0.8599 | 0.8599 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the wikisql dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.1247
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+ - Model Preparation Time: 0.0049
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  - Rouge1 Precision: 0.873
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  - Rouge1 Recall: 0.873
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  - Rouge1 Fmeasure: 0.873
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  - Rouge2 Precision: 0.7718
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  - Rouge2 Recall: 0.7718
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  - Rouge2 Fmeasure: 0.7718
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+ - Rougel Precision: 0.86
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+ - Rougel Recall: 0.86
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+ - Rougel Fmeasure: 0.86
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Rouge1 Precision | Rouge1 Recall | Rouge1 Fmeasure | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure | Rougel Precision | Rougel Recall | Rougel Fmeasure |
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  |:-------------:|:-----:|:-----:|:---------------:|:----------------------:|:----------------:|:-------------:|:---------------:|:----------------:|:-------------:|:---------------:|:----------------:|:-------------:|:---------------:|
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+ | 0.1942 | 1.0 | 4049 | 0.1561 | 0.0049 | 0.8629 | 0.8629 | 0.8629 | 0.7471 | 0.7471 | 0.7471 | 0.8471 | 0.8471 | 0.8471 |
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+ | 0.1646 | 2.0 | 8098 | 0.1373 | 0.0049 | 0.8697 | 0.8697 | 0.8697 | 0.763 | 0.763 | 0.763 | 0.8555 | 0.8555 | 0.8555 |
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+ | 0.147 | 3.0 | 12147 | 0.1297 | 0.0049 | 0.8723 | 0.8723 | 0.8723 | 0.7684 | 0.7684 | 0.7684 | 0.8588 | 0.8588 | 0.8588 |
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+ | 0.1412 | 4.0 | 16196 | 0.1256 | 0.0049 | 0.8725 | 0.8725 | 0.8725 | 0.7712 | 0.7712 | 0.7712 | 0.8595 | 0.8595 | 0.8595 |
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+ | 0.14 | 5.0 | 20245 | 0.1247 | 0.0049 | 0.873 | 0.873 | 0.873 | 0.7718 | 0.7718 | 0.7718 | 0.86 | 0.86 | 0.86 |
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  ### Framework versions