pedrogarcias
/

t5-small-finetuned-wikisql

Text2Text Generation

Generated from Trainer

text-generation-inference

Model card Files Files and versions Metrics Training metrics Community

pedrogarcias commited on Jan 18, 2023

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update model card README.md

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@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [unicamp-dl/ptt5-base-t5-vocab](https://huggingface.co/unicamp-dl/ptt5-base-t5-vocab) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 10.5445
 - Rouge2 Precision: 0.0429
 - Rouge2 Recall: 0.0139
 - Rouge2 Fmeasure: 0.021
@@ -49,11 +49,11 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
 |:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
-| No log        | 1.0   | 2    | 28.1140         | 0.0429           | 0.0139        | 0.021           |
-| No log        | 2.0   | 4    | 22.9401         | 0.0429           | 0.0139        | 0.021           |
-| No log        | 3.0   | 6    | 15.2867         | 0.0429           | 0.0139        | 0.021           |
-| No log        | 4.0   | 8    | 12.0133         | 0.0429           | 0.0139        | 0.021           |
-| No log        | 5.0   | 10   | 10.5445         | 0.0429           | 0.0139        | 0.021           |
 ### Framework versions

 This model is a fine-tuned version of [unicamp-dl/ptt5-base-t5-vocab](https://huggingface.co/unicamp-dl/ptt5-base-t5-vocab) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 3.1636
 - Rouge2 Precision: 0.0429
 - Rouge2 Recall: 0.0139
 - Rouge2 Fmeasure: 0.021
 | Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
 |:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
+| No log        | 1.0   | 2    | 10.5445         | 0.0429           | 0.0139        | 0.021           |
+| No log        | 2.0   | 4    | 7.0508          | 0.0429           | 0.0139        | 0.021           |
+| No log        | 3.0   | 6    | 5.0775          | 0.0429           | 0.0139        | 0.021           |
+| No log        | 4.0   | 8    | 3.9094          | 0.0429           | 0.0139        | 0.021           |
+| No log        | 5.0   | 10   | 3.1636          | 0.0429           | 0.0139        | 0.021           |
 ### Framework versions