JuanCadavid
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t5-small-finetuned-NL2ModelioMQ

text2text-generation

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text-generation-inference

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JuanCadavid commited on Nov 8, 2022

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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 [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.5534
 - Rouge2 Precision: 0.0
 - Rouge2 Recall: 0.0
 - Rouge2 Fmeasure: 0.0
@@ -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   | 1    | 5.4054          | 0.0              | 0.0           | 0.0             |
-| No log        | 2.0   | 2    | 5.4054          | 0.0              | 0.0           | 0.0             |
-| No log        | 3.0   | 3    | 4.5700          | 0.0              | 0.0           | 0.0             |
-| No log        | 4.0   | 4    | 3.8548          | 0.0              | 0.0           | 0.0             |
-| No log        | 5.0   | 5    | 3.5534          | 0.0              | 0.0           | 0.0             |
 ### Framework versions

 This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 2.6907
 - Rouge2 Precision: 0.0
 - Rouge2 Recall: 0.0
 - Rouge2 Fmeasure: 0.0
 | Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
 |:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
+| No log        | 1.0   | 1    | 3.9863          | 0.0              | 0.0           | 0.0             |
+| No log        | 2.0   | 2    | 3.1873          | 0.0              | 0.0           | 0.0             |
+| No log        | 3.0   | 3    | 3.1873          | 0.0              | 0.0           | 0.0             |
+| No log        | 4.0   | 4    | 3.1873          | 0.0              | 0.0           | 0.0             |
+| No log        | 5.0   | 5    | 2.6907          | 0.0              | 0.0           | 0.0             |
 ### Framework versions