update model card README.md

README.md

@@ -2,6 +2,8 @@
 license: apache-2.0
 tags:
 - generated_from_trainer
+datasets:
+- generator
 model-index:
 - name: t5-small-finetuned-NL2ModelioMQ-FR
   results: []
@@ -12,11 +14,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # t5-small-finetuned-NL2ModelioMQ-FR
 
-This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the generator dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.0000
 - Rouge2 Precision: 0.9788
-- Rouge2 Recall: 0.6056
+- Rouge2 Recall: 0.6055
 - Rouge2 Fmeasure: 0.7295
 
 ## Model description
@@ -49,13 +51,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
 |:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
-| 0.009         | 1.0   | 4449  | 0.0001          | 0.9785           | 0.6053        | 0.7292          |
-| 0.0017        | 2.0   | 8898  | 0.0000          | 0.9788           | 0.6056        | 0.7295          |
-| 0.001         | 3.0   | 13347 | 0.0000          | 0.9788           | 0.6056        | 0.7295          |
+| 0.0087        | 1.0   | 4449  | 0.0002          | 0.9787           | 0.6054        | 0.7294          |
+| 0.0017        | 2.0   | 8898  | 0.0000          | 0.9788           | 0.6055        | 0.7295          |
+| 0.0008        | 3.0   | 13347 | 0.0000          | 0.9788           | 0.6055        | 0.7295          |
 
 
 ### Framework versions
 
 - Transformers 4.25.1
 - Pytorch 1.13.0+cu116
+- Datasets 2.7.1
 - Tokenizers 0.13.2