update model card README.md

README.md

@@ -2,8 +2,6 @@
 license: apache-2.0
 tags:
 - generated_from_trainer
-datasets:
-- generator
 model-index:
 - name: t5-small-finetuned-NL2ModelioMQ
   results: []
@@ -14,12 +12,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 # t5-small-finetuned-NL2ModelioMQ
 
-This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the generator dataset.
+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: 0.0000
-- Rouge2 Precision: 0.9789
-- Rouge2 Recall: 0.6056
-- Rouge2 Fmeasure: 0.7296
+- Rouge2 Precision: 0.9788
+- Rouge2 Recall: 0.6053
+- Rouge2 Fmeasure: 0.7294
 
 ## Model description
 
@@ -44,23 +42,20 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 3
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step  | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
 |:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
-| 0.0095        | 1.0   | 4449  | 0.0005          | 0.9702           | 0.6012        | 0.7238          |
-| 0.0015        | 2.0   | 8898  | 0.0000          | 0.9789           | 0.6056        | 0.7296          |
-| 0.0006        | 3.0   | 13347 | 0.0000          | 0.9789           | 0.6056        | 0.7296          |
-| 0.0004        | 4.0   | 17796 | 0.0000          | 0.9789           | 0.6056        | 0.7296          |
-| 0.0003        | 5.0   | 22245 | 0.0000          | 0.9789           | 0.6056        | 0.7296          |
+| 0.0104        | 1.0   | 4449  | 0.0006          | 0.9699           | 0.601         | 0.7235          |
+| 0.002         | 2.0   | 8898  | 0.0000          | 0.9788           | 0.6053        | 0.7294          |
+| 0.001         | 3.0   | 13347 | 0.0000          | 0.9788           | 0.6053        | 0.7294          |
 
 
 ### Framework versions
 
 - Transformers 4.24.0
 - Pytorch 1.12.1+cu113
-- Datasets 2.7.1
 - Tokenizers 0.13.2