update model card README.md

README.md

@@ -14,9 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [alexsha/t5-large-finetuned-English-to-BASH](https://huggingface.co/alexsha/t5-large-finetuned-English-to-BASH) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6790
-- Nl2bash M: 0.8878
-- Gen Len: 13.5207
+- Loss: 0.7159
+- Nl2bash M: 0.8822
+- Gen Len: 13.4256
 
 ## Model description
 
@@ -35,21 +35,23 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 6e-05
+- learning_rate: 3e-05
 - train_batch_size: 5
 - eval_batch_size: 5
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Nl2bash M | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
-| No log        | 1.0   | 387  | 0.6405          | 0.8927    | 13.3223 |
-| 0.0699        | 2.0   | 774  | 0.6508          | 0.8898    | 13.5207 |
-| 0.0578        | 3.0   | 1161 | 0.6790          | 0.8878    | 13.5207 |
+| No log        | 1.0   | 387  | 0.7666          | 0.8897    | 13.2314 |
+| 0.0177        | 2.0   | 774  | 0.7878          | 0.887     | 13.3512 |
+| 0.0188        | 3.0   | 1161 | 0.7580          | 0.8872    | 13.5661 |
+| 0.0461        | 4.0   | 1548 | 0.7121          | 0.8846    | 13.3926 |
+| 0.0461        | 5.0   | 1935 | 0.7159          | 0.8822    | 13.4256 |
 
 
 ### Framework versions