update model card README.md

README.md

@@ -11,9 +11,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # plbart-base_finetuned_ut_generator_70000_method2test
 
-This model is a fine-tuned version of [uclanlp/plbart-base](https://huggingface.co/uclanlp/plbart-base) on the None dataset.
+This model was trained from scratch on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2887
+- Loss: 0.2294
 
 ## Model description
 
@@ -38,33 +38,19 @@ 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: 2
+- num_epochs: 1
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss |
-|:-------------:|:-----:|:-----:|:---------------:|
-| 0.489         | 0.13  | 1000  | 0.3544          |
-| 0.37          | 0.25  | 2000  | 0.3377          |
-| 0.3531        | 0.38  | 3000  | 0.3265          |
-| 0.3537        | 0.51  | 4000  | 0.3188          |
-| 0.336         | 0.63  | 5000  | 0.3123          |
-| 0.3333        | 0.76  | 6000  | 0.3073          |
-| 0.3233        | 0.89  | 7000  | 0.3033          |
-| 0.3172        | 1.02  | 8000  | 0.2993          |
-| 0.3059        | 1.14  | 9000  | 0.2968          |
-| 0.3084        | 1.27  | 10000 | 0.2947          |
-| 0.3024        | 1.4   | 11000 | 0.2931          |
-| 0.313         | 1.52  | 12000 | 0.2910          |
-| 0.3042        | 1.65  | 13000 | 0.2900          |
-| 0.3125        | 1.78  | 14000 | 0.2893          |
-| 0.306         | 1.9   | 15000 | 0.2887          |
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.2719        | 1.0   | 12   | 0.2294          |
 
 
 ### Framework versions
 
 - Transformers 4.26.1
-- Pytorch 1.13.1+cu116
+- Pytorch 1.13.1+cu117
 - Datasets 2.10.0
 - Tokenizers 0.13.2