update model card README.md

README.md

@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1469
+- Loss: 0.8705
 
 ## Model description
 
@@ -33,20 +33,21 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- learning_rate: 0.001
+- train_batch_size: 32
+- eval_batch_size: 32
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step  | Validation Loss |
 |:-------------:|:-----:|:-----:|:---------------:|
-| 1.287         | 1.0   | 7529  | 1.1965          |
-| 1.2301        | 2.0   | 15058 | 1.1469          |
+| 0.9655        | 1.0   | 17714 | 0.9472          |
+| 0.9121        | 2.0   | 35428 | 0.8986          |
+| 0.8682        | 3.0   | 53142 | 0.8705          |
 
 
 ### Framework versions