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: 3.5116
+- Loss: 3.3055
 
 ## Model description
 
@@ -34,19 +34,30 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 64
-- eval_batch_size: 64
+- 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: 1
+- num_epochs: 8
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss |
-|:-------------:|:-----:|:-----:|:---------------:|
-| 3.7357        | 1.0   | 13655 | 3.6781          |
-| 3.5721        | 2.0   | 27310 | 3.5302          |
+| Training Loss | Epoch | Step   | Validation Loss |
+|:-------------:|:-----:|:------:|:---------------:|
+| 3.7357        | 1.0   | 13655  | 3.6781          |
+| 3.5721        | 2.0   | 27310  | 3.5302          |
+| 3.4961        | 3.0   | 40965  | 3.4658          |
+| 3.4406        | 4.0   | 54620  | 3.4242          |
+| 3.4043        | 5.0   | 68275  | 3.3943          |
+| 3.3789        | 6.0   | 81930  | 3.3726          |
+| 3.3576        | 7.0   | 95585  | 3.3538          |
+| 3.3389        | 8.0   | 109240 | 3.3389          |
+| 3.3151        | 9.0   | 122895 | 3.3270          |
+| 3.314         | 5.0   | 136545 | 3.3226          |
+| 3.3044        | 6.0   | 163854 | 3.3124          |
+| 3.2931        | 7.0   | 191163 | 3.3078          |
+| 3.2874        | 8.0   | 218472 | 3.3055          |
 
 
 ### Framework versions