End of training

README.md

@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.4500
+- Loss: 2.4813
 
 ## Model description
 
@@ -35,8 +35,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 8
-- eval_batch_size: 4
+- train_batch_size: 64
+- eval_batch_size: 64
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -47,16 +47,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 84   | 2.6146          |
-| No log        | 2.0   | 168  | 2.5488          |
-| No log        | 3.0   | 252  | 2.5136          |
-| No log        | 4.0   | 336  | 2.4924          |
-| No log        | 5.0   | 420  | 2.4777          |
-| 2.6089        | 6.0   | 504  | 2.4665          |
-| 2.6089        | 7.0   | 588  | 2.4599          |
-| 2.6089        | 8.0   | 672  | 2.4540          |
-| 2.6089        | 9.0   | 756  | 2.4509          |
-| 2.6089        | 10.0  | 840  | 2.4500          |
+| No log        | 1.0   | 58   | 2.7538          |
+| No log        | 2.0   | 116  | 2.6483          |
+| No log        | 3.0   | 174  | 2.5928          |
+| No log        | 4.0   | 232  | 2.5566          |
+| No log        | 5.0   | 290  | 2.5312          |
+| No log        | 6.0   | 348  | 2.5121          |
+| No log        | 7.0   | 406  | 2.4979          |
+| No log        | 8.0   | 464  | 2.4889          |
+| 2.6537        | 9.0   | 522  | 2.4830          |
+| 2.6537        | 10.0  | 580  | 2.4813          |
 
 
 ### Framework versions