End of training

README.md

@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert/distilgpt2](https://huggingface.co/distilbert/distilgpt2) on the eli5_category dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.8341
+- Loss: 3.9243
 
 ## Model description
 
@@ -49,9 +49,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 3.952         | 1.0   | 1321 | 3.8483          |
-| 3.8429        | 2.0   | 2642 | 3.8352          |
-| 3.811         | 3.0   | 3963 | 3.8341          |
+| No log        | 1.0   | 282  | 3.9230          |
+| 3.9671        | 2.0   | 564  | 3.9234          |
+| 3.9671        | 3.0   | 846  | 3.9243          |
 
 
 ### Framework versions

runs/Sep10_23-51-17_a4bf01945d25.jf.intel.com/events.out.tfevents.1726037481.a4bf01945d25.jf.intel.com.424034.0

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+size 6716

runs/Sep10_23-51-17_a4bf01945d25.jf.intel.com/events.out.tfevents.1726037537.a4bf01945d25.jf.intel.com.424034.1

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