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: 3.9243
+- Loss: 3.9296
 
 ## Model description
 
@@ -49,9 +49,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 282  | 3.9230          |
-| 3.9671        | 2.0   | 564  | 3.9234          |
-| 3.9671        | 3.0   | 846  | 3.9243          |
+| No log        | 1.0   | 270  | 3.9288          |
+| 3.9605        | 2.0   | 540  | 3.9270          |
+| 3.9605        | 3.0   | 810  | 3.9296          |
 
 
 ### Framework versions

runs/Sep11_00-02-26_a4bf01945d25.jf.intel.com/events.out.tfevents.1726038150.a4bf01945d25.jf.intel.com.433654.0

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+size 6716

runs/Sep11_00-02-26_a4bf01945d25.jf.intel.com/events.out.tfevents.1726038218.a4bf01945d25.jf.intel.com.433654.1

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+version https://git-lfs.github.com/spec/v1
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