End of training

README.md

@@ -17,7 +17,7 @@ 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: 3.7748
+- Loss: 3.7740
 
 ## Model description
 
@@ -48,14 +48,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 1    | 3.7735          |
-| No log        | 2.0   | 2    | 3.7743          |
-| No log        | 3.0   | 3    | 3.7748          |
+| No log        | 1.0   | 1    | 3.7728          |
+| No log        | 2.0   | 2    | 3.7735          |
+| No log        | 3.0   | 3    | 3.7740          |
 
 
 ### Framework versions
 
 - Transformers 4.42.4
-- Pytorch 2.3.1+cu121
+- Pytorch 2.4.0+cu121
 - Datasets 2.21.0
 - Tokenizers 0.19.1

runs/Aug28_07-03-59_f0b6c09af1ef/events.out.tfevents.1724828640.f0b6c09af1ef.466.0

@@ -1,3 +1,3 @@
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+size 6354

runs/Aug28_07-03-59_f0b6c09af1ef/events.out.tfevents.1724828728.f0b6c09af1ef.466.1

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