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: 3.8365
+- Loss: 3.8235
 
 ## Model description
 
@@ -48,14 +48,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 3.9504        | 1.0   | 1308 | 3.8461          |
-| 3.8509        | 2.0   | 2616 | 3.8372          |
-| 3.8114        | 3.0   | 3924 | 3.8365          |
+| 3.946         | 1.0   | 1323 | 3.8340          |
+| 3.8542        | 2.0   | 2646 | 3.8252          |
+| 3.8166        | 3.0   | 3969 | 3.8235          |
 
 
 ### 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_04-17-23_28acd65ec4c0/events.out.tfevents.1724818644.28acd65ec4c0.307.0

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runs/Aug28_04-17-23_28acd65ec4c0/events.out.tfevents.1724819557.28acd65ec4c0.307.1

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