End of training

README.md

@@ -14,6 +14,8 @@ should probably proofread and complete it, then remove this comment. -->
 # distilgpt2-finetuned-general-stories
 
 This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.0063
 
 ## Model description
 
@@ -41,6 +43,22 @@ The following hyperparameters were used during training:
 - num_epochs: 10
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 5.7415        | 1.0   | 2940  | 5.4942          |
+| 5.1216        | 2.0   | 5880  | 4.9520          |
+| 4.7464        | 3.0   | 8820  | 4.6264          |
+| 4.5081        | 4.0   | 11760 | 4.4148          |
+| 4.3457        | 5.0   | 14700 | 4.2677          |
+| 4.2207        | 6.0   | 17640 | 4.1709          |
+| 4.1182        | 7.0   | 20580 | 4.0961          |
+| 4.0599        | 8.0   | 23520 | 4.0473          |
+| 4.0235        | 9.0   | 26460 | 4.0176          |
+| 3.9931        | 10.0  | 29400 | 4.0063          |
+
+
 ### Framework versions
 
 - Transformers 4.40.0

model.safetensors

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 size 327657928

runs/Apr20_03-59-17_instance-20240420-041200/events.out.tfevents.1713585558.instance-20240420-041200

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