End of training

README.md

@@ -1,7 +1,7 @@
 ---
 library_name: transformers
-license: apache-2.0
-base_model: distilgpt2
+license: mit
+base_model: gpt2
 tags:
 - generated_from_trainer
 datasets:
@@ -16,9 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # distilgpt2-finetuned-recipe-nlg-generator
 
-This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the recipe_nlg dataset.
+This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the recipe_nlg dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.6507
+- Loss: 2.1789
 
 ## Model description
 
@@ -49,8 +49,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.4097        | 1.0   | 250  | 2.5146          |
-| 0.1179        | 2.0   | 500  | 2.6507          |
+| 0.3823        | 1.0   | 250  | 2.1386          |
+| 0.1593        | 2.0   | 500  | 2.1789          |
 
 
 ### Framework versions

runs/Dec26_14-07-41_4f87fa13cf4f/events.out.tfevents.1735222063.4f87fa13cf4f.45582.0

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+size 6544

runs/Dec26_14-07-41_4f87fa13cf4f/events.out.tfevents.1735222423.4f87fa13cf4f.45582.1

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