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 [distilgpt2](https://huggingface.co/distilgpt2) on the recipe_nlg dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.2698
+- Loss: 1.1321
 
 ## Model description
 
@@ -43,22 +43,14 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 10
+- num_epochs: 2
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 5.1949        | 1.0   | 250  | 4.0810          |
-| 4.1778        | 2.0   | 500  | 3.6780          |
-| 3.8053        | 3.0   | 750  | 3.5167          |
-| 3.5679        | 4.0   | 1000 | 3.4106          |
-| 3.4079        | 5.0   | 1250 | 3.3506          |
-| 3.279         | 6.0   | 1500 | 3.3068          |
-| 3.212         | 7.0   | 1750 | 3.2812          |
-| 3.104         | 8.0   | 2000 | 3.2761          |
-| 3.0673        | 9.0   | 2250 | 3.2732          |
-| 3.0507        | 10.0  | 2500 | 3.2698          |
+| 1.1047        | 1.0   | 250  | 1.1482          |
+| 0.858         | 2.0   | 500  | 1.1321          |
 
 
 ### Framework versions

runs/Dec26_13-12-32_4f87fa13cf4f/events.out.tfevents.1735218754.4f87fa13cf4f.37465.0

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+size 6647

runs/Dec26_13-12-32_4f87fa13cf4f/events.out.tfevents.1735218989.4f87fa13cf4f.37465.1

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