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: 4.4498
+- Loss: 6.0133
 
 ## Model description
 
@@ -43,15 +43,23 @@ 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: 2
+- num_epochs: 10
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 5.7279        | 1.0   | 256  | 4.4997          |
-| 4.9661        | 2.0   | 512  | 4.4498          |
+| 7.0675        | 1.0   | 256  | 5.7808          |
+| 6.0315        | 2.0   | 512  | 5.7849          |
+| 5.8136        | 3.0   | 768  | 5.8173          |
+| 5.6857        | 4.0   | 1024 | 5.8658          |
+| 5.6426        | 5.0   | 1280 | 5.9132          |
+| 5.5854        | 6.0   | 1536 | 5.9587          |
+| 5.5609        | 7.0   | 1792 | 5.9801          |
+| 5.5196        | 8.0   | 2048 | 5.9917          |
+| 5.4844        | 9.0   | 2304 | 6.0054          |
+| 5.5273        | 10.0  | 2560 | 6.0133          |
 
 
 ### Framework versions

model.safetensors

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