End of training

README.md

@@ -16,7 +16,7 @@ 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 None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.3717
+- Loss: 2.5688
 
 ## Model description
 
@@ -35,7 +35,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0002
+- learning_rate: 5e-05
 - train_batch_size: 1
 - eval_batch_size: 8
 - seed: 42
@@ -44,14 +44,15 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 1
-- training_steps: 50
+- training_steps: 75
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 2.5108        | 0.0   | 25   | 2.3717          |
-| 2.4948        | 0.01  | 50   | 2.3717          |
+| 2.6959        | 0.0   | 25   | 2.6251          |
+| 2.6922        | 0.0   | 50   | 2.5839          |
+| 2.6326        | 0.0   | 75   | 2.5688          |
 
 
 ### Framework versions

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c993254e308dedef777d59b7066c7ec5ba8c88450f6a68b7ad3585da3c32a07f
+oid sha256:a1b5cf36b80154b7006155392df490c145131b196f9cf22d9272161def2fee53
 size 2360848