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 [distilgpt2](https://huggingface.co/distilgpt2) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.6455
+- Loss: 3.4399
 
 ## Model description
 
@@ -35,7 +35,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
+- learning_rate: 0.0002
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
@@ -47,9 +47,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 290  | 3.7059          |
-| 3.8948        | 2.0   | 580  | 3.6574          |
-| 3.8948        | 3.0   | 870  | 3.6455          |
+| No log        | 1.0   | 290  | 3.4870          |
+| 3.6835        | 2.0   | 580  | 3.4477          |
+| 3.6835        | 3.0   | 870  | 3.4399          |
 
 
 ### Framework versions

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:26d7adae00cdda0f77a2cb6f8b8aecf5b44b4095a02ec8fe42c93e3449258cca
+oid sha256:2254a3794148d74dac46dd8c4f6887cbad60b57d7e7a9d71a227a19bc57ee93d
 size 1181192