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 [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 4.6973
+- Loss: 4.4868
 
 ## Model description
 
@@ -49,11 +49,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step   | Validation Loss |
 |:-------------:|:-----:|:------:|:---------------:|
-| 5.0283        | 1.0   | 22021  | 4.8382          |
-| 4.8058        | 2.0   | 44042  | 4.7434          |
-| 4.6278        | 3.0   | 66063  | 4.7056          |
-| 4.52          | 4.0   | 88084  | 4.6970          |
-| 4.4343        | 5.0   | 110105 | 4.6973          |
+| 4.8154        | 1.0   | 35083  | 4.6313          |
+| 4.5946        | 2.0   | 70166  | 4.5370          |
+| 4.4399        | 3.0   | 105249 | 4.5002          |
+| 4.3554        | 4.0   | 140332 | 4.4852          |
+| 4.2637        | 5.0   | 175415 | 4.4868          |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:57d0e9ce41f3cdd1c4bcb363abfd24d39a92bca5cb29be0ccd44045a70c3538d
+oid sha256:e75ea9dedd0164126c5a4808e2ed30099ce5a11fdbc9e54d2a74fc226372c4cb
 size 497774208