End of training

README.md

@@ -20,7 +20,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2582
+- Loss: 0.3767
 - Accuracy: 0.9467
 - Precision: 0.0
 - Recall: 0.0
@@ -55,8 +55,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1  |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:---:|
-| No log        | 1.0   | 176  | 0.2180          | 0.9467   | 0.0       | 0.0    | 0.0 |
-| No log        | 2.0   | 352  | 0.2582          | 0.9467   | 0.0       | 0.0    | 0.0 |
+| No log        | 1.0   | 176  | 0.3375          | 0.9467   | 0.0       | 0.0    | 0.0 |
+| No log        | 2.0   | 352  | 0.3767          | 0.9467   | 0.0       | 0.0    | 0.0 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:2d8bd2e453bff56a6b44fcc46f7a7bf7f7c35f80cad8a04f4699b4d27d2de290
 size 497780432