End of training

README.md

@@ -20,10 +20,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai-gpt](https://huggingface.co/openai-gpt) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4037
-- Accuracy: 0.9232
-- Recall: 0.9459
-- Precision: 0.9071
+- Loss: 0.4216
+- Accuracy: 0.9255
+- Recall: 0.9369
+- Precision: 0.9183
 
 ## Model description
 
@@ -54,10 +54,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy | Recall | Precision |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|
-| 0.2039        | 1.0   | 4210  | 0.2595          | 0.9266   | 0.9189 | 0.9358    |
-| 0.1485        | 2.0   | 8420  | 0.3060          | 0.9220   | 0.9459 | 0.9052    |
-| 0.0913        | 3.0   | 12630 | 0.3350          | 0.9289   | 0.9324 | 0.9283    |
-| 0.0572        | 4.0   | 16840 | 0.4037          | 0.9232   | 0.9459 | 0.9071    |
+| 0.2           | 1.0   | 4210  | 0.2958          | 0.9037   | 0.8649 | 0.9412    |
+| 0.1455        | 2.0   | 8420  | 0.3172          | 0.9186   | 0.9505 | 0.8960    |
+| 0.0892        | 3.0   | 12630 | 0.3637          | 0.9278   | 0.9257 | 0.9320    |
+| 0.0584        | 4.0   | 16840 | 0.4216          | 0.9255   | 0.9369 | 0.9183    |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d170aa43a15bf594fbfaa7182a414640559b5228c26e8646ad745613063f7724
+oid sha256:f4878d999b8f5830e8077a87267a5b2cbd7e91f7700e0100a0bee3ae9679ec65
 size 466163240