End of training

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6560
-- Accuracy: 0.7250
+- Loss: 0.6755
+- Accuracy: 0.7277
 
 ## Model description
 
@@ -43,7 +43,7 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 8
+- num_epochs: 10
 
 ### Training results
 
@@ -56,7 +56,9 @@ The following hyperparameters were used during training:
 | 0.5696        | 5.0   | 1350 | 0.7136   | 0.6607          |
 | 0.49          | 6.0   | 1620 | 0.7206   | 0.6531          |
 | 0.49          | 7.0   | 1890 | 0.7228   | 0.6543          |
-| 0.4287        | 8.0   | 2160 | 0.6560   | 0.7250          |
+| 0.4287        | 8.0   | 2160 | 0.7250   | 0.6560          |
+| 0.4287        | 9.0   | 2430 | 0.6747   | 0.7239          |
+| 0.3996        | 10.0  | 2700 | 0.6755   | 0.7277          |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a7956cccc90880c466736ef2e69d2a2208251fc77eb03020b255792a2945c51a
+oid sha256:b00f7a5c6942228b9d5d1b47c9e952b383623bf2ab6d5839c7df3a0deb262a66
 size 267835644