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/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1439
-- Accuracy: 0.9479
+- Loss: 0.1831
+- Accuracy: 0.9321
 
 ## Model description
 
@@ -43,13 +43,14 @@ 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: 1
+- num_epochs: 2
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2234        | 1.0   | 612  | 0.1439          | 0.9479   |
+| 0.2113        | 1.0   | 1050 | 0.1945          | 0.9206   |
+| 0.1298        | 2.0   | 2100 | 0.1831          | 0.9321   |
 
 
 ### Framework versions

runs/Mar30_22-02-06_41ee23786abc/events.out.tfevents.1711836127.41ee23786abc.34.0

@@ -1,3 +1,3 @@
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+size 6469