Model save

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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0002
-- Accuracy: 1.0000
+- Loss: 0.0007
+- Accuracy: 0.9999
 
 ## Model description
 
@@ -43,18 +43,20 @@ 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: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 0.0048        | 1.0   | 10582 | 0.0002          | 1.0000   |
+| 0.0056        | 1.0   | 10583 | 0.0025          | 0.9996   |
+| 0.0015        | 2.0   | 21166 | 0.0005          | 0.9999   |
+| 0.0005        | 3.0   | 31749 | 0.0007          | 0.9999   |
 
 
 ### Framework versions
 
-- Transformers 4.33.3
+- Transformers 4.34.0
 - Pytorch 2.0.1+cu118
 - Datasets 2.14.5
-- Tokenizers 0.13.3
+- Tokenizers 0.14.1