Training completed!

README.md

@@ -18,9 +18,9 @@ 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: 0.1862
-- Accuracy: 0.945
-- F1: 0.9450
+- Loss: 0.1917
+- Accuracy: 0.9333
+- F1: 0.9333
 
 ## Model description
 
@@ -51,13 +51,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.1087        | 1.0   | 225  | 0.1646          | 0.9444   | 0.9444 |
-| 0.0714        | 2.0   | 450  | 0.1862          | 0.945    | 0.9450 |
+| 0.2445        | 1.0   | 225  | 0.1848          | 0.9328   | 0.9328 |
+| 0.1311        | 2.0   | 450  | 0.1917          | 0.9333   | 0.9333 |
 
 
 ### Framework versions
 
-- Transformers 4.38.2
+- Transformers 4.39.0
 - Pytorch 2.2.1+cu121
 - Datasets 2.18.0
 - Tokenizers 0.15.2

config.json

@@ -20,6 +20,6 @@
   "sinusoidal_pos_embds": false,
   "tie_weights_": true,
   "torch_dtype": "float32",
-  "transformers_version": "4.38.2",
+  "transformers_version": "4.39.0",
   "vocab_size": 30522
 }

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training_args.bin

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