End of training

README.md

@@ -18,8 +18,8 @@ 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: 0.1074
-- Accuracy: 0.9744
+- Loss: 0.1285
+- Accuracy: 0.9679
 
 ## Model description
 
@@ -50,8 +50,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 69   | 0.1059          | 0.9744   |
-| No log        | 2.0   | 138  | 0.1074          | 0.9744   |
+| No log        | 1.0   | 69   | 0.1238          | 0.9679   |
+| No log        | 2.0   | 138  | 0.1285          | 0.9679   |
 
 
 ### Framework versions

model.safetensors

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 size 267832560

runs/Oct07_22-07-01_BISTECNB049/events.out.tfevents.1728319025.BISTECNB049.19560.0

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