discharge-8000

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: 0.3048
-- Accuracy: 0.8814
-- F1: 0.8814
+- Loss: 0.2539
+- Accuracy: 0.9072
+- F1: 0.9072
 
 ## Model description
 
@@ -51,8 +51,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.5532        | 1.0   | 806  | 0.4284          | 0.8061   | 0.8046 |
-| 0.3891        | 2.0   | 1612 | 0.3048          | 0.8814   | 0.8814 |
+| 0.4848        | 1.0   | 1613 | 0.3375          | 0.8592   | 0.8589 |
+| 0.3454        | 2.0   | 3226 | 0.2539          | 0.9072   | 0.9072 |
 
 
 ### Framework versions

model.safetensors

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runs/Jan17_19-57-36_19dc099b2365/events.out.tfevents.1705521456.19dc099b2365.26009.0

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training_args.bin

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