End of training

README.md

@@ -20,7 +20,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bobbyw/deberta-v3-large_faster_learning](https://huggingface.co/bobbyw/deberta-v3-large_faster_learning) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0956
+- Loss: 0.0949
 - Accuracy: 0.0218
 - F1: 0.0427
 - Precision: 0.0218
@@ -56,8 +56,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall | Rate   |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:------:|
-| 0.1333        | 1.0   | 689  | 0.0959          | 0.0218   | 0.0427 | 0.0218    | 1.0    | 0.0001 |
-| 0.1316        | 2.0   | 1378 | 0.0956          | 0.0218   | 0.0427 | 0.0218    | 1.0    | 0.0    |
+| 0.1315        | 1.0   | 689  | 0.0968          | 0.0218   | 0.0427 | 0.0218    | 1.0    | 0.0001 |
+| 0.1302        | 2.0   | 1378 | 0.0949          | 0.0218   | 0.0427 | 0.0218    | 1.0    | 0.0    |
 
 
 ### Framework versions

model.safetensors

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 size 1740120184

runs/Jun07_17-14-19_11a2dcf7bef5/events.out.tfevents.1717780460.11a2dcf7bef5.4952.0

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