cgoosen/prompt-tackler

README.md

@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0093
-- Accuracy: 0.9983
-- Precision: 0.9983
-- Recall: 0.9983
-- F1: 0.9983
+- Loss: 0.0155
+- Accuracy: 0.9972
+- Precision: 0.9972
+- Recall: 0.9972
+- F1: 0.9972
 
 ## Model description
 
@@ -55,12 +55,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy | Precision | Recall | F1     |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| 0.0225        | 1.0   | 4481  | 0.0095          | 0.9977   | 0.9977    | 0.9977 | 0.9977 |
-| 0.0058        | 2.0   | 8962  | 0.0105          | 0.9980   | 0.9980    | 0.9980 | 0.9980 |
-| 0.004         | 3.0   | 13443 | 0.0093          | 0.9983   | 0.9983    | 0.9983 | 0.9983 |
-| 0.0036        | 4.0   | 17924 | 0.0130          | 0.9981   | 0.9981    | 0.9981 | 0.9981 |
-| 0.0           | 5.0   | 22405 | 0.0138          | 0.9987   | 0.9987    | 0.9987 | 0.9987 |
-| 0.0009        | 6.0   | 26886 | 0.0175          | 0.9981   | 0.9981    | 0.9981 | 0.9981 |
+| 0.0364        | 1.0   | 2344  | 0.0224          | 0.9964   | 0.9964    | 0.9964 | 0.9964 |
+| 0.038         | 2.0   | 4688  | 0.0405          | 0.9893   | 0.9907    | 0.9893 | 0.9897 |
+| 0.0126        | 3.0   | 7032  | 0.0211          | 0.9962   | 0.9962    | 0.9962 | 0.9962 |
+| 0.0077        | 4.0   | 9376  | 0.0206          | 0.9966   | 0.9966    | 0.9966 | 0.9966 |
+| 0.0038        | 5.0   | 11720 | 0.0155          | 0.9972   | 0.9972    | 0.9972 | 0.9972 |
+| 0.0015        | 6.0   | 14064 | 0.0201          | 0.9972   | 0.9972    | 0.9972 | 0.9972 |
 
 
 ### Framework versions

model.safetensors

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 size 737722356

training_args.bin

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 size 5048