End of training

README.md

@@ -20,11 +20,11 @@ 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: 0.0052
-- Precision: 1.0
-- Recall: 1.0
-- F1: 1.0
-- Accuracy: 1.0
+- Loss: 0.0618
+- Precision: 0.8889
+- Recall: 0.8889
+- F1: 0.8889
+- Accuracy: 0.9773
 
 ## Model description
 
@@ -55,16 +55,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 18   | 0.0907          | 0.8889    | 1.0    | 0.9412 | 0.9706   |
-| No log        | 2.0   | 36   | 0.0119          | 1.0       | 1.0    | 1.0    | 1.0      |
-| No log        | 3.0   | 54   | 0.0114          | 1.0       | 1.0    | 1.0    | 1.0      |
-| No log        | 4.0   | 72   | 0.0141          | 1.0       | 1.0    | 1.0    | 1.0      |
-| No log        | 5.0   | 90   | 0.0055          | 1.0       | 1.0    | 1.0    | 1.0      |
-| No log        | 6.0   | 108  | 0.0044          | 1.0       | 1.0    | 1.0    | 1.0      |
-| No log        | 7.0   | 126  | 0.0040          | 1.0       | 1.0    | 1.0    | 1.0      |
-| No log        | 8.0   | 144  | 0.0043          | 1.0       | 1.0    | 1.0    | 1.0      |
-| No log        | 9.0   | 162  | 0.0049          | 1.0       | 1.0    | 1.0    | 1.0      |
-| No log        | 10.0  | 180  | 0.0052          | 1.0       | 1.0    | 1.0    | 1.0      |
+| No log        | 1.0   | 23   | 0.3117          | 1.0       | 0.6667 | 0.8    | 0.9091   |
+| No log        | 2.0   | 46   | 0.1638          | 0.7778    | 0.7778 | 0.7778 | 0.9318   |
+| No log        | 3.0   | 69   | 0.1322          | 0.875     | 0.7778 | 0.8235 | 0.9545   |
+| No log        | 4.0   | 92   | 0.0582          | 0.8889    | 0.8889 | 0.8889 | 0.9773   |
+| No log        | 5.0   | 115  | 0.1196          | 0.8889    | 0.8889 | 0.8889 | 0.9773   |
+| No log        | 6.0   | 138  | 0.0607          | 0.8889    | 0.8889 | 0.8889 | 0.9773   |
+| No log        | 7.0   | 161  | 0.0918          | 0.8889    | 0.8889 | 0.8889 | 0.9773   |
+| No log        | 8.0   | 184  | 0.0512          | 0.8889    | 0.8889 | 0.8889 | 0.9773   |
+| No log        | 9.0   | 207  | 0.0521          | 0.8889    | 0.8889 | 0.8889 | 0.9773   |
+| No log        | 10.0  | 230  | 0.0618          | 0.8889    | 0.8889 | 0.8889 | 0.9773   |
 
 
 ### Framework versions

model.safetensors

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runs/Mar08_08-52-56_81319de67a6b/events.out.tfevents.1709888007.81319de67a6b.716.0

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runs/Mar08_08-52-56_81319de67a6b/events.out.tfevents.1709888045.81319de67a6b.716.1

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training_args.bin

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