Training complete

README.md

@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0021
-- Precision: 0.9996
-- Recall: 0.9992
-- F1: 0.9994
-- Accuracy: 0.9997
+- Loss: 0.8289
+- Precision: 0.0
+- Recall: 0.0
+- F1: 0.0
+- Accuracy: 0.9262
 
 ## Model description
 
@@ -54,11 +54,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.0107        | 1.0   | 1250 | 0.0070          | 0.9955    | 1.0    | 0.9978 | 0.9983   |
-| 0.0035        | 2.0   | 2500 | 0.0029          | 0.9988    | 0.9980 | 0.9984 | 0.9994   |
-| 0.0012        | 3.0   | 3750 | 0.0021          | 0.9996    | 0.9992 | 0.9994 | 0.9997   |
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
+| No log        | 1.0   | 5    | 1.7476          | 0.0       | 0.0    | 0.0 | 0.9141   |
+| No log        | 2.0   | 10   | 1.0302          | 0.0       | 0.0    | 0.0 | 0.9262   |
+| No log        | 3.0   | 15   | 0.8289          | 0.0       | 0.0    | 0.0 | 0.9262   |
 
 
 ### Framework versions

model.safetensors

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runs/Jan06_16-21-47_664cc45c2649/events.out.tfevents.1736180516.664cc45c2649.40.0

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