tool-bert

README.md

@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google-bert/bert-base-multilingual-uncased](https://huggingface.co/google-bert/bert-base-multilingual-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5647
-- Accuracy: 0.7293
+- Loss: 0.0165
+- Accuracy: 0.9980
 
 ## Model description
 
@@ -50,10 +50,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 188  | 0.9877          | 0.5573   |
-| No log        | 2.0   | 376  | 0.6289          | 0.7193   |
-| 0.9252        | 3.0   | 564  | 0.5927          | 0.7267   |
-| 0.9252        | 4.0   | 752  | 0.5647          | 0.7293   |
+| No log        | 1.0   | 63   | 0.3853          | 0.9701   |
+| No log        | 2.0   | 126  | 0.0449          | 0.9960   |
+| No log        | 3.0   | 189  | 0.0412          | 0.9940   |
+| No log        | 4.0   | 252  | 0.0165          | 0.9980   |
 
 
 ### Framework versions

model.safetensors

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runs/Dec30_20-57-51_Doctor/events.out.tfevents.1735603073.Doctor.4234.0

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training_args.bin

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