tool-bert

README.md

@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0133
+- Loss: 0.0097
 - Accuracy: 1.0
 
 ## Model description
@@ -49,10 +49,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 37   | 0.3192          | 0.9897   |
-| No log        | 2.0   | 74   | 0.0442          | 1.0      |
-| No log        | 3.0   | 111  | 0.0161          | 1.0      |
-| No log        | 4.0   | 148  | 0.0133          | 1.0      |
+| No log        | 1.0   | 37   | 0.3346          | 0.9966   |
+| No log        | 2.0   | 74   | 0.0269          | 1.0      |
+| No log        | 3.0   | 111  | 0.0115          | 1.0      |
+| No log        | 4.0   | 148  | 0.0097          | 1.0      |
 
 
 ### Framework versions

model.safetensors

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runs/Aug13_17-00-20_Clint-Johnson-Jasper/events.out.tfevents.1723590021.Clint-Johnson-Jasper.80996.0

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training_args.bin

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