#3: Finetune 10k 1 epoch

README.md

@@ -15,7 +15,7 @@ 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: 0.4670
+- Loss: 0.2942
 
 ## Model description
 
@@ -47,7 +47,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.09          | 1.0   | 625  | 0.4670          |
+| 0.343         | 1.0   | 625  | 0.2942          |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
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runs/Jun24_15-52-53_1cff0c0384a9/events.out.tfevents.1719244375.1cff0c0384a9.39550.0

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runs/Jun24_15-52-53_1cff0c0384a9/events.out.tfevents.1719244645.1cff0c0384a9.39550.1

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