End of training

README.md

@@ -18,8 +18,8 @@ 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: 0.6260
-- Accuracy: 0.6426
+- Loss: 0.6919
+- Accuracy: 0.5271
 
 ## Model description
 
@@ -38,7 +38,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0001
+- learning_rate: 0.0005
 - train_batch_size: 64
 - eval_batch_size: 64
 - seed: 42
@@ -50,8 +50,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 39   | 0.7222          | 0.4765   |
-| No log        | 2.0   | 78   | 0.6260          | 0.6426   |
+| No log        | 1.0   | 39   | 0.6919          | 0.5271   |
+| No log        | 2.0   | 78   | 0.6928          | 0.5271   |
 
 
 ### Framework versions

runs/Apr01_16-37-09_f645785a7a4a/events.out.tfevents.1743525441.f645785a7a4a.1261.5

@@ -1,3 +1,3 @@
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+size 6103

runs/Apr01_16-37-09_f645785a7a4a/events.out.tfevents.1743525492.f645785a7a4a.1261.6

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