Training complete

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0383
-- Accuracy: 0.0111
+- Loss: 0.0427
+- Accuracy: 0.0
 
 ## Model description
 
@@ -37,7 +37,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 2e-05
 - train_batch_size: 16
 - eval_batch_size: 64
 - seed: 42
@@ -49,11 +49,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 25   | 0.0457          | 0.0      |
-| No log        | 2.0   | 50   | 0.0425          | 0.0      |
-| No log        | 3.0   | 75   | 0.0407          | 0.0      |
-| No log        | 4.0   | 100  | 0.0392          | 0.0164   |
-| No log        | 5.0   | 125  | 0.0383          | 0.0111   |
+| No log        | 1.0   | 25   | 0.0506          | 0.0      |
+| No log        | 2.0   | 50   | 0.0449          | 0.0      |
+| No log        | 3.0   | 75   | 0.0435          | 0.0      |
+| No log        | 4.0   | 100  | 0.0423          | 0.0      |
+| No log        | 5.0   | 125  | 0.0427          | 0.0      |
 
 
 ### Framework versions