End of training

README.md

@@ -20,7 +20,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset.
 It achieves the following results on the evaluation set:
 - Loss: nan
-- Accuracy: 0.2912
+- Accuracy: 0.2888
 - F1: 0.0
 
 ## Model description
@@ -40,7 +40,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0001
+- learning_rate: 5e-05
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
@@ -52,10 +52,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1  |
 |:-------------:|:------:|:----:|:---------------:|:--------:|:---:|
-| 0.333         | 0.0710 | 25   | nan             | 0.2912   | 0.0 |
-| 0.0           | 0.1420 | 50   | nan             | 0.2912   | 0.0 |
-| 0.0           | 0.2131 | 75   | nan             | 0.2912   | 0.0 |
-| 0.0           | 0.2841 | 100  | nan             | 0.2912   | 0.0 |
+| 0.931         | 0.0710 | 25   | nan             | 0.2888   | 0.0 |
+| 0.0           | 0.1420 | 50   | nan             | 0.2888   | 0.0 |
+| 0.0           | 0.2131 | 75   | nan             | 0.2888   | 0.0 |
+| 0.0           | 0.2841 | 100  | nan             | 0.2888   | 0.0 |
 
 
 ### Framework versions