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 [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5357
-- Accuracy: 0.7667
+- Loss: 0.3600
+- Accuracy: 0.925
 
 ## Model description
 
@@ -44,14 +44,17 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 30   | 0.9226          | 0.5417   |
-| No log        | 2.0   | 60   | 0.5357          | 0.7667   |
+| No log        | 1.0   | 24   | 1.0517          | 0.4833   |
+| No log        | 2.0   | 48   | 0.8261          | 0.6333   |
+| No log        | 3.0   | 72   | 0.5273          | 0.8167   |
+| No log        | 4.0   | 96   | 0.3771          | 0.8833   |
+| No log        | 5.0   | 120  | 0.3600          | 0.925    |
 
 
 ### Framework versions