Model save

README.md

@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [AI-Sweden-Models/Llama-3-8B-instruct](https://huggingface.co/AI-Sweden-Models/Llama-3-8B-instruct) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 6.3302
-- Accuracy: 0.1023
+- Loss: 0.8092
+- Accuracy: 0.8176
 
 ## Model description
 
@@ -50,8 +50,18 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| No log        | 0.0005 | 2    | 6.9074          | 0.0706   |
-| No log        | 0.0010 | 4    | 6.3302          | 0.1023   |
+| No log        | 0.0626 | 250  | 1.4498          | 0.7011   |
+| 1.7757        | 0.1252 | 500  | 1.1587          | 0.7524   |
+| 1.7757        | 0.1878 | 750  | 1.0504          | 0.7711   |
+| 1.0486        | 0.2504 | 1000 | 0.9868          | 0.7832   |
+| 1.0486        | 0.3130 | 1250 | 0.9451          | 0.7912   |
+| 0.9401        | 0.3757 | 1500 | 0.9140          | 0.7969   |
+| 0.9401        | 0.4383 | 1750 | 0.8904          | 0.8020   |
+| 0.8842        | 0.5009 | 2000 | 0.8662          | 0.8071   |
+| 0.8842        | 0.5635 | 2250 | 0.8535          | 0.8086   |
+| 0.8473        | 0.6261 | 2500 | 0.8301          | 0.8134   |
+| 0.8473        | 0.6887 | 2750 | 0.8179          | 0.8158   |
+| 0.8188        | 0.7513 | 3000 | 0.8092          | 0.8176   |
 
 
 ### Framework versions