Model save

README.md

@@ -19,7 +19,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [ytcheng/llama-3-8b-hf-sm-lora-merged](https://huggingface.co/ytcheng/llama-3-8b-hf-sm-lora-merged) on the generator dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.0057
+- Loss: 3.0952
 
 ## Model description
 
@@ -52,16 +52,16 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 3.6712        | 1.0   | 33   | 3.2633          |
-| 2.6495        | 2.0   | 66   | 2.5112          |
-| 2.3212        | 3.0   | 99   | 2.3937          |
-| 2.0921        | 4.0   | 132  | 2.4587          |
-| 1.9862        | 5.0   | 165  | 2.8611          |
-| 1.9494        | 6.0   | 198  | 2.8478          |
-| 1.9216        | 7.0   | 231  | 3.0062          |
-| 1.9042        | 8.0   | 264  | 3.0057          |
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 3.6219        | 0.9851 | 33   | 3.2342          |
+| 2.6017        | 2.0    | 67   | 2.4826          |
+| 2.2366        | 2.9851 | 100  | 2.3797          |
+| 2.0617        | 4.0    | 134  | 2.6861          |
+| 1.9633        | 4.9851 | 167  | 3.0894          |
+| 1.8968        | 6.0    | 201  | 3.1514          |
+| 1.8985        | 6.9851 | 234  | 3.1113          |
+| 1.8886        | 7.8806 | 264  | 3.0952          |
 
 
 ### Framework versions