End of training

README.md

@@ -96,7 +96,7 @@ xformers_attention: true
 
 This model is a fine-tuned version of [princeton-nlp/gemma-2-9b-it-SimPO](https://huggingface.co/princeton-nlp/gemma-2-9b-it-SimPO) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.9580
+- Loss: 2.9671
 
 ## Model description
 
@@ -128,7 +128,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
-| 2.9045        | 0.0002 | 10   | 2.9580          |
+| 2.8899        | 0.0002 | 10   | 2.9671          |
 
 
 ### Framework versions

adapter_config.json

@@ -21,12 +21,12 @@
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   "target_modules": [
     "k_proj",
-    "q_proj",
-    "up_proj",
+    "down_proj",
     "gate_proj",
+    "q_proj",
+    "v_proj",
     "o_proj",
-    "down_proj",
-    "v_proj"
+    "up_proj"
   ],
   "task_type": "CAUSAL_LM",
   "use_dora": false,

adapter_model.bin

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adapter_model.safetensors

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training_args.bin

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