End of training

README.md

@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/gemma-2-2b-it](https://huggingface.co/google/gemma-2-2b-it) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.8753
+- Loss: 1.8714
 
 ## Model description
 
@@ -49,8 +49,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
-| 2.0282        | 0.9999 | 3912 | 1.9913          |
-| 1.8359        | 1.9999 | 7824 | 1.8753          |
+| 2.0284        | 0.9999 | 3912 | 1.9896          |
+| 1.8333        | 1.9999 | 7824 | 1.8714          |
 
 
 ### Framework versions

adapter_config.json

@@ -23,13 +23,13 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "q_proj",
-    "k_proj",
-    "v_proj",
-    "down_proj",
+    "gate_proj",
     "up_proj",
     "o_proj",
-    "gate_proj"
+    "k_proj",
+    "q_proj",
+    "v_proj",
+    "down_proj"
   ],
   "task_type": "CAUSAL_LM",
   "use_dora": false,

adapter_model.safetensors

@@ -1,3 +1,3 @@
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 size 41581360

runs/Dec26_22-57-13_5bff9903db84/events.out.tfevents.1735253834.5bff9903db84.23.0

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training_args.bin

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