End of training

README.md

@@ -102,7 +102,7 @@ xformers_attention: true
 
 This model is a fine-tuned version of [unsloth/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/unsloth/Meta-Llama-3.1-8B-Instruct) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3484
+- Loss: 0.3486
 
 ## Model description
 
@@ -140,8 +140,8 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
 | 7.6368        | 0.0138 | 1    | 7.8842          |
-| 0.5529        | 0.3460 | 25   | 0.4391          |
-| 0.4422        | 0.6920 | 50   | 0.3484          |
+| 0.55          | 0.3460 | 25   | 0.4385          |
+| 0.4443        | 0.6920 | 50   | 0.3486          |
 
 
 ### Framework versions

adapter_config.json

@@ -20,13 +20,13 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "down_proj",
+    "up_proj",
     "gate_proj",
-    "q_proj",
-    "o_proj",
     "k_proj",
+    "down_proj",
     "v_proj",
-    "up_proj"
+    "o_proj",
+    "q_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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