End of training

README.md

@@ -102,7 +102,7 @@ xformers_attention: null
 
 This model is a fine-tuned version of [oopsung/llama2-7b-koNqa-test-v1](https://huggingface.co/oopsung/llama2-7b-koNqa-test-v1) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 12.1310
+- Loss: 12.1044
 
 ## Model description
 
@@ -138,9 +138,9 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
 | 14.12         | 0.0008 | 1    | 16.0395         |
-| 17.5653       | 0.0024 | 3    | 16.0105         |
-| 14.5423       | 0.0049 | 6    | 15.2242         |
-| 13.1216       | 0.0073 | 9    | 12.1310         |
+| 17.5635       | 0.0024 | 3    | 16.0100         |
+| 14.5364       | 0.0049 | 6    | 15.2227         |
+| 13.087        | 0.0073 | 9    | 12.1044         |
 
 
 ### Framework versions

adapter_config.json

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