End of training

README.md

@@ -102,7 +102,7 @@ xformers_attention: true
 
 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: 2.9314
+- Loss: 2.9336
 
 ## Model description
 
@@ -134,7 +134,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
-| 2.2063        | 0.0000 | 10   | 2.9314          |
+| 2.2087        | 0.0000 | 10   | 2.9336          |
 
 
 ### Framework versions

adapter_config.json

@@ -20,12 +20,12 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "k_proj",
     "up_proj",
-    "gate_proj",
     "down_proj",
     "o_proj",
     "v_proj",
+    "k_proj",
+    "gate_proj",
     "q_proj"
   ],
   "task_type": "CAUSAL_LM",

adapter_model.bin

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adapter_model.safetensors

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training_args.bin

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