End of training

README.md

@@ -102,7 +102,7 @@ xformers_attention: true
 
 This model is a fine-tuned version of [sethuiyer/Medichat-Llama3-8B](https://huggingface.co/sethuiyer/Medichat-Llama3-8B) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.2417
+- Loss: 1.2429
 
 ## Model description
 
@@ -134,7 +134,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
-| 0.5651        | 0.0013 | 10   | 1.2417          |
+| 0.5643        | 0.0013 | 10   | 1.2429          |
 
 
 ### Framework versions

adapter_config.json

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