End of training

README.md

@@ -102,7 +102,7 @@ xformers_attention: null
 
 This model is a fine-tuned version of [aisingapore/llama3-8b-cpt-sea-lionv2.1-instruct](https://huggingface.co/aisingapore/llama3-8b-cpt-sea-lionv2.1-instruct) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0519
+- Loss: 0.0420
 
 ## Model description
 
@@ -138,9 +138,9 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
 | 1.4927        | 0.0833 | 1    | 1.4978          |
-| 1.5735        | 0.25   | 3    | 1.4474          |
-| 1.0892        | 0.5    | 6    | 0.8217          |
-| 0.2385        | 0.75   | 9    | 0.0519          |
+| 1.5735        | 0.25   | 3    | 1.4450          |
+| 1.0788        | 0.5    | 6    | 0.8092          |
+| 0.2195        | 0.75   | 9    | 0.0420          |
 
 
 ### Framework versions

adapter_config.json

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