iyashnayi/SocioLens-llama-3.2-3B

README.md

@@ -27,7 +27,7 @@ print(output["generated_text"])
 
 ## Training procedure
 
-[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/yashnayi00-university-of-new-haven/huggingface/runs/ifkobwii) 
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/yashnayi00-university-of-new-haven/huggingface/runs/r1mh79zm) 
 
 
 This model was trained with SFT.
@@ -35,7 +35,7 @@ This model was trained with SFT.
 ### Framework versions
 
 - TRL: 0.16.1
-- Transformers: 4.51.2
+- Transformers: 4.51.3
 - Pytorch: 2.2.0+cu118
 - Datasets: 3.5.0
 - Tokenizers: 0.21.1

adapter_config.json

@@ -14,11 +14,8 @@
   "r": 16,
   "revision": null,
   "target_modules": [
-    "up_proj",
-    "down_proj",
-    "gate_proj",
-    "k_proj",
     "q_proj",
+    "k_proj",
     "v_proj",
     "o_proj"
   ],

adapter_model.safetensors

@@ -1,3 +1,3 @@
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+size 36730224

config.json

@@ -45,7 +45,7 @@
   "rope_theta": 500000.0,
   "tie_word_embeddings": true,
   "torch_dtype": "float16",
-  "transformers_version": "4.51.2",
+  "transformers_version": "4.51.3",
   "use_cache": false,
   "vocab_size": 128256
 }

training_args.bin

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