oz1115/phi3_adapter

README.md

@@ -14,7 +14,6 @@ model-index:
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/gsitm/Phi3-mini-ft-python-code/runs/4ipkuc1m)
 # phi-3-mini-LoRA
 
 This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) on an unknown dataset.
@@ -53,8 +52,8 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- PEFT 0.11.1
-- Transformers 4.42.4
+- PEFT 0.12.0
+- Transformers 4.44.0
 - Pytorch 2.3.1+cu121
 - Datasets 2.20.0
 - Tokenizers 0.19.1

adapter_config.json

@@ -20,13 +20,13 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "k_proj",
+    "v_proj",
+    "q_proj",
     "gate_proj",
-    "o_proj",
-    "down_proj",
     "up_proj",
-    "v_proj",
-    "q_proj"
+    "k_proj",
+    "down_proj",
+    "o_proj"
   ],
   "task_type": "CAUSAL_LM",
   "use_dora": false,

adapter_model.safetensors

@@ -1,3 +1,3 @@
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+size 35668592

training_args.bin

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