batch-0-1000

README.md

@@ -1,11 +1,11 @@
 ---
-license: mit
+base_model: microsoft/phi-2
 library_name: peft
+license: mit
 tags:
 - trl
 - sft
 - generated_from_trainer
-base_model: microsoft/phi-2
 model-index:
 - name: phi-2-role-play
   results: []
@@ -52,5 +52,5 @@ The following hyperparameters were used during training:
 - PEFT 0.11.1
 - Transformers 4.41.2
 - Pytorch 2.3.0+cu121
-- Datasets 2.19.2
+- Datasets 2.20.0
 - Tokenizers 0.19.1

adapter_config.json

@@ -20,12 +20,12 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "v_proj",
-    "k_proj",
+    "fc1",
+    "q_proj",
     "dense",
     "fc2",
-    "q_proj",
-    "fc1"
+    "v_proj",
+    "k_proj"
   ],
   "task_type": "CAUSAL_LM",
   "use_dora": false,

adapter_model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:5a1aa99d5dc01a7e344cec88f8736a9dc0ca6479761a1fd3c7f5881065dcecc0
 size 94422368

training_args.bin

@@ -1,3 +1,3 @@
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-size 5112
+oid sha256:60627fb99f359bb0415d38f40da721b83f4095e53c169d7dd794dcea0cceabf1
+size 5368