Model save

README.md

@@ -1,10 +1,10 @@
 ---
+base_model: final-tuned-model
 library_name: peft
 tags:
 - trl
 - sft
 - generated_from_trainer
-base_model: final-tuned-model
 model-index:
 - name: llama-3-8B-Instruct-ft
   results: []
@@ -43,7 +43,7 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: cosine
 - lr_scheduler_warmup_ratio: 0.1
-- training_steps: 300
+- training_steps: 200
 - mixed_precision_training: Native AMP
 
 ### Framework versions
@@ -51,5 +51,5 @@ The following hyperparameters were used during training:
 - PEFT 0.11.1
 - Transformers 4.41.2
 - Pytorch 2.1.0.post2+cxx11.abi
-- Datasets 2.19.2
+- Datasets 2.20.0
 - Tokenizers 0.19.1

adapter_config.json

@@ -20,9 +20,9 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "output_proj",
     "v_proj",
-    "q_proj"
+    "q_proj",
+    "output_proj"
   ],
   "task_type": "CAUSAL_LM",
   "use_dora": false,

adapter_model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:1443a4db9aa37aea3469199777ba6a67585384ebe39485962a2d6a02ec8b7673
 size 109069176

training_args.bin

@@ -1,3 +1,3 @@
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+oid sha256:d2de16e3d1446da2e510ea775105d1b1c14847438c14955b2994a3e4275d2374
 size 5368