Model save

README.md

@@ -6,8 +6,6 @@ tags:
 - sft
 - generated_from_trainer
 base_model: meta-llama/Meta-Llama-3-8B-Instruct
-datasets:
-- generator
 model-index:
 - name: llama-3-8B-Instruct-ft
   results: []
@@ -18,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # llama-3-8B-Instruct-ft
 
-This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the generator dataset.
+This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on an unknown dataset.
 
 ## Model description
 
@@ -49,10 +47,6 @@ The following hyperparameters were used during training:
 - training_steps: 50
 - mixed_precision_training: Native AMP
 
-### Training results
-
-
-
 ### Framework versions
 
 - PEFT 0.11.1

adapter_config.json

@@ -20,8 +20,8 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "q_proj",
     "v_proj",
+    "q_proj",
     "output_proj"
   ],
   "task_type": "CAUSAL_LM",

adapter_model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:198120465bc9e07ef7baf57ab4658276730b35bf160df3b57c764c0e7caa0e4e
 size 4311795296

special_tokens_map.json

@@ -13,11 +13,5 @@
     "rstrip": false,
     "single_word": false
   },
-  "pad_token": {
-    "content": "[PAD]",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  }
+  "pad_token": "[PAD]"
 }

training_args.bin

@@ -1,3 +1,3 @@
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+oid sha256:289ca0e958f2093fd7fe04571bb05c8253f22af3166a46ae71ee9da0a850125e
 size 5368