Model save

README.md

@@ -1,11 +1,12 @@
 ---
-base_model: meta-llama/Llama-2-7b-chat-hf
+library_name: peft
 tags:
 - trl
 - sft
 - generated_from_trainer
 datasets:
 - generator
+base_model: meta-llama/Llama-2-7b-chat-hf
 model-index:
 - name: alpaca-gpt4-conversation-llama2-7b-chat
   results: []
@@ -43,7 +44,7 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 16
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 100
+- num_epochs: 1
 
 ### Training results
 
@@ -51,7 +52,8 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- Transformers 4.37.2
+- PEFT 0.7.1
+- Transformers 4.38.1
 - Pytorch 2.1.2+cu121
 - Datasets 2.15.0
-- Tokenizers 0.15.0
+- Tokenizers 0.15.0

adapter_config.json

@@ -4,7 +4,7 @@
   "base_model_name_or_path": "meta-llama/Llama-2-7b-chat-hf",
   "bias": "none",
   "fan_in_fan_out": false,
-  "inference_mode": false,
+  "inference_mode": true,
   "init_lora_weights": true,
   "layers_pattern": null,
   "layers_to_transform": null,
@@ -19,8 +19,8 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "q_proj",
-    "v_proj"
+    "v_proj",
+    "q_proj"
   ],
   "task_type": "CAUSAL_LM"
 }

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e1585b5aaa370316380af250d6628d3ca5f0d49bc8a371ec98a52802203038ba
-size 4211128
+oid sha256:4622c6b4897441a5a0f4841ab611d68363bd4b7a51f5001b25b92b8aa3f5a36c
+size 2114040

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:79b2fbaf4efc5c4ab1418a44b1dca5c36286645f476e02f87d60f3a85c668c5d
-size 4728
+oid sha256:922cb154a1f60c1c4631f3c6b2706039d831eec84253a5a6e603924ef7444a0e
+size 4920