vinallama_fine_tune_2000_samples

README.md

@@ -41,7 +41,7 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 32
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- training_steps: 100
+- training_steps: 200
 - mixed_precision_training: Native AMP
 
 ### Training results

adapter_config.json

@@ -23,8 +23,8 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "q_proj",
-    "v_proj"
+    "v_proj",
+    "q_proj"
   ],
   "task_type": null,
   "use_dora": false,

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:750fb737fc1685aa012bfb95b525b640d5732a8a68b1849e5bdce5b9213ac7f6
+oid sha256:e818d7d9879ecb5350d42c090c61b5d8da55fbf590866f442200c0ddb557c6f2
 size 10504816

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9884da0d3d29f692547f9410eabd19a94ee6d222a501e2a8d19569995cc12d9c
+oid sha256:2ebc55a9b9d561d14293c077311dc08d31bfbf9108e308d77336ce3154ff22f4
 size 4856