python finetune.py --base_model 'decapoda-research/llama-7b-hf' --data_path 'ID3/comentario_youtube_lorea' --output_dir './lorea_alphaca' --cutoff_len 512 --learning-rate 0.1 --batch-size 256 --lora-r 20

adapter_config.json

@@ -10,7 +10,7 @@
   "merge_weights": false,
   "modules_to_save": null,
   "peft_type": "LORA",
-  "r": 8,
+  "r": 20,
   "target_modules": [
     "q_proj",
     "v_proj"

adapter_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3e65f56d488c5ff28a33cca0621fbd74e9918285984460b706691060a57f8874
-size 16822989
+oid sha256:514cfd36deef3c3dd7099e2d9ccb5b92e23ffe0204be441c6f4c347db3a19686
+size 41989069