End of training

README.md

@@ -3,9 +3,9 @@ license: apache-2.0
 library_name: peft
 tags:
 - generated_from_trainer
+base_model: mistralai/Mistral-7B-v0.1
 datasets:
 - generator
-base_model: mistralai/Mistral-7B-v0.1
 model-index:
 - name: mistral-journal-finetune
   results: []
@@ -50,8 +50,8 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- PEFT 0.9.1.dev0
-- Transformers 4.39.0.dev0
+- PEFT 0.9.0
+- Transformers 4.38.2
 - Pytorch 2.2.1+cu121
 - Datasets 2.18.0
 - Tokenizers 0.15.2

adapter_config.json

@@ -6,7 +6,6 @@
   "fan_in_fan_out": false,
   "inference_mode": true,
   "init_lora_weights": true,
-  "layer_replication": null,
   "layers_pattern": null,
   "layers_to_transform": null,
   "loftq_config": {},
@@ -20,14 +19,14 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "up_proj",
-    "v_proj",
     "down_proj",
+    "up_proj",
     "lm_head",
-    "q_proj",
-    "k_proj",
+    "o_proj",
     "gate_proj",
-    "o_proj"
+    "k_proj",
+    "v_proj",
+    "q_proj"
   ],
   "task_type": "CAUSAL_LM",
   "use_dora": false,

adapter_model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:c9cde7be54ce6334c0bf239c9e687db55a2c180806a4a95ba9ad043fe8ce8cc4
 size 864513616

training_args.bin

@@ -1,3 +1,3 @@
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-oid sha256:7c2bd190c70310083add5324a1f5f05cdb54577b2ec98661ff3ebeae9c7ac62e
+oid sha256:8f64ca798924db3a0282eefe19a1bb196ad8ed712f8b477f1c5cfa4ceaea0ebf
 size 4920