Model save

README.md

@@ -37,10 +37,10 @@ The following hyperparameters were used during training:
 - eval_batch_size: 8
 - seed: 4
 - distributed_type: multi-GPU
-- num_devices: 8
+- num_devices: 4
 - gradient_accumulation_steps: 4
-- total_train_batch_size: 128
-- total_eval_batch_size: 64
+- total_train_batch_size: 64
+- total_eval_batch_size: 32
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: cosine
 - num_epochs: 1

adapter_config.json

@@ -16,11 +16,11 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "down_proj",
     "o_proj",
+    "up_proj",
     "q_proj",
+    "down_proj",
     "v_proj",
-    "up_proj",
     "k_proj"
   ],
   "task_type": "CAUSAL_LM"

runs/May16_11-30-42_cdc34a7ce3be/events.out.tfevents.1715859120.cdc34a7ce3be.45452.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5a419360961e22e6620c66b4b0ba1506f47d17e8fd535cfa4007c2d2c211d65a
+size 4308

step_0/README.md

@@ -204,11 +204,4 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
 ### Framework versions
 
 
-- PEFT 0.6.1
-## Training procedure
-
-
-### Framework versions
-
-
 - PEFT 0.6.1

step_0/adapter_config.json

@@ -16,11 +16,11 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "down_proj",
     "o_proj",
+    "up_proj",
     "q_proj",
+    "down_proj",
     "v_proj",
-    "up_proj",
     "k_proj"
   ],
   "task_type": "CAUSAL_LM"

step_0/training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cc4fa0818cb86f43a40da60f9e06070f0ea42d8c3818c25b6d434c49cf50f658
+oid sha256:6bbca23412ec822d5964bbd3e1ca1096066165d9488f55efb9fa1a7dd885945e
 size 5560

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cc4fa0818cb86f43a40da60f9e06070f0ea42d8c3818c25b6d434c49cf50f658
+oid sha256:6bbca23412ec822d5964bbd3e1ca1096066165d9488f55efb9fa1a7dd885945e
 size 5560