Model save

README.md

@@ -38,10 +38,10 @@ The following hyperparameters were used during training:
 - eval_batch_size: 16
 - seed: 42
 - distributed_type: multi-GPU
-- num_devices: 2
+- num_devices: 4
 - gradient_accumulation_steps: 4
-- total_train_batch_size: 64
-- total_eval_batch_size: 32
+- total_train_batch_size: 128
+- total_eval_batch_size: 64
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: cosine
 - num_epochs: 1

adapter_config.json

@@ -16,9 +16,9 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
+    "k_proj",
     "v_proj",
     "q_proj",
-    "k_proj",
     "o_proj"
   ],
   "task_type": "CAUSAL_LM"

runs/Feb01_23-53-05_r2d2-devbox-lcd4w/events.out.tfevents.1738454128.r2d2-devbox-lcd4w.1270.0

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+size 4619

step_0/README.md

@@ -203,18 +203,4 @@ 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
-## Training procedure
-
-
-### Framework versions
-
-
 - PEFT 0.6.1

step_0/adapter_config.json

@@ -16,9 +16,9 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
+    "k_proj",
     "v_proj",
     "q_proj",
-    "k_proj",
     "o_proj"
   ],
   "task_type": "CAUSAL_LM"

step_0/training_args.bin

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training_args.bin

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