Model save

README.md

@@ -38,6 +38,8 @@ The following hyperparameters were used during training:
 - eval_batch_size: 8
 - seed: 42
 - distributed_type: multi-GPU
+- gradient_accumulation_steps: 128
+- total_train_batch_size: 512
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: cosine
 - num_epochs: 1

adapter_config.json

@@ -17,8 +17,8 @@
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   "target_modules": [
     "k_proj",
-    "q_proj",
     "o_proj",
+    "q_proj",
     "v_proj"
   ],
   "task_type": "CAUSAL_LM"

runs/Feb01_05-47-09_r2d2-devbox-wmqsn/events.out.tfevents.1738388846.r2d2-devbox-wmqsn.24987.0

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step_0/README.md

@@ -252,4 +252,11 @@ 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

@@ -17,8 +17,8 @@
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   "target_modules": [
     "k_proj",
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     "o_proj",
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     "v_proj"
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   "task_type": "CAUSAL_LM"

step_0/training_args.bin

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training_args.bin

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