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Disable wandb during training
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@ -1,3 +1,8 @@
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import os
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os.environ["WANDB_MODE"] = "offline"
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os.environ["WANDB_DISABLED"] = "true"
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import json
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import json
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import math
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import math
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import random
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import random
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@ -517,6 +522,7 @@ def do_train(lora_name: str, always_override: bool, save_steps: int, micro_batch
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train_dataset=train_data,
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train_dataset=train_data,
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eval_dataset=eval_data,
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eval_dataset=eval_data,
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args=transformers.TrainingArguments(
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args=transformers.TrainingArguments(
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report_to=None,
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per_device_train_batch_size=micro_batch_size,
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per_device_train_batch_size=micro_batch_size,
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gradient_accumulation_steps=gradient_accumulation_steps,
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gradient_accumulation_steps=gradient_accumulation_steps,
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warmup_steps=math.ceil(warmup_steps / gradient_accumulation_steps),
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warmup_steps=math.ceil(warmup_steps / gradient_accumulation_steps),
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