add seed for stable reproducibility
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@@ -48,6 +48,7 @@ def sft_base_cfg():
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flash_attention=True,
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learning_rate=0.00001,
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optimizer="adamw_8bit",
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seed=42,
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# these need to be set since we aren't running schema validation
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micro_batch_size=2,
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gradient_accumulation_steps=1,
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@@ -431,7 +432,7 @@ class TestMultiGPULlama:
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)
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check_tensorboard(
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temp_dir + "/runs", "train/train_loss", 2.3, "Train Loss (%s) is too high"
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temp_dir + "/runs", "train/train_loss", 2.4, "Train Loss (%s) is too high"
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)
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@pytest.mark.parametrize(
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