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Update eval_logical_reasoning_all_epochs.py
Browse files
llm_toolkit/eval_logical_reasoning_all_epochs.py
CHANGED
@@ -11,12 +11,14 @@ def evaluate_model_all_epochs_v2(
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load_in_4bit=True,
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num_of_entries=-1,
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result_file=None,
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):
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new_env = os.environ.copy()
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new_env["MODEL_NAME"] = model_name
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model = model_name.split("/")[-1]
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new_env["LOAD_IN_4BIT"] = "true" if load_in_4bit else "false"
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if result_file is not None:
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new_env["LOGICAL_REASONING_RESULTS_PATH"] = result_file
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@@ -80,6 +82,7 @@ if __name__ == "__main__":
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start_epoch = int(os.getenv("START_EPOCH", 0))
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load_in_4bit = os.getenv("LOAD_IN_4BIT", "true").lower() == "true"
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result_file = os.getenv("LOGICAL_REASONING_RESULTS_PATH", None)
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num_of_entries = int(sys.argv[1]) if len(sys.argv) > 1 else -1
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@@ -90,4 +93,5 @@ if __name__ == "__main__":
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load_in_4bit=load_in_4bit,
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num_of_entries=num_of_entries,
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result_file=result_file,
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)
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load_in_4bit=True,
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num_of_entries=-1,
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result_file=None,
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batch_size=2,
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):
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new_env = os.environ.copy()
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new_env["MODEL_NAME"] = model_name
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model = model_name.split("/")[-1]
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new_env["LOAD_IN_4BIT"] = "true" if load_in_4bit else "false"
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new_env["BATCH_SIZE"] = str(batch_size)
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if result_file is not None:
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new_env["LOGICAL_REASONING_RESULTS_PATH"] = result_file
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start_epoch = int(os.getenv("START_EPOCH", 0))
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load_in_4bit = os.getenv("LOAD_IN_4BIT", "true").lower() == "true"
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result_file = os.getenv("LOGICAL_REASONING_RESULTS_PATH", None)
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batch_size = int(os.getenv("BATCH_SIZE", 2))
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num_of_entries = int(sys.argv[1]) if len(sys.argv) > 1 else -1
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load_in_4bit=load_in_4bit,
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num_of_entries=num_of_entries,
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result_file=result_file,
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batch_size=batch_size,
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)
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