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rankcse_to_huggingface.py
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rankcse_to_huggingface.py
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"""
Convert RankCSE's checkpoints to Huggingface style.
"""
import argparse
import torch
import os
import json
def main():
parser = argparse.ArgumentParser()
parser.add_argument("--path", type=str, help="Path of RankCSE checkpoint folder")
args = parser.parse_args()
print("RankCSE checkpoint -> Huggingface checkpoint for {}".format(args.path))
state_dict = torch.load(os.path.join(args.path, "pytorch_model.bin"), map_location=torch.device("cpu"))
new_state_dict = {}
for key, param in state_dict.items():
# Replace "mlp" to "pooler"
if "mlp" in key:
key = key.replace("mlp", "pooler")
# Delete "bert" or "roberta" prefix
if "bert." in key:
key = key.replace("bert.", "")
if "roberta." in key:
key = key.replace("roberta.", "")
new_state_dict[key] = param
torch.save(new_state_dict, os.path.join(args.path, "pytorch_model.bin"))
# Change architectures in config.json
config = json.load(open(os.path.join(args.path, "config.json")))
for i in range(len(config["architectures"])):
config["architectures"][i] = config["architectures"][i].replace("ForCL", "Model")
json.dump(config, open(os.path.join(args.path, "config.json"), "w"), indent=2)
if __name__ == "__main__":
main()