init
Browse files- experiments/main.sh +40 -0
- experiments/model_finetuning_nerd.py +0 -15
- experiments/model_finetuning_topic.py +1 -18
experiments/main.sh
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MODEL=""
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MODEL="roberta-base"
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# NERD
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python model_finetuning_nerd.py -m "${MODEL}" -d "nerd_temporal"
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python model_finetuning_nerd.py -m "${MODEL}" -d "nerd_random0_seed0"
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python model_finetuning_nerd.py -m "${MODEL}" -d "nerd_random1_seed0"
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python model_finetuning_nerd.py -m "${MODEL}" -d "nerd_random2_seed0"
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python model_finetuning_nerd.py -m "${MODEL}" -d "nerd_random3_seed0"
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python model_finetuning_nerd.py -m "${MODEL}" -d "nerd_random0_seed1"
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python model_finetuning_nerd.py -m "${MODEL}" -d "nerd_random1_seed1"
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python model_finetuning_nerd.py -m "${MODEL}" -d "nerd_random2_seed1"
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python model_finetuning_nerd.py -m "${MODEL}" -d "nerd_random3_seed1"
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python model_finetuning_nerd.py -m "${MODEL}" -d "nerd_random0_seed2"
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python model_finetuning_nerd.py -m "${MODEL}" -d "nerd_random1_seed2"
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python model_finetuning_nerd.py -m "${MODEL}" -d "nerd_random2_seed2"
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python model_finetuning_nerd.py -m "${MODEL}" -d "nerd_random3_seed2"
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# TOPIC
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python model_finetuning_topic.py -m "${MODEL}" -d "topic_temporal"
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python model_finetuning_topic.py -m "${MODEL}" -d "topic_random0_seed0"
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python model_finetuning_topic.py -m "${MODEL}" -d "topic_random1_seed0"
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python model_finetuning_topic.py -m "${MODEL}" -d "topic_random2_seed0"
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python model_finetuning_topic.py -m "${MODEL}" -d "topic_random3_seed0"
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python model_finetuning_topic.py -m "${MODEL}" -d "topic_random0_seed1"
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python model_finetuning_topic.py -m "${MODEL}" -d "topic_random1_seed1"
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python model_finetuning_topic.py -m "${MODEL}" -d "topic_random2_seed1"
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python model_finetuning_topic.py -m "${MODEL}" -d "topic_random3_seed1"
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python model_finetuning_topic.py -m "${MODEL}" -d "topic_random0_seed2"
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python model_finetuning_topic.py -m "${MODEL}" -d "topic_random1_seed2"
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python model_finetuning_topic.py -m "${MODEL}" -d "topic_random2_seed2"
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python model_finetuning_topic.py -m "${MODEL}" -d "topic_random3_seed2"
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experiments/model_finetuning_nerd.py
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```
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python model_finetuning_nerd.py -m "roberta-base" -d "nerd_temporal"
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-
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python model_finetuning_nerd.py -m "roberta-base" -d "nerd_random0_seed0"
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python model_finetuning_nerd.py -m "roberta-base" -d "nerd_random1_seed0"
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python model_finetuning_nerd.py -m "roberta-base" -d "nerd_random2_seed0"
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python model_finetuning_nerd.py -m "roberta-base" -d "nerd_random3_seed0"
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python model_finetuning_nerd.py -m "roberta-base" -d "nerd_random0_seed1"
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python model_finetuning_nerd.py -m "roberta-base" -d "nerd_random1_seed1"
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python model_finetuning_nerd.py -m "roberta-base" -d "nerd_random2_seed1"
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python model_finetuning_nerd.py -m "roberta-base" -d "nerd_random3_seed1"
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python model_finetuning_nerd.py -m "roberta-base" -d "nerd_random0_seed2"
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python model_finetuning_nerd.py -m "roberta-base" -d "nerd_random1_seed2"
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python model_finetuning_nerd.py -m "roberta-base" -d "nerd_random2_seed2"
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python model_finetuning_nerd.py -m "roberta-base" -d "nerd_random3_seed2"
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```
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"""
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import argparse
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```
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python model_finetuning_nerd.py -m "roberta-base" -d "nerd_temporal"
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```
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"""
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import argparse
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experiments/model_finetuning_topic.py
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```
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python model_finetuning_topic.py -m "roberta-base" -d "topic_temporal"
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python model_finetuning_topic.py -m "roberta-base" -d "topic_random0_seed0"
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python model_finetuning_topic.py -m "roberta-base" -d "topic_random1_seed0"
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python model_finetuning_topic.py -m "roberta-base" -d "topic_random2_seed0"
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python model_finetuning_topic.py -m "roberta-base" -d "topic_random3_seed0"
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python model_finetuning_topic.py -m "roberta-base" -d "topic_random0_seed1"
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python model_finetuning_topic.py -m "roberta-base" -d "topic_random1_seed1"
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python model_finetuning_topic.py -m "roberta-base" -d "topic_random2_seed1"
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python model_finetuning_topic.py -m "roberta-base" -d "topic_random3_seed1"
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python model_finetuning_topic.py -m "roberta-base" -d "topic_random0_seed2"
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python model_finetuning_topic.py -m "roberta-base" -d "topic_random1_seed2"
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python model_finetuning_topic.py -m "roberta-base" -d "topic_random2_seed2"
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python model_finetuning_topic.py -m "roberta-base" -d "topic_random3_seed2"
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```
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"""
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import argparse
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setattr(trainer.args, n, v)
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trainer.train()
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trainer.save_model(best_model_path)
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if not skip_test:
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logging.info("testing model")
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test_split = ["test"]
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if dataset_type.endswith("temporal"):
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test_split += ["test_1", "test_2", "test_3", "test_4"]
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summary_file = pj(
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if os.path.exists(summary_file):
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with open(summary_file) as f:
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metric = json.load(f)
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id2label=ID2LABEL,
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label2id=LABEL2ID
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)
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tokenizer = AutoTokenizer.from_pretrained(best_model_path)
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model_instance.push_to_hub(f"{model_organization}/{model_alias}", use_auth_token=True)
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tokenizer.push_to_hub(f"{model_organization}/{model_alias}", use_auth_token=True)
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repo = Repository(model_alias, f"{model_organization}/{model_alias}")
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```
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python model_finetuning_topic.py -m "roberta-base" -d "topic_temporal"
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```
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"""
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import argparse
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setattr(trainer.args, n, v)
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trainer.train()
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trainer.save_model(best_model_path)
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if not skip_test:
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logging.info("testing model")
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test_split = ["test"]
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if dataset_type.endswith("temporal"):
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test_split += ["test_1", "test_2", "test_3", "test_4"]
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summary_file = pj(best_model_path, "summary.json")
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if os.path.exists(summary_file):
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with open(summary_file) as f:
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metric = json.load(f)
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id2label=ID2LABEL,
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label2id=LABEL2ID
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)
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model_instance.push_to_hub(f"{model_organization}/{model_alias}", use_auth_token=True)
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tokenizer.push_to_hub(f"{model_organization}/{model_alias}", use_auth_token=True)
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repo = Repository(model_alias, f"{model_organization}/{model_alias}")
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