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import os |
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import flair |
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import json |
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import importlib |
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from huggingface_hub import login, HfApi |
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fine_tuner = importlib.import_module("flair-fine-tuner") |
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config_file = os.environ.get("CONFIG") |
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hf_token = os.environ.get("HF_TOKEN") |
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repo_name = os.environ.get("REPO_NAME") |
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login(token=hf_token, add_to_git_credential=True) |
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api = HfApi() |
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with open(config_file, "rt") as f_p: |
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json_config = json.load(f_p) |
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seeds = json_config["seeds"] |
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batch_sizes = json_config["batch_sizes"] |
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epochs = json_config["epochs"] |
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learning_rates = json_config["learning_rates"] |
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subword_poolings = json_config["subword_poolings"] |
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hipe_datasets = json_config["hipe_datasets"] |
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cuda = json_config["cuda"] |
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flair.device = f'cuda:{cuda}' |
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for seed in seeds: |
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for batch_size in batch_sizes: |
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for epoch in epochs: |
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for learning_rate in learning_rates: |
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for subword_pooling in subword_poolings: |
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fine_tuner.run_experiment(seed, batch_size, epoch, learning_rate, subword_pooling, hipe_datasets, json_config) |
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api.upload_folder( |
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folder_path="./", |
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path_in_repo="./", |
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repo_id=repo_name, |
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repo_type="dataset", |
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) |
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