Reset base config of model.
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d48a5563aa
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@ -66,7 +66,7 @@ def get_inference(dataset, seq):
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if __name__ == "__main__":
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log_path = "log/bigger/version_2/"
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log_path = "log/bigger/version_1/"
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file = get_latest_file_safe(log_path + "/checkpoints")
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checkpoint_path = log_path + "checkpoints/" + file
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@ -90,6 +90,7 @@ if __name__ == "__main__":
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# seq:991
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# seq:995
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meaning = 991
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meaning = 10991
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node = map.get_nodetree(meaning)
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node.print()
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10
wit/train.py
10
wit/train.py
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@ -21,7 +21,7 @@ if __name__ == "__main__":
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conf.use_tril_attention_mask = None
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conf.precision = "16-mixed" # "precision:bf16-mixed,16-mixed,32-true"
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conf.train_batch_size = 32
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conf.val_batch_size = 2
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conf.val_batch_size = 4
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conf.num_proc = 8
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conf.max_epochs = 30
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conf.strategy = "auto"
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@ -30,14 +30,15 @@ if __name__ == "__main__":
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conf.dataloader_works = 2
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conf.dataset.meaning.start = 10000
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conf.dataset.meaning.end = 100000
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conf.dataset.meaning.end = 50000
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conf.dataset.meaning.size = None
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conf.dataset.meaning.reserve_vocab = 1
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conf.dataset.meaning.min_subitem = 2
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conf.dataset.meaning.max_subitem = 6
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conf.dataset.meaning.stride = 1
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conf.dataset.meaning.with_tree = False
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conf.dataset.meaning.val_mask_level = [0, 1, 2]
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conf.dataset.meaning.val_mask_idx = [0, 0, -1]
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conf.dataset.meaning.val_mask_level = [0]
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conf.dataset.meaning.val_mask_idx = [0]
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config.vocab_size = 32
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config.hidden_size = 128 # 128 1024 2048 32
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@ -58,6 +59,7 @@ if __name__ == "__main__":
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logger = TBLogger("./log/", name=conf.name)
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logger.log_hyperparams(configuration.class_to_dict(conf))
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configuration.class_to_file(conf, logger.log_dir + "/conf.pkl")
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torch.set_float32_matmul_precision("medium")
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lit_trainer = pl.Trainer(
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