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ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
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ValueError: Tensor conversion requested dtype string for Tensor with dtype float32: <tf.Tensor 'args_0:0' shape=() dtype=float32> #101

Closed etetteh closed 3 years ago

etetteh commented 3 years ago

I am trying to train an ELECTRA base model, but getting the following error, when I run the pretraining script:

ValueError: in converted code:
    relative to /home/etetteh/anaconda3/lib/python3.6/site-packages/tensorflow_core/python:

    data/ops/readers.py:336 __init__
        filenames, compression_type, buffer_size, num_parallel_reads)
    data/ops/readers.py:296 __init__
        filenames = _create_or_validate_filenames_dataset(filenames)
    data/ops/readers.py:56 _create_or_validate_filenames_dataset
        filenames = ops.convert_to_tensor(filenames, dtype=dtypes.string)
    framework/ops.py:1184 convert_to_tensor
        return convert_to_tensor_v2(value, dtype, preferred_dtype, name)
    framework/ops.py:1242 convert_to_tensor_v2
        as_ref=False)
    framework/ops.py:1273 internal_convert_to_tensor
        (dtype.name, value.dtype.name, value))

    ValueError: Tensor conversion requested dtype string for Tensor with dtype float32: <tf.Tensor 'args_0:0' shape=() dtype=float32>

Please, assist a friend. Thank you.