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Add original AI2 version of c4 v3.0.1, ND3 deduplicated with param = 0.8, and LM1B, Wiki40B, and lm_first_len512 versions of original AI2 C4 and ND3 deduped AI2 C4 for evaluation. #321

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Add original AI2 version of c4 v3.0.1, ND3 deduplicated with param = 0.8, and LM1B, Wiki40B, and lm_first_len512 versions of original AI2 C4 and ND3 deduped AI2 C4 for evaluation. #321

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2 changes: 1 addition & 1 deletion mesh_tensorflow/transformer/utils.py
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Expand Up @@ -1667,7 +1667,7 @@ def score_with_estimator(estimator, input_fn, eval_checkpoint_step, model_dir,
Returns:
a list of floats
"""
checkpoint_path, = get_checkpoint_iterator(eval_checkpoint_step, model_dir)
checkpoint_path = get_checkpoint_iterator(eval_checkpoint_step, model_dir)

result_iter = estimator.predict(input_fn, checkpoint_path=checkpoint_path)
# TODO(dei): This code is not well-designed for large-scale scoring, where the
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