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https://github.com/huggingface/transformers.git
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dd9d483d03
* doc
* [tests] Add sample files for a regression task
* [HUGE] Trainer
* Feedback from @sshleifer
* Feedback from @thomwolf + logging tweak
* [file_utils] when downloading concurrently, get_from_cache will use the cached file for subsequent processes
* [glue] Use default max_seq_length of 128 like before
* [glue] move DataTrainingArguments around
* [ner] Change interface of InputExample, and align run_{tf,pl}
* Re-align the pl scripts a little bit
* ner
* [ner] Add integration test
* Fix language_modeling with API tweak
* [ci] Tweak loss target
* Don't break console output
* amp.initialize: model must be on right device before
* [multiple-choice] update for Trainer
* Re-align to 827d6d6ef0
34 lines
942 B
Python
34 lines
942 B
Python
import logging
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import sys
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import unittest
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from unittest.mock import patch
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import run_ner
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logging.basicConfig(level=logging.DEBUG)
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logger = logging.getLogger()
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class ExamplesTests(unittest.TestCase):
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def test_run_ner(self):
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stream_handler = logging.StreamHandler(sys.stdout)
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logger.addHandler(stream_handler)
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testargs = """
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--model_name distilbert-base-german-cased
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--output_dir ./examples/tests_samples/temp_dir
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--overwrite_output_dir
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--data_dir ./examples/tests_samples/GermEval
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--labels ./examples/tests_samples/GermEval/labels.txt
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--max_seq_length 128
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--num_train_epochs 6
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--logging_steps 1
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--do_train
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--do_eval
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""".split()
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with patch.object(sys, "argv", ["run.py"] + testargs):
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result = run_ner.main()
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self.assertLess(result["loss"], 1.5)
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