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Update log.txt
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Writing logs to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/distilbert-base-uncased-imdb-2020-06-30-09:57/log.txt.
Loading nlp dataset imdb, split train.
Loading nlp dataset imdb, split test.
Loaded dataset. Found: 2 labels: ([0, 1])
Loading transformers AutoModelForSequenceClassification: distilbert-base-uncased
Tokenizing training data. (len: 25000)
Tokenizing eval data (len: 25000)
Loaded data and tokenized in 76.20483636856079s
Training model across 4 GPUs
***** Running training *****
Num examples = 25000
Batch size = 16
Max sequence length = 128
Num steps = 7810
Num epochs = 5
Learning rate = 2e-05
Eval accuracy: 87.312%
Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/distilbert-base-uncased-imdb-2020-06-30-09:57/.
Eval accuracy: 87.336%
Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/distilbert-base-uncased-imdb-2020-06-30-09:57/.
Eval accuracy: 88.0%
Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/distilbert-base-uncased-imdb-2020-06-30-09:57/.
Eval accuracy: 87.832%
Eval accuracy: 87.736%
Saved tokenizer <textattack.models.tokenizers.auto_tokenizer.AutoTokenizer object at 0x7f2581bcb400> to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/distilbert-base-uncased-imdb-2020-06-30-09:57/.
Wrote README to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/distilbert-base-uncased-imdb-2020-06-30-09:57/README.md.
Wrote training args to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/distilbert-base-uncased-imdb-2020-06-30-09:57/train_args.json.