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log.txt

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+Writing logs to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/distilbert-base-uncased-ag_news-2020-07-03-06:26/log.txt.
+Loading nlp dataset ag_news, split train.
+Loading nlp dataset ag_news, split test.
+Loaded dataset. Found: 4 labels: ([0, 1, 2, 3])
+Loading transformers AutoModelForSequenceClassification: distilbert-base-uncased
+Tokenizing training data. (len: 120000)
+Tokenizing eval data (len: 7600)
+Loaded data and tokenized in 145.95597338676453s
+Training model across 4 GPUs
+***** Running training *****
+	Num examples = 120000
+	Batch size = 32
+	Max sequence length = 128
+	Num steps = 18750
+	Num epochs = 5
+	Learning rate = 2e-05
+Eval accuracy: 93.94736842105263%
+Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/distilbert-base-uncased-ag_news-2020-07-03-06:26/.
+Eval accuracy: 94.78947368421052%
+Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/distilbert-base-uncased-ag_news-2020-07-03-06:26/.
+Eval accuracy: 94.67105263157895%
+Eval accuracy: 94.72368421052632%
+Eval accuracy: 94.56578947368422%
+Saved tokenizer <textattack.models.tokenizers.auto_tokenizer.AutoTokenizer object at 0x7f914302fc10> to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/distilbert-base-uncased-ag_news-2020-07-03-06:26/.
+Wrote README to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/distilbert-base-uncased-ag_news-2020-07-03-06:26/README.md.
+Wrote training args to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/distilbert-base-uncased-ag_news-2020-07-03-06:26/train_args.json.