textattack
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roberta-base-imdb

Text Classification Transformers PyTorch JAX roberta Inference Endpoints

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system HF staff commited on Jul 6, 2020

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1adeebe

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+Writing logs to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/roberta-base-imdb-2020-06-30-17:56/log.txt.
+Loading [94mnlp[0m dataset [94mimdb[0m, split [94mtrain[0m.
+Loading [94mnlp[0m dataset [94mimdb[0m, split [94mtest[0m.
+Loaded dataset. Found: 2 labels: ([0, 1])
+Loading transformers AutoModelForSequenceClassification: roberta-base
+Tokenizing training data. (len: 25000)
+Tokenizing eval data (len: 25000)
+Loaded data and tokenized in 79.24297642707825s
+Training model across 4 GPUs
+***** Running training *****
+	Num examples = 25000
+	Batch size = 64
+	Max sequence length = 128
+	Num steps = 1950
+	Num epochs = 5
+	Learning rate = 3e-05
+Eval accuracy: 90.776%
+Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/roberta-base-imdb-2020-06-30-17:56/.
+Eval accuracy: 91.35600000000001%
+Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/roberta-base-imdb-2020-06-30-17:56/.
+Eval accuracy: 91.43599999999999%
+Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/roberta-base-imdb-2020-06-30-17:56/.
+Eval accuracy: 91.172%
+Eval accuracy: 91.408%
+Saved tokenizer <textattack.models.tokenizers.auto_tokenizer.AutoTokenizer object at 0x7f1c2495c070> to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/roberta-base-imdb-2020-06-30-17:56/.
+Wrote README to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/roberta-base-imdb-2020-06-30-17:56/README.md.
+Wrote training args to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/roberta-base-imdb-2020-06-30-17:56/train_args.json.