|
Writing logs to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-snli-2020-07-02-13:00/log.txt. |
|
Loading [94mnlp[0m dataset [94msnli[0m, split [94mtrain[0m. |
|
Loading [94mnlp[0m dataset [94msnli[0m, split [94mvalidation[0m. |
|
Filtering samples with labels outside of [0, 1, 2]. |
|
Filtered 550152 train samples to 549367 points. |
|
Filtered 10000 dev samples to 9842 points. |
|
Loaded dataset. Found: 3 labels: ([0, 1, 2]) |
|
Loading transformers AutoModelForSequenceClassification: albert-base-v2 |
|
Tokenizing training data. (len: 549367) |
|
Tokenizing eval data (len: 9842) |
|
Loaded data and tokenized in 770.6083040237427s |
|
Training model across 1 GPUs |
|
***** Running training ***** |
|
Num examples = 549367 |
|
Batch size = 64 |
|
Max sequence length = 64 |
|
Num steps = 42915 |
|
Num epochs = 5 |
|
Learning rate = 2e-05 |
|
Eval accuracy: 89.86994513310303% |
|
Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-snli-2020-07-02-13:00/. |
|
Eval accuracy: 89.8191424507214% |
|
Eval accuracy: 90.6015037593985% |
|
Best acc found. Saved model to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-snli-2020-07-02-13:00/. |
|
Eval accuracy: 90.27636659215607% |
|
Eval accuracy: 90.25604551920341% |
|
Saved tokenizer <textattack.models.tokenizers.auto_tokenizer.AutoTokenizer object at 0x7fd0840a5190> to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-snli-2020-07-02-13:00/. |
|
Wrote README to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-snli-2020-07-02-13:00/README.md. |
|
Wrote training args to /p/qdata/jm8wx/research/text_attacks/textattack/outputs/training/albert-base-v2-snli-2020-07-02-13:00/train_args.json. |
|
|