Namespace(align_suffix=None, alignfile=None, all_gather_list_size=16384, azureml_logging=False, bf16=False, bpe=None, cpu=False, criterion='cross_entropy', dataset_impl='mmap', destdir='/n/fs/nlp-awettig/data-pretraining/glue/sst2/bin/label', empty_cache_freq=0, fp16=False, fp16_init_scale=128, fp16_no_flatten_grads=False, fp16_scale_tolerance=0.0, fp16_scale_window=None, joined_dictionary=False, log_format=None, log_interval=100, lr_scheduler='fixed', memory_efficient_bf16=False, memory_efficient_fp16=False, min_loss_scale=0.0001, model_parallel_size=1, no_progress_bar=False, nwordssrc=-1, nwordstgt=-1, only_source=True, optimizer=None, padding_factor=8, plasma_path='/tmp/plasma', profile=False, quantization_config_path=None, reset_logging=False, scoring='bleu', seed=1, simul_type=None, slurm_job_id=None, slurm_job_name=None, source_lang=None, srcdict=None, suppress_crashes=False, tag=None, target_lang=None, task='translation', tensorboard_logdir=None, testpref=None, tgtdict=None, threshold_loss_scale=None, thresholdsrc=0, thresholdtgt=0, tokenizer=None, tpu=False, trainpref='/n/fs/nlp-awettig/data-pretraining/glue/sst2/label.train.label', use_plasma_view=False, user_dir=None, validpref='/n/fs/nlp-awettig/data-pretraining/glue/sst2/label.val.label', wandb_project=None, workers=3)
[None] Dictionary: 8 types
[None] /n/fs/nlp-awettig/data-pretraining/glue/sst2/label.train.label: 67349 sents, 134698 tokens, 0.0% replaced by <unk>
[None] Dictionary: 8 types
[None] /n/fs/nlp-awettig/data-pretraining/glue/sst2/label.val.label: 872 sents, 1744 tokens, 0.0% replaced by <unk>
Wrote preprocessed data to /n/fs/nlp-awettig/data-pretraining/glue/sst2/bin/label