xrc10 / formal-sty-trans Goto Github PK

Namespace(adaptive_softmax_cutoff=None, arch='sty_transformer', attention_dropout=0.0, clip_norm=25, cnn_dropout=0.5, cnn_filters=100, criterion='cross_entropy', data='/content/formal-sty-trans/pro_data.txt', decoder_attention_heads=8, decoder_embed_dim=512, decoder_embed_path=None, decoder_ffn_embed_dim=2048, decoder_layers=6, decoder_learned_pos=False, decoder_normalize_before=False, device_id=0, distributed_backend='nccl', distributed_init_method=None, distributed_port=-1, distributed_rank=0, distributed_world_size=1, dropout=0.1, encoder_attention_heads=8, encoder_embed_dim=512, encoder_embed_path=None, encoder_ffn_embed_dim=2048, encoder_layers=6, encoder_learned_pos=False, encoder_normalize_before=False, fp16=False, keep_interval_updates=-1, left_pad_source='True', left_pad_target='False', log_format=None, log_interval=1000, lr=[0.25], lr_scheduler='reduce_lr_on_plateau', lr_shrink=0.1, max_epoch=0, max_sentences=None, max_sentences_valid=None, max_source_positions=1024, max_target_positions=1024, max_tokens=6000, max_update=0, min_loss_scale=0.0001, min_lr=1e-05, momentum=0.99, no_epoch_checkpoints=False, no_progress_bar=False, no_save=False, no_token_positional_embeddings=False, optimizer='nag', pre_train_max_epoch=0, raw_text=False, relu_dropout=0.0, restore_best=False, restore_file='checkpoint_last.pt', save_dir='checkpoints', save_interval=1, save_interval_updates=0, seed=1, sentence_avg=False, share_all_embeddings=True, share_decoder_input_output_embed=False, skip_invalid_size_inputs_valid_test=False, source_lang=None, target_lang=None, task='translation', train_subset='train', update_freq=[1], valid_subset='valid', validate_interval=1, weight_decay=0.0)
Traceback (most recent call last):
File "train.py", line 469, in
main(args)
File "train.py", line 32, in main
task = tasks.setup_task(args)
File "/content/formal-sty-trans/formal-sty-trans/fairseq/tasks/init.py", line 19, in setup_task
return TASK_REGISTRY[args.task].setup_task(args)
File "/content/formal-sty-trans/formal-sty-trans/fairseq/tasks/translation.py", line 57, in setup_task
args.source_lang, args.target_lang = data_utils.infer_language_pair(args.data)
File "/content/formal-sty-trans/formal-sty-trans/fairseq/data/data_utils.py", line 21, in infer_language_pair
for filename in os.listdir(path):
NotADirectoryError: [Errno 20] Not a directory: '/content/formal-sty-trans/pro_data.txt'

  File "train.py", line 469, in <module>
    main(args)
  File "train.py", line 181, in main
    trg_plain_epoch_iter=trg_plain_epoch_iter,
  File "train.py", line 241, in train
    for k, v in log_output.items():

I get this error while training (I ran pipeline.sh). log_output is None. Can someone suggest what is wrong?