diff --git "a/wandb/run-20220731_115136-a9kwr28f/files/output.log" "b/wandb/run-20220731_115136-a9kwr28f/files/output.log"
new file mode 100644--- /dev/null
+++ "b/wandb/run-20220731_115136-a9kwr28f/files/output.log"
@@ -0,0 +1,1433 @@
+INFO:__main__:Training/evaluation parameters FlaxTrainingArguments(
+_n_gpu=0,
+adafactor=False,
+adam_beta1=0.9,
+adam_beta2=0.999,
+adam_epsilon=1e-08,
+auto_find_batch_size=False,
+bf16=False,
+bf16_full_eval=False,
+data_seed=None,
+dataloader_drop_last=False,
+dataloader_num_workers=0,
+dataloader_pin_memory=True,
+ddp_bucket_cap_mb=None,
+ddp_find_unused_parameters=None,
+debug=[],
+deepspeed=None,
+disable_tqdm=False,
+do_eval=True,
+do_predict=False,
+do_train=True,
+eval_accumulation_steps=None,
+eval_delay=0,
+eval_steps=3153,
+evaluation_strategy=steps,
+fp16=False,
+fp16_backend=auto,
+fp16_full_eval=False,
+fp16_opt_level=O1,
+fsdp=[],
+fsdp_min_num_params=0,
+fsdp_transformer_layer_cls_to_wrap=None,
+full_determinism=False,
+gradient_accumulation_steps=2,
+gradient_checkpointing=True,
+greater_is_better=None,
+group_by_length=True,
+half_precision_backend=auto,
+hub_model_id=NbAiLab/wav2vec2-1b-npsc-nst,
+hub_private_repo=False,
+hub_strategy=every_save,
+hub_token=<HUB_TOKEN>,
+ignore_data_skip=False,
+include_inputs_for_metrics=False,
+jit_mode_eval=False,
+label_names=None,
+label_smoothing_factor=0.0,
+learning_rate=0.0008,
+length_column_name=input_length,
+load_best_model_at_end=False,
+local_rank=-1,
+log_level=-1,
+log_level_replica=-1,
+log_on_each_node=True,
+logging_dir=./runs/Jul31_11-51-32_t1v-n-eedfb410-w-0,
+logging_first_step=False,
+logging_nan_inf_filter=True,
+logging_steps=100,
+logging_strategy=steps,
+lr_scheduler_type=linear,
+matmul_precision=bfloat16,
+max_grad_norm=1.0,
+max_steps=-1,
+metric_for_best_model=None,
+mp_parameters=,
+multisteps=False,
+no_cuda=False,
+num_train_epochs=40.0,
+optim=adamw_hf,
+output_dir=./,
+overwrite_output_dir=True,
+past_index=-1,
+per_device_eval_batch_size=12,
+per_device_train_batch_size=12,
+precision=full_mixed,
+prediction_loss_only=False,
+push_to_hub=True,
+push_to_hub_model_id=None,
+push_to_hub_organization=None,
+push_to_hub_token=<PUSH_TO_HUB_TOKEN>,
+ray_scope=last,
+remove_unused_columns=True,
+report_to=['tensorboard', 'wandb'],
+resume_from_checkpoint=None,
+run_name=./,
+save_on_each_node=False,
+save_steps=3153,
+save_strategy=steps,
+save_total_limit=5,
+seed=42,
+sharded_ddp=[],
+skip_memory_metrics=True,
+tf32=None,
+torchdynamo=None,
+tpu_metrics_debug=False,
+tpu_num_cores=None,
+use_ipex=False,
+use_legacy_prediction_loop=False,
+warmup_ratio=0.0,
+warmup_steps=4000,
+weight_decay=0.0,
+xpu_backend=None,
+)
+INFO:__main__:JAX devices: 8, matmul precision: bfloat16
+WARNING:datasets.builder:Reusing dataset nst (/home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53)
+100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 77.58it/s]
+WARNING:datasets.builder:Reusing dataset npsc (/home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc)
+100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 472.15it/s]
+WARNING:datasets.arrow_dataset:Loading cached split indices for dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-a18d58183d9bf996.arrow and /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-f883e246d28776da.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-1ecb897badea6b99.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-e8c53f9b4a092be2.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-99016c8af960e19d.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-d7675bb64e8cbb95.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-35cb526c6e844fe1.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-9ef6aa8735c2e25f.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-b96eb3221fd7bdcd.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-5f88d447c9e96a29.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-1db3024fc21398d0.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-fe9bf9aa3972dc9e.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-d47ebd3444326a96.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-100513a9bb58a7d2.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-eae23efdd20c9820.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-47204e714dab1e26.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-ef97747360cf8f77.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-849c0d5e70b1eae6.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-9ee4d61ca1de5fd3.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-64d9a4db7163286d.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-93d3f904dbd9dfed.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-048d205a760fb7b1.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-8252e7452ed22a3f.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-b46b71c0a44ac025.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-981266ba1dfee0dd.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-836e0b13e6c79682.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-4c07ad0c6e9209a9.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-6755dbc96791ea74.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-30999bac01ddf169.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-88ce81bdaf3537c7.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-4462dee818c7228a.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-dbd3462f0b7ec1ca.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-2c1eabbcdb92ac67.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-8c4ca51a902b3378.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-39cf8874cdcb5fad.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-72a154bf3995be4e.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-83a401ee1a5ae4b0.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-f7c303b13c9787f5.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-deb16df6d6f11098.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-e2ed8b7ee6a49bbf.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-a89f8a703c382829.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-ad6ae0c2c5b5db00.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-718dab4c699166bc.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-07acbb44d2332ddf.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-aa82cb01bcd0315e.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-a02927894152e700.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-7bb336297bc0fe6b.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-c453683ef7d1f91f.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-87430deb9a558175.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-364293ab4f931379.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-8d53639da64e470b.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-e51ebb4af271a8d2.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-0f77b97508d35aa2.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-6ddb824270d7c1d3.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-4fe4b3c17e4ee8f6.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-22b72f0bacf3763a.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-d44354918759d63c.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-1a3934bd8e1c854c.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-eadbb6bd5b728b54.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-c366355744a6b4fb.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-fd746182fc420273.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-64ffdd3462151b96.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-c050f920ab9f5bf5.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-0e1e01c9f06c1bf2.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-decafc8505e37441.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-9a03142b724fdaef.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-76579b4a85e95b63.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-c2a806b0458860dc.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-6a3cbf3c5b456cef.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-37cabe610bd73f12.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-daa1f848623a5f8b.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-2691698209721423.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-ba587113d73c0469.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-4b7a826ff62e9190.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-f48a7e48ca1be4a1.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-ea1bea731e738d53.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-9bbb6bdad70a6bc4.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-14e88ec571f8c10c.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-12e5c26566ad2467.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-7e04bd4017d30913.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-3623af720c33578b.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-de63ddccbaaa2408.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-5922723cdae1242a.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-6e64af507b54c63d.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-6cc574fd29691232.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-71e0a09e89b40263.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-cdef3fde897c2328.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-5346080ba33a9efa.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-d5b0c95ba6dddb6e.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-7b39c3af46b09ae0.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-973f3faadf8c59ce.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-31d5502f147ff08d.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-e5065fe32e9be0e1.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-a74fe01a603aebe1.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-07572c953bfc5d29.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-50df9810116a3f1c.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-4b2bc354a7716465.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-7298022e3f7e9c11.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-5f1b0cfc50c27c43.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-2a37559661ad05de.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-00ad27889f41a2e4.arrow
+WARNING:datasets.arrow_dataset:Loading cached shuffled indices for dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-a84d3ea2f9c53bb3.arrow
+WARNING:datasets.arrow_dataset:Loading cached shuffled indices for dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-860c257305cbd095.arrow
+WARNING:datasets.arrow_dataset:Loading cached shuffled indices for dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-4107db6b55e886b5.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-2a7d46aeb9705209.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-5465b0578d4d1dd6.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-dd436d3509962c33.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-81e279f107529ddd.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-0f6d5e486066b438.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-5196a627dcb5575b.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-c40a3b109e32fdcf.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-0010944e837ede95.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-77d3c26a1d78844f.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-b2ca09d43b867639.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-cf1012298a4f080f.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-22cdaa8b64a3143d.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-b42663e1783f7f2d.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-fe2d3a4def8e2e27.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-8bebcd60bda2ac82.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-8b63b4e4da3cc4ca.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-2c9c07d9c528c424.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-03d13a49f91a0350.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-7f5b8eae60c52bd1.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-e383963499ecb6a8.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-c644a1d85fd2789f.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-edafc7330613f669.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-fe06f91fbf084a48.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-2bf654e25f5915f4.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-804ffcf68527c977.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-f3c558563706248e.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-686bbe2ae9f6115c.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-e37701abaca6e19d.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-ad3854e8f2fb2252.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-d404e04fb3f77dff.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-6994281014f7cb8e.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-6eb6782ef81ab287.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-f2c09930a2e9c5d6.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-d2137ee267f7e063.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-3ce2d95d3d7df934.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-b7d05394fb392e55.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-b8e5af9229e97ab3.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-1f3b605719428947.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-24da4e84c07bc816.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-38b8ba74c4e2559c.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-a0769aba5df331b7.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-986ad0784997b447.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-abc305b67cf98c81.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-81fe433ae04ce1d9.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-b4043a33396e06ad.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-b2a4386334d34964.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-e5e0f56bc0836ef6.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-0b4881a47596a8b5.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-8d88027dc513f3f2.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-2bbc98a1e85edcf7.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-58671958e0bce2ab.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-1b8d037b59bdfe44.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-c6fddf4c4bdb3cf3.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-6f9d5c03685a50b1.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-c115605b8f1c44d8.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-7267f62f29b4d8b2.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-1224fb2796c62199.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-192f3cb60e9dbb91.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-53a889aa100b8e34.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-5ec8414a7e29ed0b.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-97b78bc6e204c38b.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-7130e0c7c26247e9.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-74d6344ccf6f0513.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-eb64974c7f40c5d7.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-60b4b6d34c00edc7.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-591ff73292ab64d5.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-d7bb3d84d987ec16.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-093f253a3bc3c623.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-5d561e097b476d1e.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-dfa3bd868fdb8264.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-fb9da51706446e03.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-f2817e2a00de495b.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-8e3f84eb9a986f8e.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-26c33f08cbef01da.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-65dd2d48770a670f.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-4f35f67b714124ef.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-61a7b1dd733379c1.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-bd2063716b88c5e3.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-1138c5a00fe2cdf9.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-fad78b72fcc70083.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-791904043c817c80.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-ecfeeb161e769e6d.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-3b44f9e190a56d08.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-121ec2910dd9950a.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-bc0a6f115b1e0c7d.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-2cb67d1b83b5483e.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-cfd2a5ebc43e35cc.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-84a9f5f352433666.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-9a7c8f6ad347a417.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-355e6a58a8699922.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-3d57c8c4d698ef05.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-48d50bfb849e2ce3.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-a4175a5390dc6934.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-4b379c14df26aae1.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-d25b011318a9820a.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-e204efc6b9dec025.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-be94056ab8967994.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-169c7a04853fedfe.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-3c975d98fca8b01e.arrow
+WARNING:datasets.arrow_dataset:Loading cached shuffled indices for dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-72754550393bd27b.arrow
+WARNING:datasets.arrow_dataset:Loading cached shuffled indices for dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-7bf74cab31d17a04.arrow
+WARNING:datasets.arrow_dataset:Loading cached shuffled indices for dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___npsc/16K_mp3/1.0.0/7e6298330579d622e10a8d4637959161ad242d9af9212c25aaa958b55df675fc/cache-bde0796d68afa9b7.arrow
+loading configuration file https://huggingface.co/facebook/wav2vec2-xls-r-1b/resolve/main/config.json from cache at /home/javierr/.cache/huggingface/transformers/19f816c26d6fef49a4dfc0fc6b841c37792a250d2697d8432769f8af5698f1dc.90dd5f300087b6277c408283c36aefa2efb15afd0d3e210b3a7c3f3efc478d03
+Model config Wav2Vec2Config {
+  "activation_dropout": 0.0,
+  "adapter_kernel_size": 3,
+  "adapter_stride": 2,
+  "add_adapter": false,
+  "apply_spec_augment": true,
+  "architectures": [
+    "Wav2Vec2ForPreTraining"
+  ],
+  "attention_dropout": 0.1,
+  "bos_token_id": 1,
+  "classifier_proj_size": 256,
+  "codevector_dim": 1024,
+  "contrastive_logits_temperature": 0.1,
+  "conv_bias": true,
+  "conv_dim": [
+    512,
+    512,
+    512,
+    512,
+    512,
+    512,
+    512
+  ],
+  "conv_kernel": [
+    10,
+    3,
+    3,
+    3,
+    3,
+    2,
+    2
+  ],
+  "conv_stride": [
+    5,
+    2,
+    2,
+    2,
+    2,
+    2,
+    2
+  ],
+  "ctc_loss_reduction": "sum",
+  "ctc_zero_infinity": false,
+  "diversity_loss_weight": 0.1,
+  "do_stable_layer_norm": true,
+  "eos_token_id": 2,
+  "feat_extract_activation": "gelu",
+  "feat_extract_dropout": 0.0,
+  "feat_extract_norm": "layer",
+  "feat_proj_dropout": 0.1,
+  "feat_quantizer_dropout": 0.0,
+  "final_dropout": 0.0,
+  "fuse_matmuls": false,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout": 0.1,
+  "hidden_size": 1280,
+  "initializer_range": 0.02,
+  "intermediate_size": 5120,
+  "layer_norm_eps": 1e-05,
+  "layerdrop": 0.1,
+  "mask_feature_length": 10,
+  "mask_feature_min_masks": 0,
+  "mask_feature_prob": 0.0,
+  "mask_time_length": 10,
+  "mask_time_min_masks": 2,
+  "mask_time_prob": 0.075,
+  "model_type": "wav2vec2",
+  "num_adapter_layers": 3,
+  "num_attention_heads": 16,
+  "num_codevector_groups": 2,
+  "num_codevectors_per_group": 320,
+  "num_conv_pos_embedding_groups": 16,
+  "num_conv_pos_embeddings": 128,
+  "num_feat_extract_layers": 7,
+  "num_hidden_layers": 48,
+  "num_negatives": 100,
+  "output_hidden_size": 1280,
+  "pad_token_id": 0,
+  "proj_codevector_dim": 1024,
+  "tdnn_dilation": [
+    1,
+    2,
+    3,
+    1,
+    1
+  ],
+  "tdnn_dim": [
+    512,
+    512,
+    512,
+    512,
+    1500
+  ],
+  "tdnn_kernel": [
+    5,
+    3,
+    3,
+    1,
+    1
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.21.0",
+  "use_scan": false,
+  "use_weighted_layer_sum": false,
+  "vocab_size": 32,
+  "xvector_output_dim": 512
+}
+loading feature extractor configuration file https://huggingface.co/facebook/wav2vec2-xls-r-1b/resolve/main/preprocessor_config.json from cache at /home/javierr/.cache/huggingface/transformers/a33f3a17d64af3dc7d6af9fe68e6fcbe153fd601b94de9e09ff27c6916beed02.d4484dc1c81456a2461485e7168b04347a7b9a4e3b1ef3aba723323b33e12326
+Feature extractor Wav2Vec2FeatureExtractor {
+  "do_normalize": true,
+  "feature_extractor_type": "Wav2Vec2FeatureExtractor",
+  "feature_size": 1,
+  "padding_side": "right",
+  "padding_value": 0,
+  "return_attention_mask": true,
+  "sampling_rate": 16000
+}
+loading file ./vocab.json
+loading file ./tokenizer_config.json
+loading file ./added_tokens.json
+loading file ./special_tokens_map.json
+Adding <s> to the vocabulary
+Adding </s> to the vocabulary
+loading weights file https://huggingface.co/facebook/wav2vec2-xls-r-1b/resolve/main/pytorch_model.bin from cache at /home/javierr/.cache/huggingface/transformers/1b10cc2ca6452defe09996da7c9e2d4a9550e22295550c3659e8b1895c97921a.46e33ebecb25f07f270ccfa8896911dd7aeba6b646f8724d18117987926c98db
+Loading PyTorch weights from /home/javierr/.cache/huggingface/transformers/1b10cc2ca6452defe09996da7c9e2d4a9550e22295550c3659e8b1895c97921a.46e33ebecb25f07f270ccfa8896911dd7aeba6b646f8724d18117987926c98db
+PyTorch checkpoint contains 965,514,752 parameters.
+Some weights of the model checkpoint at facebook/wav2vec2-xls-r-1b were not used when initializing FlaxWav2Vec2ForCTC: {('project_hid', 'bias'), ('quantizer', 'weight_proj', 'kernel'), ('project_q', 'kernel'), ('quantizer', 'codevectors'), ('quantizer', 'weight_proj', 'bias'), ('project_hid', 'kernel'), ('project_q', 'bias')}
+- This IS expected if you are initializing FlaxWav2Vec2ForCTC from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).
+- This IS NOT expected if you are initializing FlaxWav2Vec2ForCTC from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).
+Some weights of FlaxWav2Vec2ForCTC were not initialized from the model checkpoint at facebook/wav2vec2-xls-r-1b and are newly initialized: {('lm_head', 'kernel'), ('lm_head', 'bias')}
+You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
+/data/flax/lib/python3.8/site-packages/transformers/modeling_flax_utils.py:904: FutureWarning: jax.tree_map is deprecated, and will be removed in a future release. Use jax.tree_util.tree_map instead.
+  param_dtypes = jax.tree_map(lambda x: x.dtype, state)
+removing punctuation from train split #0:  97%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▋      | 9219/9523 [00:01<00:00, 8464.27ex/s]
+removing punctuation from train split #1:  73%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▊                                                      | 6905/9523 [00:00<00:00, 6542.83ex/s]
+removing punctuation from train split #2:  80%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍                                      | 7659/9523 [00:00<00:00, 8486.65ex/s]
+removing punctuation from train split #3:  87%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▉                         | 8310/9523 [00:00<00:00, 8538.50ex/s]
+removing punctuation from train split #4:  79%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▊                                         | 7531/9523 [00:00<00:00, 9444.82ex/s]
+removing punctuation from train split #5:  66%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏                                                                  | 6291/9523 [00:00<00:00, 9023.12ex/s]
+removing punctuation from train split #6:  68%|█████████████████████████████████████████████���████████████████████████████████████████████████████████████████████████████████████████                                                               | 6481/9523 [00:00<00:00, 9107.60ex/s]
+removing punctuation from train split #7:  66%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▎                                                                   | 6249/9523 [00:00<00:00, 8988.05ex/s]
+removing punctuation from train split #8:  57%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏                                                                                    | 5423/9523 [00:00<00:00, 9092.35ex/s]
+removing punctuation from train split #9:  27%|█████████████████████████████████████████████████████▎                                                                                                                                               | 2580/9523 [00:00<00:00, 8676.21ex/s]
+removing punctuation from train split #10:  27%|█████████████████████████████████████████████████████▏                                                                                                                                              | 2585/9523 [00:00<00:00, 8672.24ex/s]
+removing punctuation from train split #11:  17%|██████████████████████████████████                                                                                                                                                                  | 1653/9523 [00:00<00:00, 8296.13ex/s]
+removing punctuation from train split #12:  18%|██████████████████████████████████▉                                                                                                                                                                 | 1699/9522 [00:00<00:00, 8529.66ex/s]
+removing punctuation from train split #13:   8%|███████████████▉                                                                                                                                                                                     | 768/9522 [00:00<00:01, 7674.68ex/s]
+removing punctuation from train split #21: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 9522/9522 [00:01<00:00, 8339.20ex/s]
+removing punctuation from train split #22: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 9522/9522 [00:01<00:00, 8403.84ex/s]
+removing punctuation from train split #23: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████��████████████████████████████████| 9522/9522 [00:01<00:00, 8867.39ex/s]
+removing punctuation from train split #25: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 9522/9522 [00:01<00:00, 8684.47ex/s]
+removing punctuation from train split #24: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 9522/9522 [00:01<00:00, 7853.68ex/s]
+removing punctuation from train split #27: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 9522/9522 [00:01<00:00, 8620.91ex/s]
+removing punctuation from train split #26: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 9522/9522 [00:01<00:00, 8583.41ex/s]
+removing punctuation from train split #29: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 9522/9522 [00:01<00:00, 8610.11ex/s]
+removing punctuation from train split #30: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 9522/9522 [00:01<00:00, 8824.45ex/s]
+removing punctuation from train split #28: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 9522/9522 [00:01<00:00, 8004.81ex/s]
+removing punctuation from train split #31: 100%|███████████████████████████████████████████████████████████████████��████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 9522/9522 [00:01<00:00, 8808.18ex/s]
+removing punctuation from train split #17:  93%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▊              | 8831/9522 [00:01<00:00, 9415.85ex/s]
+removing punctuation from train split #18:  89%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▋                      | 8439/9522 [00:01<00:00, 8195.58ex/s]
+removing punctuation from train split #19:  80%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍                                       | 7603/9522 [00:00<00:00, 8073.50ex/s]
+removing punctuation from train split #20:  72%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍                                                       | 6824/9522 [00:00<00:00, 8351.80ex/s]
+removing punctuation from train split #18:  98%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▊    | 9317/9522 [00:01<00:00, 8367.25ex/s]
+removing punctuation from train split #19:  89%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▌                     | 8483/9522 [00:01<00:00, 8286.78ex/s]
+removing punctuation from train split #19:  98%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▊   | 9370/9522 [00:01<00:00, 8459.03ex/s]
+removing punctuation from train split #21:  79%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▋                                         | 7518/9522 [00:00<00:00, 8104.87ex/s]
+removing punctuation from train split #20: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏| 9484/9522 [00:01<00:00, 8404.17ex/s]
+removing punctuation from train split #23:  64%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏                                                                      | 6081/9522 [00:00<00:00, 8466.54ex/s]
+removing punctuation from train split #21:  98%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▊    | 9318/9522 [00:01<00:00, 8557.81ex/s]
+removing punctuation from train split #22:  90%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████                   | 8603/9522 [00:01<00:00, 8308.04ex/s]
+removing punctuation from train split #22: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▌| 9501/9522 [00:01<00:00, 8504.05ex/s]
+removing punctuation from train split #23:  95%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████          | 9039/9522 [00:01<00:00, 9396.94ex/s]
+removing punctuation from train split #24:  71%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏                                                       | 6808/9522 [00:00<00:00, 7941.62ex/s]
+removing punctuation from train split #25:  82%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████��███████████████████████████████████████████████▏                                  | 7828/9522 [00:00<00:00, 8394.50ex/s]
+removing punctuation from train split #24:  91%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████                  | 8651/9522 [00:01<00:00, 8587.13ex/s]
+removing punctuation from train split #25:  92%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▋               | 8777/9522 [00:01<00:00, 8718.44ex/s]
+removing punctuation from train split #26:  82%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████                                    | 7778/9522 [00:00<00:00, 8671.15ex/s]
+removing punctuation from train split #26:  91%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▎                | 8710/9522 [00:01<00:00, 8863.56ex/s]
+removing punctuation from train split #27:  92%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▌                | 8723/9522 [00:01<00:00, 8590.32ex/s]
+removing punctuation from train split #28:  75%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▎                                                 | 7109/9522 [00:00<00:00, 8145.12ex/s]
+removing punctuation from train split #28:  84%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▎                              | 8032/9522 [00:01<00:00, 8465.88ex/s]
+removing punctuation from train split #31:  65%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▌                                                                    | 6196/9522 [00:00<00:00, 9120.22ex/s]
+removing punctuation from train split #28:  94%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████           | 8988/9522 [00:01<00:00, 8789.13ex/s]
+removing punctuation from train split #30:  94%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍           | 8959/9522 [00:01<00:00, 9110.20ex/s]
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-9045c40777a7f3cb_00028_of_00032.arrow8973/9522 [00:01<00:00, 8816.90ex/s]
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-9045c40777a7f3cb_00029_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-9045c40777a7f3cb_00030_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-9045c40777a7f3cb_00031_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-296256ac19389512_00000_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-296256ac19389512_00001_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-296256ac19389512_00002_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-296256ac19389512_00003_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-296256ac19389512_00004_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-296256ac19389512_00005_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-296256ac19389512_00006_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-296256ac19389512_00007_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-296256ac19389512_00008_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-296256ac19389512_00009_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-296256ac19389512_00010_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-296256ac19389512_00011_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-296256ac19389512_00012_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-296256ac19389512_00013_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-296256ac19389512_00014_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-296256ac19389512_00015_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-296256ac19389512_00016_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-296256ac19389512_00017_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-296256ac19389512_00018_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-296256ac19389512_00019_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-296256ac19389512_00020_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-296256ac19389512_00021_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-296256ac19389512_00022_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-296256ac19389512_00023_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-296256ac19389512_00024_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-296256ac19389512_00025_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-296256ac19389512_00026_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-296256ac19389512_00027_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-296256ac19389512_00028_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-296256ac19389512_00029_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-296256ac19389512_00030_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-296256ac19389512_00031_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-30518bb67e20f98b_00000_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-30518bb67e20f98b_00001_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-30518bb67e20f98b_00002_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-30518bb67e20f98b_00003_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-30518bb67e20f98b_00004_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-30518bb67e20f98b_00005_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-30518bb67e20f98b_00006_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-30518bb67e20f98b_00007_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-30518bb67e20f98b_00008_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-30518bb67e20f98b_00009_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-30518bb67e20f98b_00010_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-30518bb67e20f98b_00011_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-30518bb67e20f98b_00012_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-30518bb67e20f98b_00013_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-30518bb67e20f98b_00014_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-30518bb67e20f98b_00015_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-30518bb67e20f98b_00016_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-30518bb67e20f98b_00017_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-30518bb67e20f98b_00018_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-30518bb67e20f98b_00019_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-30518bb67e20f98b_00020_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-30518bb67e20f98b_00021_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-30518bb67e20f98b_00022_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-30518bb67e20f98b_00023_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-30518bb67e20f98b_00024_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-30518bb67e20f98b_00025_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-30518bb67e20f98b_00026_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-30518bb67e20f98b_00027_of_00032.arrow
+WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/javierr/.cache/huggingface/datasets/NbAiLab___nst/no-close/1.0.0/c9a1b1da598ea4a1b584c09ff0e7b0e06974f08bd0329959417147f3f5866f53/cache-30518bb67e20f98b_00028_of_00032.arrow
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+preprocess dataset #17:  92%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏                | 8758/9496 [04:36<00:23, 31.35ex/s]
+preprocess dataset #18:  85%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▋                                 | 8038/9496 [04:35<00:49, 29.59ex/s]
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+preprocess dataset #20:  84%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▋                                  | 7997/9496 [04:33<00:47, 31.27ex/s]
+preprocess dataset #21:  84%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍                                  | 7981/9496 [04:32<00:46, 32.72ex/s]
+preprocess dataset #22:  83%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▌                                    | 7902/9496 [04:31<00:51, 30.77ex/s]
+preprocess dataset #23:  83%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████                                    | 7926/9496 [04:30<00:50, 31.30ex/s]
+preprocess dataset #24:  83%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏                                    | 7886/9496 [04:29<00:54, 29.80ex/s]
+preprocess dataset #25:  82%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍                                      | 7809/9496 [04:28<00:49, 33.97ex/s]
+preprocess dataset #26:  82%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍                                      | 7811/9496 [04:26<00:51, 32.56ex/s]
+preprocess dataset #27:  82%|█████████████████████████████████████████████████████████████████████████████████████████████████████████���███████████████████████████████████████████████████████████████████████▌                                       | 7768/9496 [04:25<00:50, 33.95ex/s]
+preprocess dataset #28:  82%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏                                      | 7799/9496 [04:24<00:52, 32.47ex/s]
+preprocess dataset #29:  82%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▎                                       | 7760/9496 [04:23<00:53, 32.74ex/s]
+preprocess dataset #30:  81%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏                                        | 7709/9496 [04:22<00:54, 32.67ex/s]
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+preprocess dataset #11:  99%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▌  | 9390/9496 [04:50<00:03, 26.51ex/s]
+preprocess dataset #12:  98%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍    | 9297/9496 [04:49<00:07, 26.81ex/s]
+preprocess dataset #13:  89%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████                         | 8404/9496 [04:48<00:43, 25.04ex/s]
+preprocess dataset #14:  97%|█████████████████████���█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍     | 9255/9496 [04:47<00:09, 26.27ex/s]
+preprocess dataset #15:  89%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▌                        | 8427/9496 [04:46<00:33, 31.61ex/s]
+preprocess dataset #16:  89%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▊                        | 8435/9496 [04:45<00:33, 31.97ex/s]
+preprocess dataset #17:  95%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▌           | 8995/9496 [04:43<00:15, 33.09ex/s]
+preprocess dataset #18:  87%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏                           | 8280/9496 [04:43<00:42, 28.81ex/s]
+preprocess dataset #19:  86%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍                             | 8202/9496 [04:42<00:43, 29.51ex/s]
+preprocess dataset #20:  87%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████                             | 8227/9496 [04:41<00:46, 27.08ex/s]
+preprocess dataset #21:  86%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▌                             | 8207/9496 [04:40<00:50, 25.35ex/s]
+preprocess dataset #22:  85%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍                               | 8117/9496 [04:39<00:46, 29.52ex/s]
+preprocess dataset #23:  86%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▉                               | 8135/9496 [04:38<01:02, 21.90ex/s]
+preprocess dataset #24:  85%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▎                               | 8110/9496 [04:37<00:47, 29.10ex/s]
+preprocess dataset #25:  85%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍                                 | 8029/9496 [04:36<00:59, 24.63ex/s]
+preprocess dataset #26:  85%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▊                                 | 8045/9496 [04:34<00:54, 26.80ex/s]
+preprocess dataset #27:  84%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▉                                  | 8005/9496 [04:33<01:39, 14.97ex/s]
+preprocess dataset #28:  85%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍                                 | 8027/9496 [04:32<01:07, 21.86ex/s]
+preprocess dataset #29:  84%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▊                                  | 7999/9496 [04:30<00:49, 30.31ex/s]
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+
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+preprocess dataset #29:  85%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▎                               | 8109/9496 [04:35<00:51, 27.10ex/s]
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+
+
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+
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+preprocess dataset #28: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████��█████████████▉| 9491/9496 [05:10<00:00, 57.23ex/s]
+preprocess dataset #29: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▎| 9468/9496 [05:09<00:00, 68.30ex/s]
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+preprocess dataset #29: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▋| 9484/9496 [05:09<00:00, 63.09ex/s]
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+preprocess dataset #30:  99%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 9424/9496 [05:08<00:00, 72.47ex/s]
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+
+preprocess dataset #8:   0%|                                                                                                                                                                                                                                     | 0/1267 [00:00<?, ?ex/s]
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+preprocess dataset #14:   0%|                                                                                                                                                                                                                                    | 0/1267 [00:00<?, ?ex/s]
+preprocess dataset #15:   0%|                                                                                                                                                                                                                                    | 0/1267 [00:00<?, ?ex/s]
+preprocess dataset #16:   0%|                                                                                                                                                                                                                                    | 0/1267 [00:00<?, ?ex/s]
+preprocess dataset #17:   0%|                                                                                                                                                                                                                                    | 0/1267 [00:00<?, ?ex/s]
+preprocess dataset #18:   0%|                                                                                                                                                                                                                                    | 0/1267 [00:00<?, ?ex/s]
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+preprocess dataset #20:   0%|                                                                                                                                                                                                                                    | 0/1266 [00:00<?, ?ex/s]
+preprocess dataset #21:   0%|                                                                                                                                                                                                                                    | 0/1266 [00:00<?, ?ex/s]
+preprocess dataset #22:   4%|█████████▏                                                                                                                                                                                                                 | 53/1266 [00:02<00:34, 35.33ex/s]
+preprocess dataset #23:   4%|████████▋                                                                                                                                                                                                                  | 50/1266 [00:02<00:38, 31.51ex/s]
+preprocess dataset #24:   4%|████████▉                                                                                                                                                                                                                  | 52/1266 [00:02<00:35, 33.98ex/s]
+preprocess dataset #25:   4%|█████████▎                                                                                                                                                                                                                 | 54/1266 [00:02<00:34, 35.46ex/s]
+preprocess dataset #26:   4%|█████████▌                                                                                                                                                                                                                 | 55/1266 [00:02<00:33, 36.65ex/s]
+preprocess dataset #27:   3%|██████▌                                                                                                                                                                                                                    | 38/1266 [00:01<00:38, 32.08ex/s]
+preprocess dataset #28:   3%|██████▌                                                                                                                                                                                                                    | 38/1266 [00:01<00:39, 31.05ex/s]
+preprocess dataset #29:   3%|██████▌                                                                                                                                                                                                                    | 38/1266 [00:01<00:36, 33.70ex/s]
+preprocess dataset #30:   3%|██████▌                                                                                                                                                                                                                    | 38/1266 [00:01<00:41, 29.66ex/s]
+
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+preprocess dataset #30:  94%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍             | 1187/1266 [00:35<00:01, 59.21ex/s]
+preprocess dataset #30:  95%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▋           | 1200/1266 [00:35<00:01, 60.17ex/s]
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+preprocess dataset #26:  81%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▋                                        | 1031/1266 [00:40<00:21, 10.73ex/s]
+preprocess dataset #27:  82%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▉                                       | 1038/1266 [00:39<00:10, 21.86ex/s]
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+
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+preprocess dataset #19:   1%|███▎                                                                                                                                                                                                                       | 38/2554 [00:01<01:15, 33.41ex/s]
+preprocess dataset #20:   1%|███▏                                                                                                                                                                                                                       | 37/2554 [00:01<01:11, 35.15ex/s]
+preprocess dataset #21:   1%|██▌                                                                                                                                                                                                                        | 30/2554 [00:01<01:22, 30.47ex/s]
+preprocess dataset #22:   1%|██▌                                                                                                                                                                                                                        | 30/2554 [00:01<01:22, 30.68ex/s]
+preprocess dataset #23:   1%|██▋                                                                                                                                                                                                                        | 31/2554 [00:01<01:21, 30.86ex/s]
+preprocess dataset #24:   1%|██▋                                                                                                                                                                                                                        | 32/2554 [00:01<01:17, 32.39ex/s]
+preprocess dataset #25:   1%|██▍                                                                                                                                                                                                                        | 28/2554 [00:01<01:27, 28.99ex/s]
+preprocess dataset #26:   1%|██▏                                                                                                                                                                                                                        | 25/2554 [00:01<01:30, 27.82ex/s]
+preprocess dataset #27:   1%|██▎                                                                                                                                                                                                                        | 27/2554 [00:01<01:26, 29.26ex/s]
+preprocess dataset #28:   1%|█▋                                                                                                                                                                                                                         | 20/2554 [00:01<01:47, 23.52ex/s]
+preprocess dataset #29:   1%|█▊                                                                                                                                                                                                                         | 21/2554 [00:01<01:47, 23.62ex/s]
+preprocess dataset #30:   1%|█▊                                                                                                                                                                                                                         | 21/2554 [00:01<01:39, 25.40ex/s]
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+preprocess dataset #29:  96%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▉         | 2448/2554 [01:18<00:03, 29.49ex/s]
+preprocess dataset #30:  96%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏        | 2451/2554 [01:18<00:02, 37.91ex/s]
+preprocess dataset #22:  98%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏   | 2509/2554 [01:20<00:01, 30.81ex/s]
+preprocess dataset #25:  98%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▎    | 2499/2554 [01:20<00:01, 27.51ex/s]
+preprocess dataset #24:  99%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████   | 2520/2554 [01:20<00:01, 30.28ex/s]
+preprocess dataset #25:  98%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▎   | 2510/2554 [01:20<00:01, 39.11ex/s]
+preprocess dataset #26:  99%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 2534/2554 [01:20<00:00, 34.08ex/s]
+preprocess dataset #27:  98%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍    | 2501/2554 [01:20<00:01, 38.41ex/s]
+preprocess dataset #28:  98%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▉     | 2494/2554 [01:20<00:01, 33.65ex/s]
+preprocess dataset #29:  99%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▊   | 2516/2554 [01:20<00:01, 37.29ex/s]
+preprocess dataset #30:  98%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏   | 2509/2554 [01:20<00:01, 28.99ex/s]
+preprocess dataset #19: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▉ | 2542/2554 [01:21<00:00, 31.88ex/s]
+preprocess dataset #24: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍| 2548/2554 [01:21<00:00, 34.88ex/s]
+preprocess dataset #22: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████��█████████████████████████▎| 2546/2554 [01:21<00:00, 38.32ex/s]
+preprocess dataset #29:  99%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▋ | 2538/2554 [01:20<00:00, 34.28ex/s]
+preprocess dataset #27: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏| 2545/2554 [01:21<00:00, 52.48ex/s]
+preprocess dataset #19: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▎| 2546/2554 [01:21<00:00, 30.02ex/s]
+preprocess dataset #19: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2554/2554 [01:22<00:00, 28.92ex/s]
+preprocess dataset #30: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏| 2545/2554 [01:21<00:00, 44.54ex/s]
+preprocess dataset #27: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▋| 2551/2554 [01:21<00:00, 44.60ex/s]
+preprocess dataset #31:  99%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▋  | 2527/2554 [01:21<00:00, 34.19ex/s]
+preprocess dataset #30: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▋| 2550/2554 [01:21<00:00, 37.55ex/s]
+preprocess dataset #28:  99%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▌ | 2537/2554 [01:21<00:00, 33.04ex/s]
+preprocess dataset #31:  99%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████  | 2531/2554 [01:21<00:00, 33.55ex/s]
+preprocess dataset #30: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2554/2554 [01:21<00:00, 33.64ex/s]
+preprocess dataset #28: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏| 2545/2554 [01:21<00:00, 30.12ex/s]
+preprocess dataset #28: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▌| 2549/2554 [01:21<00:00, 27.45ex/s]
+preprocess dataset #31:  99%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍ | 2535/2554 [01:21<00:00, 33.22ex/s]
+preprocess dataset #31:  99%|██████████████████��████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▋ | 2539/2554 [01:21<00:00, 31.37ex/s]
+preprocess dataset #31: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍| 2547/2554 [01:21<00:00, 25.39ex/s]
+#11: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 489.09ba/s]
+#7: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 336.19ba/s]
+#12: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 471.98ba/s]
+#13: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 483.76ba/s]
+#14: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 471.61ba/s]
+#15: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 489.83ba/s]
+#16: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 476.22ba/s]
+#17: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 492.69ba/s]
+#18: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 489.83ba/s]
+#19: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 484.97ba/s]
+#20: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 491.72ba/s]
+#22: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████��█████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 499.44ba/s]
+#21: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 451.80ba/s]
+#23: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 493.02ba/s]
+#24: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 506.91ba/s]
+#25: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 514.94ba/s]
+#28: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 514.94ba/s]
+#29: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 518.74ba/s]
+#30: 100%|██████████████████████████████████████████████████████████████████████████████████████████████���████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 525.80ba/s]
+#31: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 531.44ba/s]
+#27: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 321.06ba/s]
+#26: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 319.94ba/s]
+#20:   0%|                                                                                                                                                                                                                                                         | 0/10 [00:00<?, ?ba/s]
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+#30:   0%|                                                                                                                                                                                                                                                         | 0/10 [00:00<?, ?ba/s]
+#22: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 239.93ba/s]
+#23: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 284.55ba/s]
+#24: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 316.99ba/s]
+#25: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 231.90ba/s]
+#27: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 332.39ba/s]
+#26: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 251.43ba/s]
+#28: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 279.75ba/s]
+#29: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 286.33ba/s]
+#30: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 304.65ba/s]
+#31: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 333.17ba/s]
+#17:   0%|                                                                                                                                                                                                                                                          | 0/2 [00:00<?, ?ba/s]
+#18:   0%|                                                                                                                                                                                                                                                          | 0/2 [00:00<?, ?ba/s]
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+#29:   0%|                                                                                                                                                                                                                                                          | 0/2 [00:00<?, ?ba/s]
+#30:   0%|                                                                                                                                                                                                                                                          | 0/2 [00:00<?, ?ba/s]
+#28: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 331.01ba/s]
+#29: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 360.51ba/s]
+#31: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 363.57ba/s]
+#30: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 338.04ba/s]
+#17:   0%|                                                                                                                                                                                                                                                          | 0/3 [00:00<?, ?ba/s]
+#18:   0%|                                                                                                                                                                                                                                                          | 0/3 [00:00<?, ?ba/s]
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+#28:   0%|                                                                                                                                                                                                                                                          | 0/3 [00:00<?, ?ba/s]
+#29:   0%|                                                                                                                                                                                                                                                          | 0/3 [00:00<?, ?ba/s]
+#30:   0%|                                                                                                                                                                                                                                                          | 0/3 [00:00<?, ?ba/s]
+#26: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 122.54ba/s]
+#27: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████��█████████████████████████████████████████████████████| 10/10 [00:00<00:00, 125.79ba/s]
+#28: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 128.13ba/s]
+#31: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 141.83ba/s]
+#29: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 128.30ba/s]
+#30: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:00<00:00, 129.46ba/s]
+https://symbolize.stripped_domain/r/?trace=7f2b0b3573f4,7f2b0b3ab0bf,7f,bc9a1cedbcff2237&map=
+*** SIGTERM received by PID 526961 (TID 526961) on cpu 26 from PID 1520908; stack trace: ***                                                                                                                                                                       | 0/10 [00:00<?, ?ba/s]
+PC: @     0x7f2b0b3573f4  (unknown)  do_futex_wait.constprop.0
+    @     0x7f28bbb88294        976  (unknown)                                                                                                                                                                                                                     | 0/10 [00:00<?, ?ba/s]
+    @     0x7f2b0b3ab0c0  1031789712  (unknown)                                                                                                                                                                                                                    | 0/10 [00:00<?, ?ba/s]
+    @               0x80  (unknown)  (unknown)
+    @ 0xbc9a1cedbcff2238  (unknown)  (unknown)                                                                                                                                                                                                                     | 0/10 [00:00<?, ?ba/s]
+https://symbolize.stripped_domain/r/?trace=7f2b0b3573f4,7f28bbb88293,7f2b0b3ab0bf,7f,bc9a1cedbcff2237&map=fbcd4e3f2be272741f2aecd9d840a066:7f28a65eb000-7f28bbf1ac60
+E0731 12:03:15.188396  526961 coredump_hook.cc:324] RAW: Remote crash gathering disabled for SIGTERM.                                                                                                                                                              | 0/10 [00:00<?, ?ba/s]
+E0731 12:03:15.235094  526961 process_state.cc:774] RAW: Raising signal 15 with default behavior                                                                                                                                                                   | 0/10 [00:00<?, ?ba/s]
+#27:   0%|                                                                                                                                                                                                                                                         | 0/10 [00:00<?, ?ba/s]
+#28:   0%|                                                                                                                                                                                                                                                         | 0/10 [00:00<?, ?ba/s]
+#29:   0%|                                                                                                                                                                                                                                                         | 0/10 [00:00<?, ?ba/s]
+#7: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 103.93ba/s]
+#9: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 109.38ba/s]
+#10: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 112.71ba/s]
+#11: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 111.93ba/s]
+#12: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 111.85ba/s]
+#13: 100%|██████████████████████████████████████████████████████████████████████████��██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 105.46ba/s]
+#14: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 107.73ba/s]
+#15: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 93.32ba/s]
+#16: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 107.21ba/s]
+#17: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 112.64ba/s]
+#18: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 108.12ba/s]
+#19: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 105.87ba/s]
+#20: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 105.53ba/s]
+#21: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 103.22ba/s]
+#23: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 107.77ba/s]
+#22: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 70.17ba/s]
+#24: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 107.78ba/s]
+#26: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 95.22ba/s]
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+https://symbolize.stripped_domain/r/?trace=7f2b0b3573f4,7f2b0b3ab0bf,7f,bc9a1cedbcff2237&map=                                                                                                                                                                       | 0/2 [00:00<?, ?ba/s]
+*** SIGTERM received by PID 527185 (TID 527185) on cpu 13 from PID 1520908; stack trace: ***                                                                                                                                                                        | 0/2 [00:00<?, ?ba/s]
+PC: @     0x7f2b0b3573f4  (unknown)  do_futex_wait.constprop.0
+    @     0x7f28bbb88294        976  (unknown)
+    @     0x7f2b0b3ab0c0  1031789712  (unknown)                                                                                                                                                                                                                     | 0/2 [00:00<?, ?ba/s]
+    @               0x80  (unknown)  (unknown)
+    @ 0xbc9a1cedbcff2238  (unknown)  (unknown)                                                                                                                                                                                                                      | 0/2 [00:00<?, ?ba/s]
+https://symbolize.stripped_domain/r/?trace=7f2b0b3573f4,7f28bbb88293,7f2b0b3ab0bf,7f,bc9a1cedbcff2237&map=fbcd4e3f2be272741f2aecd9d840a066:7f28a65eb000-7f28bbf1ac60
+E0731 12:03:21.681308  527185 coredump_hook.cc:324] RAW: Remote crash gathering disabled for SIGTERM.                                                                                                                                                               | 0/2 [00:00<?, ?ba/s]
+E0731 12:03:21.757565  527185 process_state.cc:774] RAW: Raising signal 15 with default behavior
+#22:   0%|                                                                                                                                                                                                                                                          | 0/2 [00:00<?, ?ba/s]
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+#20: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 117.47ba/s]
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+#26: 100%|██████████████████████████████████████████████████████████████████████████████████��██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 109.19ba/s]
+#28: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 107.06ba/s]
+#27: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 94.62ba/s]
+#29: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 107.57ba/s]
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+#31: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 115.50ba/s]
+https://symbolize.stripped_domain/r/?trace=7f2b0b3573f4,7f2b0b3ab0bf,7f,bc9a1cedbcff2237&map=                                                                                                                                                                       | 0/3 [00:00<?, ?ba/s]
+*** SIGTERM received by PID 527333 (TID 527333) on cpu 17 from PID 1520908; stack trace: ***
+PC: @     0x7f2b0b3573f4  (unknown)  do_futex_wait.constprop.0
+    @     0x7f28bbb88294        976  (unknown)
+    @     0x7f2b0b3ab0c0  1031789712  (unknown)                                                                                                                                                                                                                     | 0/3 [00:00<?, ?ba/s]
+    @               0x80  (unknown)  (unknown)
+    @ 0xbc9a1cedbcff2238  (unknown)  (unknown)                                                                                                                                                                                                                      | 0/3 [00:00<?, ?ba/s]
+https://symbolize.stripped_domain/r/?trace=7f2b0b3573f4,7f28bbb88293,7f2b0b3ab0bf,7f,bc9a1cedbcff2237&map=fbcd4e3f2be272741f2aecd9d840a066:7f28a65eb000-7f28bbf1ac60
+E0731 12:03:28.291936  527333 coredump_hook.cc:324] RAW: Remote crash gathering disabled for SIGTERM.
+E0731 12:03:28.368379  527333 process_state.cc:774] RAW: Raising signal 15 with default behavior
+#21:   0%|                                                                                                                                                                                                                                                          | 0/3 [00:00<?, ?ba/s]
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+#30:   0%|                                                                                                                                                                                                                                                          | 0/3 [00:00<?, ?ba/s]
+  "architectures": [                                                                                                                                                                                                                                                | 0/3 [00:00<?, ?ba/s]
+    "Wav2Vec2ForPreTraining"
+  ],
+  "attention_dropout": 0.094,
+  "bos_token_id": 1,
+  "classifier_proj_size": 256,
+  "codevector_dim": 1024,
+  "contrastive_logits_temperature": 0.1,
+  "conv_bias": true,
+  "conv_dim": [
+    512,
+    512,
+    512,
+    512,
+    512,
+    512,
+    512
+  ],
+  "conv_kernel": [
+    10,
+    3,
+    3,
+    3,
+    3,
+    2,
+    2
+  ],
+  "conv_stride": [
+    5,
+    2,
+    2,
+    2,
+    2,
+    2,
+    2
+  ],
+  "ctc_loss_reduction": "mean",
+  "ctc_zero_infinity": true,
+  "diversity_loss_weight": 0.1,
+  "do_stable_layer_norm": true,
+  "eos_token_id": 2,
+  "feat_extract_activation": "gelu",
+  "feat_extract_dropout": 0.0,
+  "feat_extract_norm": "layer",
+  "feat_proj_dropout": 0.04,
+  "feat_quantizer_dropout": 0.0,
+  "final_dropout": 0.0,
+  "fuse_matmuls": false,
+  "gradient_checkpointing": true,
+  "hidden_act": "gelu",
+  "hidden_dropout": 0.047,
+  "hidden_size": 1280,
+  "initializer_range": 0.02,
+  "intermediate_size": 5120,
+  "layer_norm_eps": 1e-05,
+  "layerdrop": 0.041,
+  "mask_feature_length": 64,
+  "mask_feature_min_masks": 0,
+  "mask_feature_prob": 0.25,
+  "mask_time_length": 10,
+  "mask_time_min_masks": 2,
+  "mask_time_prob": 0.082,
+  "model_type": "wav2vec2",
+  "num_adapter_layers": 3,
+  "num_attention_heads": 16,
+  "num_codevector_groups": 2,
+  "num_codevectors_per_group": 320,
+  "num_conv_pos_embedding_groups": 16,
+  "num_conv_pos_embeddings": 128,
+  "num_feat_extract_layers": 7,
+  "num_hidden_layers": 48,
+  "num_negatives": 100,
+  "output_hidden_size": 1280,
+  "pad_token_id": 38,
+  "proj_codevector_dim": 1024,
+  "tdnn_dilation": [
+    1,
+    2,
+    3,
+    1,
+    1
+  ],
+  "tdnn_dim": [
+    512,
+    512,
+    512,
+    512,
+    1500
+  ],
+  "tdnn_kernel": [
+    5,
+    3,
+    3,
+    1,
+    1
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.21.0",
+  "use_scan": false,
+  "use_weighted_layer_sum": false,
+  "vocab_size": 39,
+  "xvector_output_dim": 512
+}
+loading feature extractor configuration file ./preprocessor_config.json
+Feature extractor Wav2Vec2FeatureExtractor {
+  "do_normalize": true,
+  "feature_extractor_type": "Wav2Vec2FeatureExtractor",
+  "feature_size": 1,
+  "padding_side": "right",
+  "padding_value": 0,
+  "return_attention_mask": true,
+  "sampling_rate": 16000
+}
+loading file ./vocab.json
+loading file ./tokenizer_config.json
+loading file ./added_tokens.json
+loading file ./special_tokens_map.json
+Adding <s> to the vocabulary
+Adding </s> to the vocabulary
+2022-07-31 12:03:29.853325: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory
+2022-07-31 12:03:29.853383: W tensorflow/stream_executor/cuda/cuda_driver.cc:269] failed call to cuInit: UNKNOWN ERROR (303)
+/data/wav2vec2-1b-npsc-nst/./ is already a clone of https://huggingface.co/NbAiLab/wav2vec2-1b-npsc-nst. Make sure you pull the latest changes with `repo.git_pull()`.
+WARNING:huggingface_hub.repository:/data/wav2vec2-1b-npsc-nst/./ is already a clone of https://huggingface.co/NbAiLab/wav2vec2-1b-npsc-nst. Make sure you pull the latest changes with `repo.git_pull()`.
+run_flax_speech_recognition_ctc.py:337: FutureWarning: jax.tree_map is deprecated, and will be removed in a future release. Use jax.tree_util.tree_map instead.
+  return jax.tree_map(lambda x: x.astype(jnp.bfloat16) if x.dtype == jnp.float32 else x, t)
+INFO:__main__:***** Running training *****
+INFO:__main__:  Num examples = 302693
+INFO:__main__:  Num Epochs = 40
+INFO:__main__:  Instantaneous batch size per device = 12
+INFO:__main__:  Num gradient accumulation steps = 2
+INFO:__main__:  Total train batch size (w. parallel & distributed) = 192
+INFO:__main__:  Total optimization steps = 63040
+INFO:__main__:  Gradient checkpointing: True
+INFO:__main__:  Use scan: False
+INFO:__main__:  Fuse matmuls: False
+Epoch ... (1/40):   0%|                                                                                                                                                                                                                                            | 0/40 [00:00<?, ?it/s]
+  batch = jax.tree_map(                                                                                                                                                                                                                                          | 0/1576 [00:00<?, ?it/s]
+run_flax_speech_recognition_ctc.py:1379: FutureWarning: jax.tree_map is deprecated, and will be removed in a future release. Use jax.tree_util.tree_map instead.
+  init_grad = jax.tree_map(jnp.zeros_like, to_dtype(state.params))
+Training...:   0%|                                                                                                                                                                                                                                               | 0/1576 [00:34<?, ?it/s]
+Epoch ... (1/40):   0%|                                                                                                                                                                                                                                            | 0/40 [00:41<?, ?it/s]
+Traceback (most recent call last):
+  File "/data/flax/lib/python3.8/site-packages/jax/_src/lax/lax.py", line 130, in broadcast_shapes
+    return _broadcast_shapes_cached(*shapes)
+  File "/data/flax/lib/python3.8/site-packages/jax/_src/util.py", line 220, in wrapper
+    return cached(config._trace_context(), *args, **kwargs)
+  File "/data/flax/lib/python3.8/site-packages/jax/_src/util.py", line 213, in cached
+    return f(*args, **kwargs)
+  File "/data/flax/lib/python3.8/site-packages/jax/_src/lax/lax.py", line 136, in _broadcast_shapes_cached
+    return _broadcast_shapes_uncached(*shapes)
+  File "/data/flax/lib/python3.8/site-packages/jax/_src/lax/lax.py", line 152, in _broadcast_shapes_uncached
+    raise ValueError("Incompatible shapes for broadcasting: {}"
+ValueError: Incompatible shapes for broadcasting: ((1, 2), (2, 320000))
+During handling of the above exception, another exception occurred:
+Traceback (most recent call last):
+  File "run_flax_speech_recognition_ctc.py", line 1604, in <module>
+    main()
+  File "run_flax_speech_recognition_ctc.py", line 1516, in main
+    state, train_metric = p_train_step(state, batch)
+  File "/data/flax/lib/python3.8/site-packages/jax/_src/traceback_util.py", line 162, in reraise_with_filtered_traceback
+    return fun(*args, **kwargs)
+  File "/data/flax/lib/python3.8/site-packages/jax/_src/api.py", line 2158, in cache_miss
+    out_tree, out_flat = f_pmapped_(*args, **kwargs)
+  File "/data/flax/lib/python3.8/site-packages/jax/_src/api.py", line 2034, in pmap_f
+    out = pxla.xla_pmap(
+  File "/data/flax/lib/python3.8/site-packages/jax/core.py", line 2022, in bind
+    return map_bind(self, fun, *args, **params)
+  File "/data/flax/lib/python3.8/site-packages/jax/core.py", line 2054, in map_bind
+    outs = primitive.process(top_trace, fun, tracers, params)
+  File "/data/flax/lib/python3.8/site-packages/jax/core.py", line 2025, in process
+    return trace.process_map(self, fun, tracers, params)
+  File "/data/flax/lib/python3.8/site-packages/jax/core.py", line 687, in process_call
+    return primitive.impl(f, *tracers, **params)
+  File "/data/flax/lib/python3.8/site-packages/jax/interpreters/pxla.py", line 829, in xla_pmap_impl
+    compiled_fun, fingerprint = parallel_callable(
+  File "/data/flax/lib/python3.8/site-packages/jax/linear_util.py", line 295, in memoized_fun
+    ans = call(fun, *args)
+  File "/data/flax/lib/python3.8/site-packages/jax/interpreters/pxla.py", line 857, in parallel_callable
+    pmap_computation = lower_parallel_callable(
+  File "/data/flax/lib/python3.8/site-packages/jax/_src/profiler.py", line 294, in wrapper
+    return func(*args, **kwargs)
+  File "/data/flax/lib/python3.8/site-packages/jax/interpreters/pxla.py", line 1030, in lower_parallel_callable
+    jaxpr, consts, replicas, parts, shards = stage_parallel_callable(
+  File "/data/flax/lib/python3.8/site-packages/jax/interpreters/pxla.py", line 937, in stage_parallel_callable
+    jaxpr, out_sharded_avals, consts = pe.trace_to_jaxpr_final(
+  File "/data/flax/lib/python3.8/site-packages/jax/_src/profiler.py", line 294, in wrapper
+    return func(*args, **kwargs)
+  File "/data/flax/lib/python3.8/site-packages/jax/interpreters/partial_eval.py", line 2154, in trace_to_jaxpr_final
+    jaxpr, out_avals, consts = trace_to_subjaxpr_dynamic(
+  File "/data/flax/lib/python3.8/site-packages/jax/interpreters/partial_eval.py", line 2089, in trace_to_subjaxpr_dynamic
+    ans = fun.call_wrapped(*in_tracers_)
+  File "/data/flax/lib/python3.8/site-packages/jax/linear_util.py", line 168, in call_wrapped
+    ans = self.f(*args, **dict(self.params, **kwargs))
+  File "run_flax_speech_recognition_ctc.py", line 1381, in train_step
+    grad, loss = jax.lax.scan(accum_minibatch_step, init_grad, batch)
+  File "/data/flax/lib/python3.8/site-packages/jax/_src/traceback_util.py", line 162, in reraise_with_filtered_traceback
+    return fun(*args, **kwargs)
+  File "/data/flax/lib/python3.8/site-packages/jax/_src/lax/control_flow/loops.py", line 259, in scan
+    init_flat, carry_avals, carry_avals_out, init_tree, *rest = _create_jaxpr(init)
+  File "/data/flax/lib/python3.8/site-packages/jax/_src/lax/control_flow/loops.py", line 245, in _create_jaxpr
+    jaxpr, consts, out_tree = _initial_style_jaxpr(
+  File "/data/flax/lib/python3.8/site-packages/jax/_src/util.py", line 273, in wrapped
+    result = call(weak_arg, *args, **kwargs)
+  File "/data/flax/lib/python3.8/site-packages/jax/_src/lax/control_flow/common.py", line 57, in _initial_style_jaxpr
+    jaxpr, consts, out_tree = _initial_style_open_jaxpr(
+  File "/data/flax/lib/python3.8/site-packages/jax/_src/util.py", line 273, in wrapped
+    result = call(weak_arg, *args, **kwargs)
+  File "/data/flax/lib/python3.8/site-packages/jax/_src/lax/control_flow/common.py", line 51, in _initial_style_open_jaxpr
+    jaxpr, _, consts = pe.trace_to_jaxpr_dynamic(wrapped_fun, in_avals, debug)
+  File "/data/flax/lib/python3.8/site-packages/jax/_src/profiler.py", line 294, in wrapper
+    return func(*args, **kwargs)
+  File "/data/flax/lib/python3.8/site-packages/jax/interpreters/partial_eval.py", line 2074, in trace_to_jaxpr_dynamic
+  File "/data/flax/lib/python3.8/site-packages/jax/interpreters/partial_eval.py", line 2089, in trace_to_subjaxpr_dynamic
+    ans = fun.call_wrapped(*in_tracers_)
+  File "/data/flax/lib/python3.8/site-packages/jax/linear_util.py", line 168, in call_wrapped
+    ans = self.f(*args, **dict(self.params, **kwargs))
+  File "run_flax_speech_recognition_ctc.py", line 1375, in accum_minibatch_step
+    loss, grad = grad_fn(to_dtype(state.params), minibatch)
+  File "/data/flax/lib/python3.8/site-packages/jax/_src/traceback_util.py", line 162, in reraise_with_filtered_traceback
+    return fun(*args, **kwargs)
+  File "/data/flax/lib/python3.8/site-packages/jax/_src/api.py", line 1070, in value_and_grad_f
+    ans, vjp_py = _vjp(f_partial, *dyn_args, reduce_axes=reduce_axes)
+  File "/data/flax/lib/python3.8/site-packages/jax/_src/api.py", line 2578, in _vjp
+    out_primal, out_vjp = ad.vjp(
+  File "/data/flax/lib/python3.8/site-packages/jax/interpreters/ad.py", line 134, in vjp
+    out_primals, pvals, jaxpr, consts = linearize(traceable, *primals)
+  File "/data/flax/lib/python3.8/site-packages/jax/interpreters/ad.py", line 123, in linearize
+    jaxpr, out_pvals, consts = pe.trace_to_jaxpr_nounits(jvpfun_flat, in_pvals)
+  File "/data/flax/lib/python3.8/site-packages/jax/_src/profiler.py", line 294, in wrapper
+    return func(*args, **kwargs)
+  File "/data/flax/lib/python3.8/site-packages/jax/interpreters/partial_eval.py", line 800, in trace_to_jaxpr_nounits
+    jaxpr, (out_pvals, consts, env) = fun.call_wrapped(pvals)
+  File "/data/flax/lib/python3.8/site-packages/jax/linear_util.py", line 168, in call_wrapped
+    ans = self.f(*args, **dict(self.params, **kwargs))
+  File "run_flax_speech_recognition_ctc.py", line 1353, in compute_loss
+    logits_mask = state.get_attention_mask_fn(logits.shape[1], batch["attention_mask"])
+  File "/data/wav2vec2-1b-npsc-nst/models/modeling_flax_wav2vec2.py", line 758, in _get_feature_vector_attention_mask
+    return self.module._get_feature_vector_attention_mask(feature_vector_length, attention_mask, add_adapter=add_adapter)
+  File "/data/flax/lib/python3.8/site-packages/flax/linen/transforms.py", line 1320, in wrapped_fn
+    return jax.named_call(class_fn, name=full_name)(self, *args, **kwargs)
+  File "/usr/lib/python3.8/contextlib.py", line 75, in inner
+    return func(*args, **kwds)
+  File "/data/flax/lib/python3.8/site-packages/flax/linen/module.py", line 353, in wrapped_module_method
+    return self._call_wrapped_method(fun, args, kwargs)
+  File "/data/flax/lib/python3.8/site-packages/flax/linen/module.py", line 652, in _call_wrapped_method
+    y = fun(self, *args, **kwargs)
+  File "/data/wav2vec2-1b-npsc-nst/models/modeling_flax_wav2vec2.py", line 969, in _get_feature_vector_attention_mask
+    attention_mask = attention_mask.at[jnp.arange(attention_mask.shape[0]), output_lengths - 1].set(1)
+  File "/data/flax/lib/python3.8/site-packages/jax/_src/numpy/lax_numpy.py", line 4922, in set
+    return scatter._scatter_update(self.array, self.index, values, lax.scatter,
+  File "/data/flax/lib/python3.8/site-packages/jax/_src/ops/scatter.py", line 71, in _scatter_update
+    return _scatter_impl(x, y, scatter_op, treedef, static_idx, dynamic_idx,
+  File "/data/flax/lib/python3.8/site-packages/jax/_src/ops/scatter.py", line 93, in _scatter_impl
+    indexer = jnp._index_to_gather(jnp.shape(x), idx,
+  File "/data/flax/lib/python3.8/site-packages/jax/_src/numpy/lax_numpy.py", line 3776, in _index_to_gather
+    advanced_indexes = broadcast_arrays(*advanced_indexes)
+  File "/data/flax/lib/python3.8/site-packages/jax/_src/traceback_util.py", line 162, in reraise_with_filtered_traceback
+    return fun(*args, **kwargs)
+  File "/data/flax/lib/python3.8/site-packages/jax/_src/api.py", line 526, in cache_miss
+    out_flat = xla.xla_call(
+  File "/data/flax/lib/python3.8/site-packages/jax/core.py", line 1919, in bind
+    return call_bind(self, fun, *args, **params)
+  File "/data/flax/lib/python3.8/site-packages/jax/core.py", line 1935, in call_bind
+    outs = top_trace.process_call(primitive, fun_, tracers, params)
+  File "/data/flax/lib/python3.8/site-packages/jax/interpreters/partial_eval.py", line 1824, in process_call
+    jaxpr, out_type, consts = trace_to_subjaxpr_dynamic2(f, self.main)
+  File "/data/flax/lib/python3.8/site-packages/jax/interpreters/partial_eval.py", line 2117, in trace_to_subjaxpr_dynamic2
+    ans = fun.call_wrapped(*in_tracers_)
+  File "/data/flax/lib/python3.8/site-packages/jax/linear_util.py", line 168, in call_wrapped
+    ans = self.f(*args, **dict(self.params, **kwargs))
+  File "/data/flax/lib/python3.8/site-packages/jax/_src/numpy/util.py", line 364, in _broadcast_arrays
+    result_shape = lax.broadcast_shapes(*shapes)
+  File "/data/flax/lib/python3.8/site-packages/jax/_src/lax/lax.py", line 132, in broadcast_shapes
+    return _broadcast_shapes_uncached(*shapes)
+  File "/data/flax/lib/python3.8/site-packages/jax/_src/lax/lax.py", line 152, in _broadcast_shapes_uncached
+    raise ValueError("Incompatible shapes for broadcasting: {}"
+jax._src.traceback_util.UnfilteredStackTrace: ValueError: Incompatible shapes for broadcasting: ((1, 2), (2, 320000))
+The stack trace below excludes JAX-internal frames.
+The preceding is the original exception that occurred, unmodified.
+--------------------
+The above exception was the direct cause of the following exception:
+Traceback (most recent call last):
+  File "run_flax_speech_recognition_ctc.py", line 1604, in <module>
+    main()
+  File "run_flax_speech_recognition_ctc.py", line 1516, in main
+    state, train_metric = p_train_step(state, batch)
+  File "run_flax_speech_recognition_ctc.py", line 1381, in train_step
+    grad, loss = jax.lax.scan(accum_minibatch_step, init_grad, batch)
+  File "run_flax_speech_recognition_ctc.py", line 1375, in accum_minibatch_step
+    loss, grad = grad_fn(to_dtype(state.params), minibatch)
+  File "run_flax_speech_recognition_ctc.py", line 1353, in compute_loss
+    logits_mask = state.get_attention_mask_fn(logits.shape[1], batch["attention_mask"])
+  File "/data/wav2vec2-1b-npsc-nst/models/modeling_flax_wav2vec2.py", line 758, in _get_feature_vector_attention_mask
+    return self.module._get_feature_vector_attention_mask(feature_vector_length, attention_mask, add_adapter=add_adapter)
+  File "/usr/lib/python3.8/contextlib.py", line 75, in inner
+    return func(*args, **kwds)
+  File "/data/wav2vec2-1b-npsc-nst/models/modeling_flax_wav2vec2.py", line 969, in _get_feature_vector_attention_mask
+    attention_mask = attention_mask.at[jnp.arange(attention_mask.shape[0]), output_lengths - 1].set(1)
+  File "/data/flax/lib/python3.8/site-packages/jax/_src/numpy/lax_numpy.py", line 4922, in set
+    return scatter._scatter_update(self.array, self.index, values, lax.scatter,
+  File "/data/flax/lib/python3.8/site-packages/jax/_src/ops/scatter.py", line 71, in _scatter_update
+    return _scatter_impl(x, y, scatter_op, treedef, static_idx, dynamic_idx,
+  File "/data/flax/lib/python3.8/site-packages/jax/_src/ops/scatter.py", line 93, in _scatter_impl
+    indexer = jnp._index_to_gather(jnp.shape(x), idx,
+  File "/data/flax/lib/python3.8/site-packages/jax/_src/numpy/lax_numpy.py", line 3776, in _index_to_gather
+    advanced_indexes = broadcast_arrays(*advanced_indexes)
+  File "/data/flax/lib/python3.8/site-packages/jax/_src/numpy/util.py", line 364, in _broadcast_arrays
+    result_shape = lax.broadcast_shapes(*shapes)
+ValueError: Incompatible shapes for broadcasting: ((1, 2), (2, 320000))
\ No newline at end of file