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wandb: wandb version 0.12.16 is available!  To upgrade, please run:
wandb:  $ pip install wandb --upgrade
wandb: Tracking run with wandb version 0.12.15
wandb: Run data is saved locally in /home/sanchitgandhi/flax-wav2vec2-2-bart-large-voxpopuli-baseline/wandb/run-20220510_091910-3qamzxaf
wandb: Run `wandb offline` to turn off syncing.
wandb: Syncing run flax-wav2vec2-2-bart-large-voxpopuli-baseline
wandb: ⭐️ View project at https://wandb.ai/sanchit-gandhi/voxpopuli
wandb: 🚀 View run at https://wandb.ai/sanchit-gandhi/voxpopuli/runs/3qamzxaf
05/10/2022 09:19:11 - INFO - __main__ - Training/evaluation parameters FlaxSeq2SeqTrainingArguments(
_n_gpu=-1,
adafactor=False,
adam_beta1=0.9,
adam_beta2=0.999,
adam_epsilon=1e-08,
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=None,
do_eval=True,
do_predict=True,
do_train=True,
eval_accumulation_steps=None,
eval_delay=0,
eval_steps=10000,
evaluation_strategy=no,
final_generation_max_length=200,
final_generation_num_beams=5,
fp16=False,
fp16_backend=auto,
fp16_full_eval=False,
fp16_opt_level=O1,
generation_length_penalty=1.2,
generation_max_length=40,
generation_num_beams=1,
gradient_accumulation_steps=1,
gradient_checkpointing=True,
greater_is_better=None,
group_by_length=False,
half_precision_backend=auto,
hub_model_id=None,
hub_strategy=every_save,
hub_token=<HUB_TOKEN>,
ignore_data_skip=False,
label_names=None,
label_smoothing_factor=0.0,
learning_rate=0.0001,
length_column_name=length,
load_best_model_at_end=False,
local_rank=-1,
log_level=passive,
log_level_replica=passive,
log_on_each_node=True,
logging_dir=None,
logging_first_step=False,
logging_nan_inf_filter=True,
logging_steps=25,
logging_strategy=steps,
lr_scheduler_type=linear,
matmul_precision=default,
max_grad_norm=1.0,
max_steps=50000,
metric_for_best_model=None,
mp_parameters=,
no_cuda=False,
num_train_epochs=3.0,
optim=adamw_hf,
output_dir=./,
overwrite_output_dir=True,
past_index=-1,
per_device_eval_batch_size=4,
per_device_train_batch_size=8,
precision=full,
predict_with_generate=True,
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>,
remove_unused_columns=True,
report_to=None,
resume_from_checkpoint=None,
run_name=None,
save_on_each_node=False,
save_steps=10000,
save_strategy=steps,
save_total_limit=1,
seed=42,
sharded_ddp=,
skip_memory_metrics=True,
sortish_sampler=False,
tf32=None,
tpu_metrics_debug=False,
tpu_num_cores=None,
use_legacy_prediction_loop=False,
warmup_ratio=0.0,
warmup_steps=500,
weight_decay=0.0,
xpu_backend=None,
)
05/10/2022 09:19:11 - INFO - __main__ - JAX devices: 8, matmul precision: default
Downloading data files:   0% 0/12 [00:00<?, ?it/s]Downloading and preparing dataset xtreme_s/voxpopuli.en to /home/sanchitgandhi/cache/huggingface/datasets/google___xtreme_s/voxpopuli.en/1.0.0/576785ff24bb3f93ea3df673fe4ec441bec897e0792c15a7556f6cad50813c6a...

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tcmalloc: large alloc 2893119488 bytes == 0x17d0e2000 @  0x7fbe92334680 0x7fbe92355824 0x7fbe92355b8a 0x7fbe75e22c5e 0x7fbe75e14e92 0x7fbdd76a711f 0x7fbdd76a7a61 0x7fbdd76a7ab4 0x7fbdd7b7b01e 0x7fbdd826877a 0x7fbdd8029fdc 0x7fbdd824f2af 0x7fbdd8064e30 0x7fbbf4a3cad1 0x7fbbf4a5907e 0x7fbbf4a5d21a 0x7fbbf4a53f8d 0x7fbbf4a5610e 0x7fbbf4a56346 0x7fbdd9c03530 0x7fbe6e822443 0x7fbe6e7f8e74 0x7fbe6e7f963f 0x7fbe6e4d6d52 0x5f3989 0x5f3e1e 0x570674 0x56939a 0x5f6a13 0x570035 0x56939a
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2.83s/it]Chunking audio...:   5% 222/4068 [11:51<2:54:52,  2.73s/it]Chunking audio...:   5% 223/4068 [11:56<3:46:21,  3.53s/it]Chunking audio...:   6% 224/4068 [11:58<3:14:00,  3.03s/it]Chunking audio...:   6% 225/4068 [12:02<3:39:48,  3.43s/it]Chunking audio...:   6% 226/4068 [12:03<2:54:13,  2.72s/it]Chunking audio...:   6% 227/4068 [12:06<2:51:13,  2.67s/it]Chunking audio...:   6% 228/4068 [12:09<2:55:18,  2.74s/it]Chunking audio...:   6% 229/4068 [12:10<2:20:37,  2.20s/it]Chunking audio...:   6% 230/4068 [12:11<2:05:46,  1.97s/it]Chunking audio...:   6% 231/4068 [12:12<1:47:57,  1.69s/it]Chunking audio...:   6% 232/4068 [12:17<2:48:48,  2.64s/it]Chunking audio...:   6% 233/4068 [12:21<3:09:29,  2.96s/it]Chunking audio...:   6% 234/4068 [12:26<3:53:03,  3.65s/it]Chunking audio...:   6% 235/4068 [12:34<5:13:51,  4.91s/it]Chunking audio...:   6% 236/4068 [12:39<5:11:04,  4.87s/it]Chunking audio...:   6% 237/4068 [12:40<4:12:01,  3.95s/it]Chunking audio...:   6% 238/4068 [12:43<3:52:57,  3.65s/it]Chunking audio...:   6% 239/4068 [12:44<3:03:21,  2.87s/it]Chunking audio...:   6% 240/4068 [12:50<3:46:44,  3.55s/it]Chunking audio...:   6% 241/4068 [12:50<2:52:49,  2.71s/it]Chunking audio...:   6% 242/4068 [12:52<2:34:05,  2.42s/it]Chunking audio...:   6% 243/4068 [12:56<3:04:20,  2.89s/it]Chunking audio...:   6% 244/4068 [12:59<2:56:42,  2.77s/it]Chunking audio...:   6% 245/4068 [13:03<3:26:37,  3.24s/it]Chunking audio...:   6% 246/4068 [13:04<2:48:41,  2.65s/it]Chunking audio...:   6% 247/4068 [13:10<3:46:42,  3.56s/it]Chunking audio...:   6% 248/4068 [13:12<3:22:38,  3.18s/it]Chunking audio...:   6% 249/4068 [13:22<5:23:02,  5.08s/it]Chunking audio...:   6% 250/4068 [13:24<4:35:58,  4.34s/it]Chunking audio...:   6% 251/4068 [13:27<3:59:31,  3.77s/it]Chunking audio...:   6% 252/4068 [13:29<3:39:07,  3.45s/it]Chunking audio...:   6% 253/4068 [13:31<2:55:13,  2.76s/it]Chunking audio...:   6% 254/4068 [13:33<2:49:09,  2.66s/it]Chunking audio...:   6% 255/4068 [13:37<3:13:35,  3.05s/it]Chunking audio...:   6% 256/4068 [13:46<5:04:20,  4.79s/it]Chunking audio...:   6% 257/4068 [13:53<5:40:34,  5.36s/it]Chunking audio...:   6% 258/4068 [13:54<4:30:31,  4.26s/it]Chunking audio...:   6% 259/4068 [13:58<4:22:08,  4.13s/it]Chunking audio...:   6% 260/4068 [14:01<3:57:18,  3.74s/it]Chunking audio...:   6% 261/4068 [14:02<3:09:48,  2.99s/it]Chunking audio...:   6% 262/4068 [14:04<2:51:14,  2.70s/it]Chunking audio...:   6% 263/4068 [14:05<2:23:36,  2.26s/it]Chunking audio...:   6% 264/4068 [14:07<2:03:07,  1.94s/it]Chunking audio...:   7% 265/4068 [14:19<5:23:28,  5.10s/it]Chunking audio...:   7% 266/4068 [14:25<5:30:33,  5.22s/it]Chunking audio...:   7% 267/4068 [14:27<4:30:32,  4.27s/it]Chunking audio...:   7% 268/4068 [14:28<3:30:31,  3.32s/it]Chunking audio...:   7% 269/4068 [14:34<4:20:53,  4.12s/it]Chunking audio...:   7% 270/4068 [14:35<3:25:44,  3.25s/it]Chunking audio...:   7% 271/4068 [14:39<3:37:09,  3.43s/it]Chunking audio...:   7% 272/4068 [14:42<3:26:04,  3.26s/it]Chunking audio...:   7% 273/4068 [14:44<3:06:43,  2.95s/it]tcmalloc: large alloc 2981617664 bytes == 0xb3ac8000 @  0x7fbe92334680 0x7fbe92354ff4 0x7fbbf4a5d66f 0x7fbbf4a5cfd0 0x7fbbf4a53f8d 0x7fbbf4a5610e 0x7fbbf4a56346 0x7fbdd9c03530 0x7fbe6e822443 0x7fbe6e7f8e74 0x7fbe6e7f963f 0x7fbe6e4d6d52 0x5f3989 0x5f3e1e 0x570674 0x56939a 0x5f6a13 0x570035 0x56939a 0x5f6a13 0x56b0ae 0x56939a 0x5f6a13 0x56b1da 0x56939a 0x5f6a13 0x50aa2c 0x5f3547 0x56c8cd 0x56939a 0x5f6a13
tcmalloc: large alloc 2981617664 bytes == 0x17d0e2000 @  0x7fbe92334680 0x7fbe92355824 0x7fbe92355b8a 0x7fbe75e22c5e 0x7fbe75e14e92 0x7fbdd76a711f 0x7fbdd76a7a61 0x7fbdd76a7ab4 0x7fbdd7b7b01e 0x7fbdd826877a 0x7fbdd8029fdc 0x7fbdd824f2af 0x7fbdd8064e30 0x7fbbf4a3cad1 0x7fbbf4a5907e 0x7fbbf4a5d21a 0x7fbbf4a53f8d 0x7fbbf4a5610e 0x7fbbf4a56346 0x7fbdd9c03530 0x7fbe6e822443 0x7fbe6e7f8e74 0x7fbe6e7f963f 0x7fbe6e4d6d52 0x5f3989 0x5f3e1e 0x570674 0x56939a 0x5f6a13 0x570035 0x56939a
Chunking audio...:   7% 274/4068 [15:28<16:11:51, 15.37s/it]Chunking audio...:   7% 275/4068 [15:31<12:19:56, 11.70s/it]Chunking audio...:   7% 276/4068 [15:37<10:27:29,  9.93s/it]Chunking audio...:   7% 277/4068 [15:38<7:31:48,  7.15s/it] Chunking audio...:   7% 278/4068 [15:41<6:14:03,  5.92s/it]Chunking audio...:   7% 279/4068 [15:42<4:49:09,  4.58s/it]Chunking audio...:   7% 280/4068 [15:46<4:27:22,  4.23s/it]Chunking audio...:   7% 281/4068 [15:47<3:31:18,  3.35s/it]Chunking audio...:   7% 282/4068 [15:50<3:30:11,  3.33s/it]Chunking audio...:   7% 283/4068 [15:55<3:52:55,  3.69s/it]Chunking audio...:   7% 284/4068 [15:57<3:22:05,  3.20s/it]Chunking audio...:   7% 285/4068 [15:58<2:40:29,  2.55s/it]Chunking audio...:   7% 286/4068 [16:08<5:06:13,  4.86s/it]Chunking audio...:   7% 287/4068 [16:09<3:51:12,  3.67s/it]Chunking audio...:   7% 288/4068 [16:11<3:24:48,  3.25s/it]Chunking audio...:   7% 289/4068 [16:13<2:51:25,  2.72s/it]Chunking audio...:   7% 290/4068 [16:19<3:50:35,  3.66s/it]Chunking audio...:   7% 291/4068 [16:19<2:46:54,  2.65s/it]Chunking audio...:   7% 292/4068 [16:21<2:38:08,  2.51s/it]Chunking audio...:   7% 293/4068 [16:25<3:01:49,  2.89s/it]Chunking audio...:   7% 294/4068 [16:47<9:05:21,  8.67s/it]Chunking audio...:   7% 295/4068 [16:49<7:01:28,  6.70s/it]Chunking audio...:   7% 296/4068 [16:52<5:45:01,  5.49s/it]Chunking audio...:   7% 297/4068 [16:53<4:23:26,  4.19s/it]Chunking audio...:   7% 298/4068 [16:59<5:01:37,  4.80s/it]Chunking audio...:   7% 299/4068 [17:01<4:01:50,  3.85s/it]Chunking audio...:   7% 300/4068 [17:02<3:14:11,  3.09s/it]Chunking audio...:   7% 301/4068 [17:06<3:21:57,  3.22s/it]Chunking audio...:   7% 302/4068 [17:07<2:54:30,  2.78s/it]Chunking audio...:   7% 303/4068 [17:12<3:21:50,  3.22s/it]Chunking audio...:   7% 304/4068 [17:13<2:53:16,  2.76s/it]Chunking audio...:   7% 305/4068 [17:16<2:51:26,  2.73s/it]Chunking audio...:   8% 306/4068 [17:24<4:36:38,  4.41s/it]Chunking audio...:   8% 307/4068 [17:39<7:50:06,  7.50s/it]Chunking audio...:   8% 308/4068 [17:40<5:54:10,  5.65s/it]Chunking audio...:   8% 309/4068 [17:47<6:05:08,  5.83s/it]Chunking audio...:   8% 310/4068 [17:47<4:25:40,  4.24s/it]Chunking audio...:   8% 311/4068 [17:52<4:28:06,  4.28s/it]Chunking audio...:   8% 312/4068 [17:53<3:29:46,  3.35s/it]Chunking audio...:   8% 313/4068 [17:56<3:25:54,  3.29s/it]Chunking audio...:   8% 314/4068 [17:57<2:41:55,  2.59s/it]Chunking audio...:   8% 315/4068 [18:03<3:42:38,  3.56s/it]Chunking audio...:   8% 316/4068 [18:04<3:07:12,  2.99s/it]Chunking audio...:   8% 317/4068 [18:09<3:36:41,  3.47s/it]Chunking audio...:   8% 318/4068 [18:11<3:08:21,  3.01s/it]Chunking audio...:   8% 319/4068 [18:13<2:52:58,  2.77s/it]Chunking audio...:   8% 320/4068 [18:14<2:26:16,  2.34s/it]Chunking audio...:   8% 321/4068 [18:18<2:54:38,  2.80s/it]Chunking audio...:   8% 322/4068 [18:20<2:32:43,  2.45s/it]Chunking audio...:   8% 323/4068 [18:23<2:40:44,  2.58s/it]Chunking audio...:   8% 324/4068 [18:24<2:13:41,  2.14s/it]Chunking audio...:   8% 325/4068 [18:31<3:44:37,  3.60s/it]Chunking audio...:   8% 326/4068 [18:32<3:03:52,  2.95s/it]Chunking audio...:   8% 327/4068 [18:36<3:19:42,  3.20s/it]Chunking audio...:   8% 328/4068 [18:38<3:01:14,  2.91s/it]Chunking audio...:   8% 329/4068 [18:42<3:19:21,  3.20s/it]Chunking audio...:   8% 330/4068 [18:49<4:25:58,  4.27s/it]Chunking audio...:   8% 331/4068 [18:53<4:21:22,  4.20s/it]Chunking audio...:   8% 332/4068 [18:55<3:35:20,  3.46s/it]Chunking audio...:   8% 333/4068 [18:59<3:53:10,  3.75s/it]Chunking audio...:   8% 334/4068 [19:01<3:18:54,  3.20s/it]Chunking audio...:   8% 335/4068 [19:04<3:12:06,  3.09s/it]Chunking audio...:   8% 336/4068 [19:04<2:23:47,  2.31s/it]Chunking audio...:   8% 337/4068 [19:07<2:19:39,  2.25s/it]Chunking audio...:   8% 338/4068 [19:10<2:47:01,  2.69s/it]Chunking audio...:   8% 339/4068 [19:12<2:38:10,  2.54s/it]Chunking audio...:   8% 340/4068 [19:15<2:39:03,  2.56s/it]Chunking audio...:   8% 341/4068 [19:16<2:09:11,  2.08s/it]Chunking audio...:   8% 342/4068 [19:20<2:51:43,  2.77s/it]Chunking audio...:   8% 343/4068 [19:21<2:10:27,  2.10s/it]Chunking audio...:   8% 344/4068 [19:23<2:13:57,  2.16s/it]Chunking audio...:   8% 345/4068 [19:27<2:40:39,  2.59s/it]Chunking audio...:   9% 346/4068 [19:31<3:09:50,  3.06s/it]Chunking audio...:   9% 347/4068 [19:33<2:53:49,  2.80s/it]Chunking audio...:   9% 348/4068 [19:36<2:46:43,  2.69s/it]Chunking audio...:   9% 349/4068 [19:39<2:54:31,  2.82s/it]Chunking audio...:   9% 350/4068 [19:41<2:53:26,  2.80s/it]Chunking audio...:   9% 351/4068 [19:45<3:10:45,  3.08s/it]Chunking audio...:   9% 352/4068 [19:47<2:46:40,  2.69s/it]Chunking audio...:   9% 353/4068 [19:49<2:31:21,  2.44s/it]tcmalloc: large alloc 3220340736 bytes == 0xb3ac8000 @  0x7fbe92334680 0x7fbe92354ff4 0x7fbbf4a5d66f 0x7fbbf4a5cfd0 0x7fbbf4a53f8d 0x7fbbf4a5610e 0x7fbbf4a56346 0x7fbdd9c03530 0x7fbe6e822443 0x7fbe6e7f8e74 0x7fbe6e7f963f 0x7fbe6e4d6d52 0x5f3989 0x5f3e1e 0x570674 0x56939a 0x5f6a13 0x570035 0x56939a 0x5f6a13 0x56b0ae 0x56939a 0x5f6a13 0x56b1da 0x56939a 0x5f6a13 0x50aa2c 0x5f3547 0x56c8cd 0x56939a 0x5f6a13
tcmalloc: large alloc 3220340736 bytes == 0x17d0e2000 @  0x7fbe92334680 0x7fbe92355824 0x7fbe92355b8a 0x7fbe75e22c5e 0x7fbe75e14e92 0x7fbdd76a711f 0x7fbdd76a7a61 0x7fbdd76a7ab4 0x7fbdd7b7b01e 0x7fbdd826877a 0x7fbdd8029fdc 0x7fbdd824f2af 0x7fbdd8064e30 0x7fbbf4a3cad1 0x7fbbf4a5907e 0x7fbbf4a5d21a 0x7fbbf4a53f8d 0x7fbbf4a5610e 0x7fbbf4a56346 0x7fbdd9c03530 0x7fbe6e822443 0x7fbe6e7f8e74 0x7fbe6e7f963f 0x7fbe6e4d6d52 0x5f3989 0x5f3e1e 0x570674 0x56939a 0x5f6a13 0x570035 0x56939a
Chunking audio...:   9% 354/4068 [20:39<17:08:09, 16.61s/it]Chunking audio...:   9% 355/4068 [20:40<12:35:15, 12.20s/it]Chunking audio...:   9% 356/4068 [20:43<9:27:33,  9.17s/it] Chunking audio...:   9% 357/4068 [20:45<7:27:53,  7.24s/it]Chunking audio...:   9% 358/4068 [20:48<5:57:01,  5.77s/it]Chunking audio...:   9% 359/4068 [20:51<5:04:28,  4.93s/it]Chunking audio...:   9% 360/4068 [20:51<3:42:59,  3.61s/it]Chunking audio...:   9% 361/4068 [20:53<3:17:40,  3.20s/it]Chunking audio...:   9% 362/4068 [20:54<2:24:47,  2.34s/it]Chunking audio...:   9% 363/4068 [21:02<4:22:10,  4.25s/it]Chunking audio...:   9% 364/4068 [21:24<9:37:58,  9.36s/it]Chunking audio...:   9% 365/4068 [21:30<8:31:48,  8.29s/it]Chunking audio...:   9% 366/4068 [21:33<6:55:46,  6.74s/it]Chunking audio...:   9% 367/4068 [21:37<6:13:09,  6.05s/it]Chunking audio...:   9% 368/4068 [21:40<5:22:32,  5.23s/it]Chunking audio...:   9% 369/4068 [21:45<5:04:53,  4.95s/it]Chunking audio...:   9% 370/4068 [21:47<4:25:46,  4.31s/it]Chunking audio...:   9% 371/4068 [21:49<3:41:38,  3.60s/it]Chunking audio...:   9% 372/4068 [21:56<4:30:18,  4.39s/it]tcmalloc: large alloc 2769813504 bytes == 0xb3ac8000 @  0x7fbe92334680 0x7fbe92354ff4 0x7fbbf4a5d66f 0x7fbbf4a5cfd0 0x7fbbf4a53f8d 0x7fbbf4a5610e 0x7fbbf4a56346 0x7fbdd9c03530 0x7fbe6e822443 0x7fbe6e7f8e74 0x7fbe6e7f963f 0x7fbe6e4d6d52 0x5f3989 0x5f3e1e 0x570674 0x56939a 0x5f6a13 0x570035 0x56939a 0x5f6a13 0x56b0ae 0x56939a 0x5f6a13 0x56b1da 0x56939a 0x5f6a13 0x50aa2c 0x5f3547 0x56c8cd 0x56939a 0x5f6a13
tcmalloc: large alloc 2769813504 bytes == 0x17d0e2000 @  0x7fbe92334680 0x7fbe92355824 0x7fbe92355b8a 0x7fbe75e22c5e 0x7fbe75e14e92 0x7fbdd76a711f 0x7fbdd76a7a61 0x7fbdd76a7ab4 0x7fbdd7b7b01e 0x7fbdd826877a 0x7fbdd8029fdc 0x7fbdd824f2af 0x7fbdd8064e30 0x7fbbf4a3cad1 0x7fbbf4a5907e 0x7fbbf4a5d21a 0x7fbbf4a53f8d 0x7fbbf4a5610e 0x7fbbf4a56346 0x7fbdd9c03530 0x7fbe6e822443 0x7fbe6e7f8e74 0x7fbe6e7f963f 0x7fbe6e4d6d52 0x5f3989 0x5f3e1e 0x570674 0x56939a 0x5f6a13 0x570035 0x56939a
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Subsequent calls will reuse this data.
05/10/2022 14:45:17 - WARNING - datasets.builder - Reusing dataset xtreme_s (/home/sanchitgandhi/cache/huggingface/datasets/google___xtreme_s/voxpopuli.en/1.0.0/576785ff24bb3f93ea3df673fe4ec441bec897e0792c15a7556f6cad50813c6a)
05/10/2022 14:45:19 - WARNING - datasets.builder - Reusing dataset xtreme_s (/home/sanchitgandhi/cache/huggingface/datasets/google___xtreme_s/voxpopuli.en/1.0.0/576785ff24bb3f93ea3df673fe4ec441bec897e0792c15a7556f6cad50813c6a)
https://huggingface.co/sanchit-gandhi/flax-wav2vec2-2-bart-large-scan/resolve/main/config.json not found in cache or force_download set to True, downloading to /home/sanchitgandhi/.cache/huggingface/transformers/tmpnrxzppwf
Downloading:   0% 0.00/6.84k [00:00<?, ?B/s]Downloading: 100% 6.84k/6.84k [00:00<00:00, 5.81MB/s]
storing https://huggingface.co/sanchit-gandhi/flax-wav2vec2-2-bart-large-scan/resolve/main/config.json in cache at /home/sanchitgandhi/.cache/huggingface/transformers/e6d3af8a2b6624d8adf8fc289717c121400164223b3e51d49b639aa34d1d3048.c9a58c9120361b7b034a0136cc74d5dce009e745c4cc111c255d5f3d0a9e2fd9
creating metadata file for /home/sanchitgandhi/.cache/huggingface/transformers/e6d3af8a2b6624d8adf8fc289717c121400164223b3e51d49b639aa34d1d3048.c9a58c9120361b7b034a0136cc74d5dce009e745c4cc111c255d5f3d0a9e2fd9
loading configuration file https://huggingface.co/sanchit-gandhi/flax-wav2vec2-2-bart-large-scan/resolve/main/config.json from cache at /home/sanchitgandhi/.cache/huggingface/transformers/e6d3af8a2b6624d8adf8fc289717c121400164223b3e51d49b639aa34d1d3048.c9a58c9120361b7b034a0136cc74d5dce009e745c4cc111c255d5f3d0a9e2fd9
/home/sanchitgandhi/transformers/src/transformers/configuration_utils.py:358: UserWarning: Passing `gradient_checkpointing` to a config initialization is deprecated and will be removed in v5 Transformers. Using `model.gradient_checkpointing_enable()` instead, or if you are using the `Trainer` API, pass `gradient_checkpointing=True` in your `TrainingArguments`.
  warnings.warn(
Model config SpeechEncoderDecoderConfig {
  "_name_or_path": "sanchit-gandhi/flax-wav2vec2-2-bart-large-scan",
  "architectures": [
    "SpeechEncoderDecoderModel"
  ],
  "decoder": {
    "_name_or_path": "",
    "activation_dropout": 0.1,
    "activation_function": "gelu",
    "add_bias_logits": false,
    "add_cross_attention": true,
    "add_final_layer_norm": false,
    "architectures": [
      "BartModel"
    ],
    "attention_dropout": 0.1,
    "bad_words_ids": null,
    "bos_token_id": 0,
    "chunk_size_feed_forward": 0,
    "classif_dropout": 0.1,
    "classifier_dropout": 0.0,
    "cross_attention_hidden_size": null,
    "d_model": 1024,
    "decoder_attention_heads": 16,
    "decoder_ffn_dim": 4096,
    "decoder_layerdrop": 0.0,
    "decoder_layers": 12,
    "decoder_start_token_id": 2,
    "diversity_penalty": 0.0,
    "do_sample": false,
    "dropout": 0.1,
    "early_stopping": true,
    "encoder_attention_heads": 16,
    "encoder_ffn_dim": 4096,
    "encoder_layerdrop": 0.0,
    "encoder_layers": 12,
    "encoder_no_repeat_ngram_size": 0,
    "eos_token_id": 2,
    "exponential_decay_length_penalty": null,
    "finetuning_task": null,
    "forced_bos_token_id": 0,
    "forced_eos_token_id": 2,
    "fuse_matmuls": false,
    "gradient_checkpointing": true,
    "id2label": {
      "0": "LABEL_0",
      "1": "LABEL_1",
      "2": "LABEL_2"
    },
    "init_std": 0.02,
    "is_decoder": true,
    "is_encoder_decoder": false,
    "label2id": {
      "LABEL_0": 0,
      "LABEL_1": 1,
      "LABEL_2": 2
    },
    "length_penalty": 1.0,
    "max_length": 20,
    "max_position_embeddings": 1024,
    "min_length": 0,
    "model_type": "bart",
    "no_repeat_ngram_size": 3,
    "normalize_before": false,
    "num_beam_groups": 1,
    "num_beams": 4,
    "num_hidden_layers": 12,
    "num_return_sequences": 1,
    "output_attentions": false,
    "output_hidden_states": false,
    "output_scores": false,
    "pad_token_id": 1,
    "prefix": null,
    "problem_type": null,
    "pruned_heads": {},
    "remove_invalid_values": false,
    "repetition_penalty": 1.0,
    "return_dict": true,
    "return_dict_in_generate": false,
    "scale_embedding": false,
    "sep_token_id": null,
    "task_specific_params": {
      "summarization": {
        "length_penalty": 1.0,
        "max_length": 128,
        "min_length": 12,
        "num_beams": 4
      },
      "summarization_cnn": {
        "length_penalty": 2.0,
        "max_length": 142,
        "min_length": 56,
        "num_beams": 4
      },
      "summarization_xsum": {
        "length_penalty": 1.0,
        "max_length": 62,
        "min_length": 11,
        "num_beams": 6
      }
    },
    "temperature": 1.0,
    "tie_encoder_decoder": false,
    "tie_word_embeddings": true,
    "tokenizer_class": null,
    "top_k": 50,
    "top_p": 1.0,
    "torch_dtype": "float32",
    "torchscript": false,
    "transformers_version": "4.18.0.dev0",
    "typical_p": 1.0,
    "use_bfloat16": false,
    "use_cache": true,
    "use_scan": true,
    "vocab_size": 50265
  },
  "decoder_start_token_id": 0,
  "encoder": {
    "_name_or_path": "",
    "activation_dropout": 0.1,
    "adapter_kernel_size": 3,
    "adapter_stride": 2,
    "add_adapter": true,
    "add_cross_attention": false,
    "apply_spec_augment": true,
    "architectures": [
      "Wav2Vec2ForPreTraining"
    ],
    "attention_dropout": 0.1,
    "bad_words_ids": null,
    "bos_token_id": 1,
    "chunk_size_feed_forward": 0,
    "classifier_proj_size": 256,
    "codevector_dim": 768,
    "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
    ],
    "cross_attention_hidden_size": null,
    "ctc_loss_reduction": "sum",
    "ctc_zero_infinity": false,
    "decoder_start_token_id": null,
    "diversity_loss_weight": 0.1,
    "diversity_penalty": 0.0,
    "do_sample": false,
    "do_stable_layer_norm": true,
    "early_stopping": false,
    "encoder_no_repeat_ngram_size": 0,
    "eos_token_id": 2,
    "exponential_decay_length_penalty": null,
    "feat_extract_activation": "gelu",
    "feat_extract_dropout": 0.0,
    "feat_extract_norm": "layer",
    "feat_proj_dropout": 0.0,
    "feat_quantizer_dropout": 0.0,
    "final_dropout": 0.0,
    "finetuning_task": null,
    "forced_bos_token_id": null,
    "forced_eos_token_id": null,
    "fuse_matmuls": false,
    "gradient_checkpointing": true,
    "hidden_act": "gelu",
    "hidden_dropout": 0.1,
    "hidden_dropout_prob": 0.1,
    "hidden_size": 1024,
    "id2label": {
      "0": "LABEL_0",
      "1": "LABEL_1"
    },
    "initializer_range": 0.02,
    "intermediate_size": 4096,
    "is_decoder": false,
    "is_encoder_decoder": false,
    "label2id": {
      "LABEL_0": 0,
      "LABEL_1": 1
    },
    "layer_norm_eps": 1e-05,
    "layerdrop": 0.0,
    "length_penalty": 1.0,
    "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": 0.1,
    "max_length": 20,
    "min_length": 0,
    "model_type": "wav2vec2",
    "no_repeat_ngram_size": 0,
    "num_adapter_layers": 3,
    "num_attention_heads": 16,
    "num_beam_groups": 1,
    "num_beams": 1,
    "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": 24,
    "num_negatives": 100,
    "num_return_sequences": 1,
    "output_attentions": false,
    "output_hidden_size": 1024,
    "output_hidden_states": false,
    "output_scores": false,
    "pad_token_id": 0,
    "prefix": null,
    "problem_type": null,
    "proj_codevector_dim": 768,
    "pruned_heads": {},
    "remove_invalid_values": false,
    "repetition_penalty": 1.0,
    "return_dict": true,
    "return_dict_in_generate": false,
    "sep_token_id": null,
    "task_specific_params": null,
    "tdnn_dilation": [
      1,
      2,
      3,
      1,
      1
    ],
    "tdnn_dim": [
      512,
      512,
      512,
      512,
      1500
    ],
    "tdnn_kernel": [
      5,
      3,
      3,
      1,
      1
    ],
    "temperature": 1.0,
    "tie_encoder_decoder": false,
    "tie_word_embeddings": true,
    "tokenizer_class": null,
    "top_k": 50,
    "top_p": 1.0,
    "torch_dtype": null,
    "torchscript": false,
    "transformers_version": "4.18.0.dev0",
    "typical_p": 1.0,
    "use_bfloat16": false,
    "use_scan": true,
    "use_weighted_layer_sum": false,
    "vocab_size": 32,
    "xvector_output_dim": 512
  },
  "eos_token_id": 2,
  "is_encoder_decoder": true,
  "max_length": 40,
  "model_type": "speech-encoder-decoder",
  "pad_token_id": 1,
  "processor_class": "Wav2Vec2Processor",
  "tie_word_embeddings": false,
  "transformers_version": null,
  "use_cache": false
}

loading feature extractor configuration file https://huggingface.co/sanchit-gandhi/flax-wav2vec2-2-bart-large-scan/resolve/main/preprocessor_config.json from cache at /home/sanchitgandhi/.cache/huggingface/transformers/bc2232c616201c7d3d66ba3f6a7d1186306134838dfb19786149f0e16122787d.bbc1eb890a39c82e710a893223b8452ac5b78e8b57083b2f893aa7dc59d4ed69
Feature extractor Wav2Vec2FeatureExtractor {
  "do_normalize": true,
  "feature_extractor_type": "Wav2Vec2FeatureExtractor",
  "feature_size": 1,
  "padding_side": "right",
  "padding_value": 0.0,
  "return_attention_mask": true,
  "sampling_rate": 16000
}

loading file https://huggingface.co/sanchit-gandhi/flax-wav2vec2-2-bart-large-scan/resolve/main/vocab.json from cache at /home/sanchitgandhi/.cache/huggingface/transformers/86c0de13925d1534934e540ff4c9dd778f49761b4eaf59dae3335a4f6690a814.bfdcc444ff249bca1a95ca170ec350b442f81804d7df3a95a2252217574121d7
loading file https://huggingface.co/sanchit-gandhi/flax-wav2vec2-2-bart-large-scan/resolve/main/merges.txt from cache at /home/sanchitgandhi/.cache/huggingface/transformers/7cf4fc91891684e1177d1c519689e4c310ebdec965e00d6e45134bb9227ab01b.f5b91da9e34259b8f4d88dbc97c740667a0e8430b96314460cdb04e86d4fc435
loading file https://huggingface.co/sanchit-gandhi/flax-wav2vec2-2-bart-large-scan/resolve/main/tokenizer.json from cache at /home/sanchitgandhi/.cache/huggingface/transformers/c02f3f3009bfacaa24cfead1d0f7fbf4fc2fb5f8092f68703449f02aa3a28e03.393fa6a095aa312a3cce4d5263e471bd94ec0215e6c63448a6464d59ff900814
loading file https://huggingface.co/sanchit-gandhi/flax-wav2vec2-2-bart-large-scan/resolve/main/added_tokens.json from cache at None
loading file https://huggingface.co/sanchit-gandhi/flax-wav2vec2-2-bart-large-scan/resolve/main/special_tokens_map.json from cache at /home/sanchitgandhi/.cache/huggingface/transformers/505d61b8f6e05764b5aec1483bfdd13a310681a5af54957263604323be3bbabf.a11ebb04664c067c8fe5ef8f8068b0f721263414a26058692f7b2e4ba2a1b342
loading file https://huggingface.co/sanchit-gandhi/flax-wav2vec2-2-bart-large-scan/resolve/main/tokenizer_config.json from cache at /home/sanchitgandhi/.cache/huggingface/transformers/ff79c23164eac352d7f9651f3c3774a962ce80f81460d9e17d689235fa34ee80.0e8b2b497f91e23302894a5c1f19ced6334b0abd450a7bce75a67bf0f9ee5c54
loading weights file https://huggingface.co/sanchit-gandhi/flax-wav2vec2-2-bart-large-scan/resolve/main/flax_model.msgpack from cache at /home/sanchitgandhi/.cache/huggingface/transformers/1279dc21f7dd9ed546f166e7e445e068b2672ddfa5386b2e3a3a973b8d668365.8e03496bb6919447aeb468483249e7b65dfb59c42989be9787af0aa6aa9b3f50
/home/sanchitgandhi/hf/lib/python3.8/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.
  warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '
All model checkpoint weights were used when initializing FlaxSpeechEncoderDecoderModel.

All the weights of FlaxSpeechEncoderDecoderModel were initialized from the model checkpoint at sanchit-gandhi/flax-wav2vec2-2-bart-large-scan.
If your task is similar to the task the model of the checkpoint was trained on, you can already use FlaxSpeechEncoderDecoderModel for predictions without further training.
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Feature extractor saved in ./preprocessor_config.json
tokenizer config file saved in ./tokenizer_config.json
Special tokens file saved in ./special_tokens_map.json
Configuration saved in ./config.json
loading feature extractor configuration file ./preprocessor_config.json
loading configuration file ./config.json
/home/sanchitgandhi/transformers/src/transformers/configuration_utils.py:358: UserWarning: Passing `gradient_checkpointing` to a config initialization is deprecated and will be removed in v5 Transformers. Using `model.gradient_checkpointing_enable()` instead, or if you are using the `Trainer` API, pass `gradient_checkpointing=True` in your `TrainingArguments`.
  warnings.warn(
Model config SpeechEncoderDecoderConfig {
  "_name_or_path": "./",
  "architectures": [
    "SpeechEncoderDecoderModel"
  ],
  "decoder": {
    "_name_or_path": "",
    "activation_dropout": 0.1,
    "activation_function": "gelu",
    "add_bias_logits": false,
    "add_cross_attention": true,
    "add_final_layer_norm": false,
    "architectures": [
      "BartModel"
    ],
    "attention_dropout": 0.1,
    "bad_words_ids": null,
    "bos_token_id": 0,
    "chunk_size_feed_forward": 0,
    "classif_dropout": 0.1,
    "classifier_dropout": 0.0,
    "cross_attention_hidden_size": null,
    "d_model": 1024,
    "decoder_attention_heads": 16,
    "decoder_ffn_dim": 4096,
    "decoder_layerdrop": 0.0,
    "decoder_layers": 12,
    "decoder_start_token_id": 2,
    "diversity_penalty": 0.0,
    "do_sample": false,
    "dropout": 0.1,
    "early_stopping": true,
    "encoder_attention_heads": 16,
    "encoder_ffn_dim": 4096,
    "encoder_layerdrop": 0.0,
    "encoder_layers": 12,
    "encoder_no_repeat_ngram_size": 0,
    "eos_token_id": 2,
    "exponential_decay_length_penalty": null,
    "finetuning_task": null,
    "forced_bos_token_id": 0,
    "forced_eos_token_id": 2,
    "fuse_matmuls": false,
    "gradient_checkpointing": true,
    "id2label": {
      "0": "LABEL_0",
      "1": "LABEL_1",
      "2": "LABEL_2"
    },
    "init_std": 0.02,
    "is_decoder": true,
    "is_encoder_decoder": false,
    "label2id": {
      "LABEL_0": 0,
      "LABEL_1": 1,
      "LABEL_2": 2
    },
    "length_penalty": 1.0,
    "max_length": 20,
    "max_position_embeddings": 1024,
    "min_length": 0,
    "model_type": "bart",
    "no_repeat_ngram_size": 3,
    "normalize_before": false,
    "num_beam_groups": 1,
    "num_beams": 4,
    "num_hidden_layers": 12,
    "num_return_sequences": 1,
    "output_attentions": false,
    "output_hidden_states": false,
    "output_scores": false,
    "pad_token_id": 1,
    "prefix": null,
    "problem_type": null,
    "pruned_heads": {},
    "remove_invalid_values": false,
    "repetition_penalty": 1.0,
    "return_dict": true,
    "return_dict_in_generate": false,
    "scale_embedding": false,
    "sep_token_id": null,
    "task_specific_params": {
      "summarization": {
        "length_penalty": 1.0,
        "max_length": 128,
        "min_length": 12,
        "num_beams": 4
      },
      "summarization_cnn": {
        "length_penalty": 2.0,
        "max_length": 142,
        "min_length": 56,
        "num_beams": 4
      },
      "summarization_xsum": {
        "length_penalty": 1.0,
        "max_length": 62,
        "min_length": 11,
        "num_beams": 6
      }
    },
    "temperature": 1.0,
    "tie_encoder_decoder": false,
    "tie_word_embeddings": true,
    "tokenizer_class": null,
    "top_k": 50,
    "top_p": 1.0,
    "torch_dtype": "float32",
    "torchscript": false,
    "transformers_version": "4.18.0.dev0",
    "typical_p": 1.0,
    "use_bfloat16": false,
    "use_cache": true,
    "use_scan": true,
    "vocab_size": 50265
  },
  "decoder_start_token_id": 0,
  "encoder": {
    "_name_or_path": "",
    "activation_dropout": 0.1,
    "adapter_kernel_size": 3,
    "adapter_stride": 2,
    "add_adapter": true,
    "add_cross_attention": false,
    "apply_spec_augment": true,
    "architectures": [
      "Wav2Vec2ForPreTraining"
    ],
    "attention_dropout": 0.1,
    "bad_words_ids": null,
    "bos_token_id": 1,
    "chunk_size_feed_forward": 0,
    "classifier_proj_size": 256,
    "codevector_dim": 768,
    "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
    ],
    "cross_attention_hidden_size": null,
    "ctc_loss_reduction": "sum",
    "ctc_zero_infinity": false,
    "decoder_start_token_id": null,
    "diversity_loss_weight": 0.1,
    "diversity_penalty": 0.0,
    "do_sample": false,
    "do_stable_layer_norm": true,
    "early_stopping": false,
    "encoder_no_repeat_ngram_size": 0,
    "eos_token_id": 2,
    "exponential_decay_length_penalty": null,
    "feat_extract_activation": "gelu",
    "feat_extract_dropout": 0.0,
    "feat_extract_norm": "layer",
    "feat_proj_dropout": 0.0,
    "feat_quantizer_dropout": 0.0,
    "final_dropout": 0.0,
    "finetuning_task": null,
    "forced_bos_token_id": null,
    "forced_eos_token_id": null,
    "fuse_matmuls": false,
    "gradient_checkpointing": true,
    "hidden_act": "gelu",
    "hidden_dropout": 0.1,
    "hidden_dropout_prob": 0.1,
    "hidden_size": 1024,
    "id2label": {
      "0": "LABEL_0",
      "1": "LABEL_1"
    },
    "initializer_range": 0.02,
    "intermediate_size": 4096,
    "is_decoder": false,
    "is_encoder_decoder": false,
    "label2id": {
      "LABEL_0": 0,
      "LABEL_1": 1
    },
    "layer_norm_eps": 1e-05,
    "layerdrop": 0.0,
    "length_penalty": 1.0,
    "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": 0.1,
    "max_length": 20,
    "min_length": 0,
    "model_type": "wav2vec2",
    "no_repeat_ngram_size": 0,
    "num_adapter_layers": 3,
    "num_attention_heads": 16,
    "num_beam_groups": 1,
    "num_beams": 1,
    "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": 24,
    "num_negatives": 100,
    "num_return_sequences": 1,
    "output_attentions": false,
    "output_hidden_size": 1024,
    "output_hidden_states": false,
    "output_scores": false,
    "pad_token_id": 0,
    "prefix": null,
    "problem_type": null,
    "proj_codevector_dim": 768,
    "pruned_heads": {},
    "remove_invalid_values": false,
    "repetition_penalty": 1.0,
    "return_dict": true,
    "return_dict_in_generate": false,
    "sep_token_id": null,
    "task_specific_params": null,
    "tdnn_dilation": [
      1,
      2,
      3,
      1,
      1
    ],
    "tdnn_dim": [
      512,
      512,
      512,
      512,
      1500
    ],
    "tdnn_kernel": [
      5,
      3,
      3,
      1,
      1
    ],
    "temperature": 1.0,
    "tie_encoder_decoder": false,
    "tie_word_embeddings": true,
    "tokenizer_class": null,
    "top_k": 50,
    "top_p": 1.0,
    "torch_dtype": null,
    "torchscript": false,
    "transformers_version": "4.18.0.dev0",
    "typical_p": 1.0,
    "use_bfloat16": false,
    "use_scan": true,
    "use_weighted_layer_sum": false,
    "vocab_size": 32,
    "xvector_output_dim": 512
  },
  "eos_token_id": 2,
  "is_encoder_decoder": true,
  "max_length": 40,
  "model_type": "speech-encoder-decoder",
  "pad_token_id": 1,
  "processor_class": "Wav2Vec2Processor",
  "tie_word_embeddings": false,
  "transformers_version": null,
  "use_cache": false
}

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": 0.0,
  "return_attention_mask": true,
  "sampling_rate": 16000
}

Didn't find file ./added_tokens.json. We won't load it.
loading file ./vocab.json
loading file ./merges.txt
loading file ./tokenizer.json
loading file None
loading file ./special_tokens_map.json
loading file ./tokenizer_config.json
05/10/2022 15:17:40 - WARNING - __main__ - Unable to display metrics through TensorBoard because the package is not installed: Please run `pip install tensorboard` to enable.
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
/home/sanchitgandhi/flax-wav2vec2-2-bart-large-voxpopuli-baseline/./ is already a clone of https://huggingface.co/sanchit-gandhi/flax-wav2vec2-2-bart-large-voxpopuli-baseline. Make sure you pull the latest changes with `repo.git_pull()`.
05/10/2022 15:17:45 - WARNING - huggingface_hub.repository - /home/sanchitgandhi/flax-wav2vec2-2-bart-large-voxpopuli-baseline/./ is already a clone of https://huggingface.co/sanchit-gandhi/flax-wav2vec2-2-bart-large-voxpopuli-baseline. Make sure you pull the latest changes with `repo.git_pull()`.
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
05/10/2022 15:17:49 - INFO - __main__ - ***** Running training *****
05/10/2022 15:17:49 - INFO - __main__ -   Num examples = 166970
05/10/2022 15:17:49 - INFO - __main__ -   Num Epochs = 20
05/10/2022 15:17:49 - INFO - __main__ -   Instantaneous batch size per device = 8
05/10/2022 15:17:49 - INFO - __main__ -   Num gradient accumulation steps = 1
05/10/2022 15:17:49 - INFO - __main__ -   Total train batch size (w. parallel & distributed) = 64
05/10/2022 15:17:49 - INFO - __main__ -   Total optimization steps = 50000
05/10/2022 15:17:49 - INFO - __main__ -   Gradient checkpointing: True
05/10/2022 15:17:49 - INFO - __main__ -   Use scan: True
05/10/2022 15:17:49 - INFO - __main__ -   Fuse matmuls: False
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  warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '

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Step... (4500 | Loss: 0.47209861874580383, Learning Rate: 9.192121069645509e-05, Gradient Norm: 1.4353619813919067)
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/home/sanchitgandhi/hf/lib/python3.8/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.
  warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '


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Evaluating ...:  14% 7/49 [04:22<23:42, 33.86s/it][A[A/home/sanchitgandhi/hf/lib/python3.8/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.
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  warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '


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  warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '


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Model weights saved in /home/sanchitgandhi/flax-wav2vec2-2-bart-large-voxpopuli-baseline/flax_model.msgpack
tokenizer config file saved in ./tokenizer_config.json
Special tokens file saved in ./special_tokens_map.json
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)

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/home/sanchitgandhi/hf/lib/python3.8/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.
  warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '
                                                                                                                             
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Model weights saved in /home/sanchitgandhi/flax-wav2vec2-2-bart-large-voxpopuli-baseline/flax_model.msgpack
tokenizer config file saved in ./tokenizer_config.json
Special tokens file saved in ./special_tokens_map.json
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
Several commits (2) will be pushed upstream.
Epoch... (8/20 | Eval Loss: 0.5150057673454285 | Eval wer: 0.1716611172770995 |)
05/11/2022 11:33:04 - WARNING - huggingface_hub.repository - Several commits (2) will be pushed upstream.
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)

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/home/sanchitgandhi/hf/lib/python3.8/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.
  warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '
                                                                                                                             
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Model weights saved in /home/sanchitgandhi/flax-wav2vec2-2-bart-large-voxpopuli-baseline/flax_model.msgpack
tokenizer config file saved in ./tokenizer_config.json
Special tokens file saved in ./special_tokens_map.json
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
Epoch... (12/20 | Eval Loss: 0.6354798674583435 | Eval wer: 0.1691852357779106 |)
05/11/2022 21:40:07 - WARNING - huggingface_hub.repository - Adding files tracked by Git LFS: ['wandb/run-20220510_091910-3qamzxaf/logs/debug-internal.log', 'wandb/run-20220510_091910-3qamzxaf/run-3qamzxaf.wandb']. This may take a bit of time if the files are large.
Adding files tracked by Git LFS: ['wandb/run-20220510_091910-3qamzxaf/logs/debug-internal.log', 'wandb/run-20220510_091910-3qamzxaf/run-3qamzxaf.wandb']. This may take a bit of time if the files are large.
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
Several commits (3) will be pushed upstream.
05/11/2022 21:40:24 - WARNING - huggingface_hub.repository - Several commits (3) will be pushed upstream.
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)

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/home/sanchitgandhi/hf/lib/python3.8/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.
  warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '
                                                                                                                              
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Model weights saved in /home/sanchitgandhi/flax-wav2vec2-2-bart-large-voxpopuli-baseline/flax_model.msgpack
tokenizer config file saved in ./tokenizer_config.json
Special tokens file saved in ./special_tokens_map.json
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
Epoch... (16/20 | Eval Loss: 0.6871211528778076 | Eval wer: 0.17743817410854038 |)
05/12/2022 07:52:11 - WARNING - huggingface_hub.repository - Several commits (4) will be pushed upstream.
Several commits (4) will be pushed upstream.
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)

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                                                        [AStep... (46950 | Loss: 0.0011986737372353673, Learning Rate: 6.163638772704871e-06, Gradient Norm: 0.08821069449186325)
Step... (46975 | Loss: 0.00016513392620254308, Learning Rate: 6.113129529694561e-06, Gradient Norm: 0.014496863819658756)
Step... (47000 | Loss: 0.001731639145873487, Learning Rate: 6.062626653147163e-06, Gradient Norm: 0.10852781683206558)
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                                                     [AEpoch... (16/20 | Eval Loss: 0.6871211528778076 | Eval wer: 0.17743817410854038 |):  95% 19/20 [50:43:48<2:39:31, 9571.25s/it]
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                                                   [AEpoch... (16/20 | Eval Loss: 0.6871211528778076 | Eval wer: 0.17743817410854038 |):  95% 19/20 [50:44:49<2:39:31, 9571.25s/it]
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Configuration saved in /home/sanchitgandhi/flax-wav2vec2-2-bart-large-voxpopuli-baseline/config.json
Model weights saved in /home/sanchitgandhi/flax-wav2vec2-2-bart-large-voxpopuli-baseline/flax_model.msgpack
tokenizer config file saved in ./tokenizer_config.json
Special tokens file saved in ./special_tokens_map.json
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
Several commits (5) will be pushed upstream.
Step... (49575 | Loss: 0.0008049218449741602, Learning Rate: 8.606075994066487e-07, Gradient Norm: 0.08448567986488342)
Step... (49600 | Loss: 0.00045061061973683536, Learning Rate: 8.100986406134325e-07, Gradient Norm: 0.12135329842567444)
Step... (49625 | Loss: 0.000609855109360069, Learning Rate: 7.595955935357779e-07, Gradient Norm: 0.07031852751970291)
Step... (49650 | Loss: 0.0036411115434020758, Learning Rate: 7.090926033015421e-07, Gradient Norm: 0.21095743775367737)
Step... (49675 | Loss: 0.0007572670583613217, Learning Rate: 6.58583644508326e-07, Gradient Norm: 0.14509636163711548)
Step... (49700 | Loss: 0.00010482245124876499, Learning Rate: 6.080805974306713e-07, Gradient Norm: 0.008609727956354618)
Step... (49725 | Loss: 0.0012168620014563203, Learning Rate: 5.575776071964356e-07, Gradient Norm: 0.12502631545066833)
Step... (49750 | Loss: 0.0014470757450908422, Learning Rate: 5.070686484032194e-07, Gradient Norm: 0.14554691314697266)
Step... (49775 | Loss: 0.0014198925346136093, Learning Rate: 4.565656013255648e-07, Gradient Norm: 0.2150793969631195)
Step... (49800 | Loss: 0.007865766063332558, Learning Rate: 4.060625826696196e-07, Gradient Norm: 0.28921616077423096)
Step... (49825 | Loss: 0.0007041110075078905, Learning Rate: 3.5555362387640344e-07, Gradient Norm: 0.0631718635559082)
Step... (49850 | Loss: 0.00443269731476903, Learning Rate: 3.0505060522045824e-07, Gradient Norm: 0.2532790005207062)
Step... (49875 | Loss: 0.0002698141906876117, Learning Rate: 2.5454758656451304e-07, Gradient Norm: 0.0231963898986578)
Step... (49900 | Loss: 0.0014361627399921417, Learning Rate: 2.0403861356044217e-07, Gradient Norm: 0.10514415800571442)
Step... (49925 | Loss: 0.00023036732454784214, Learning Rate: 1.5353559490449697e-07, Gradient Norm: 0.02165192738175392)
Step... (49950 | Loss: 0.0001330664672423154, Learning Rate: 1.0303258335397913e-07, Gradient Norm: 0.018928635865449905)
Step... (49975 | Loss: 0.0012248300481587648, Learning Rate: 5.252361034990827e-08, Gradient Norm: 0.1149071455001831)
Step... (50000 | Loss: 5.4057087254477665e-05, Learning Rate: 2.0205974671227978e-09, Gradient Norm: 0.0033839710522443056)
05/12/2022 18:04:09 - WARNING - huggingface_hub.repository - Several commits (5) will be pushed upstream.
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)


Evaluating ...:   0% 0/49 [00:00<?, ?it/s][A[A/home/sanchitgandhi/hf/lib/python3.8/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.
  warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '
/home/sanchitgandhi/hf/lib/python3.8/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.
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  warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '
/home/sanchitgandhi/hf/lib/python3.8/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.
  warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '


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  warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '
/home/sanchitgandhi/hf/lib/python3.8/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.
  warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '


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  warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '
/home/sanchitgandhi/hf/lib/python3.8/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.
  warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '


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  warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '
/home/sanchitgandhi/hf/lib/python3.8/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.
  warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '


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  warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '
/home/sanchitgandhi/hf/lib/python3.8/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.
  warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '


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  warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '
/home/sanchitgandhi/hf/lib/python3.8/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.
  warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '


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  warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '
/home/sanchitgandhi/hf/lib/python3.8/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.
  warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '


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  warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '
/home/sanchitgandhi/hf/lib/python3.8/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.
  warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '


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  warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '
/home/sanchitgandhi/hf/lib/python3.8/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.
  warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '


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  warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '
/home/sanchitgandhi/hf/lib/python3.8/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.
  warnings.warn('jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() '


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/home/sanchitgandhi/hf/lib/python3.8/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.
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/home/sanchitgandhi/hf/lib/python3.8/site-packages/jax/_src/tree_util.py:188: FutureWarning: jax.tree_util.tree_multimap() is deprecated. Please use jax.tree_util.tree_map() instead as a drop-in replacement.
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Epoch... (20/20 | test Loss: 0.6892029047012329 | test wer: 0.14375220374840653 |)
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wandb: Waiting for W&B process to finish... (success).
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wandb: 
wandb: Run history:
wandb:                eval/loss ▁▃▆▇█
wandb:                 eval/wer ▁▇▆█▁
wandb:                test/loss ▁
wandb:                 test/wer ▁
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wandb: train/decoder_param_norm ▃▂▁▁▁▂▂▃▃▄▄▅▅▅▆▆▆▆▇▇▇▇▇▇████████████████
wandb:  train/encoder_grad_norm ▇█▅▄▄▃▃█▃▃▄▃▂▃▃▃▃▃▂▃▃▂▂▂▂▂▂▂▂▂▁▂▁▁▁▁▁▁▁▁
wandb: train/encoder_param_norm ▁▂▂▃▃▃▄▄▄▅▅▅▆▆▆▆▇▇▇▇▇▇▇█████████████████
wandb:          train/grad_norm ▆▄▃▂▂▂▂█▂▂▂▂▂▂▂▂▂▂▂▂▂▁▂▁▁▁▂▁▁▁▁▁▁▁▁▁▁▁▁▁
wandb:      train/learning_rate ▇███▇▇▇▇▇▇▆▆▆▆▆▅▅▅▅▅▄▄▄▄▄▄▃▃▃▃▃▂▂▂▂▂▂▁▁▁
wandb:               train/loss █▃▂▂▂▁▁▂▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁
wandb:         train/param_norm ▁▁▁▂▂▃▃▃▄▄▅▅▅▆▆▆▆▇▇▇▇▇▇▇████████████████
wandb: 
wandb: Run summary:
wandb:                eval/loss 0.73377
wandb:                 eval/wer 0.15111
wandb:                test/loss 0.6892
wandb:                 test/wer 0.14375
wandb:  train/decoder_grad_norm 0.00273
wandb: train/decoder_param_norm 1063.03467
wandb:  train/encoder_grad_norm 0.002
wandb: train/encoder_param_norm 2323.10889
wandb:          train/grad_norm 0.00338
wandb:      train/learning_rate 0.0
wandb:               train/loss 5e-05
wandb:         train/param_norm 2554.77539
wandb: 
wandb: Synced flax-wav2vec2-2-bart-large-voxpopuli-baseline: https://wandb.ai/sanchit-gandhi/voxpopuli/runs/3qamzxaf
wandb: Synced 5 W&B file(s), 8 media file(s), 8 artifact file(s) and 0 other file(s)
wandb: Find logs at: ./wandb/run-20220510_091910-3qamzxaf/logs