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[16:04:24] - INFO - __main__ - Training/evaluation parameters TrainingArguments(
_n_gpu=-1,
adafactor=False,
adam_beta1=0.9,
adam_beta2=0.999,
adam_epsilon=1e-08,
dataloader_drop_last=False,
dataloader_num_workers=0,
dataloader_pin_memory=True,
ddp_find_unused_parameters=None,
debug=[],
deepspeed=None,
disable_tqdm=False,
do_eval=False,
do_predict=False,
do_train=False,
eval_accumulation_steps=None,
eval_steps=500,
evaluation_strategy=IntervalStrategy.NO,
fp16=False,
fp16_backend=auto,
fp16_full_eval=False,
fp16_opt_level=O1,
gradient_accumulation_steps=1,
greater_is_better=None,
group_by_length=False,
ignore_data_skip=False,
label_names=None,
label_smoothing_factor=0.0,
learning_rate=0.0003,
length_column_name=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/Jul08_16-04-24_t1v-n-112df4a9-w-0,
logging_first_step=False,
logging_steps=500,
logging_strategy=IntervalStrategy.STEPS,
lr_scheduler_type=SchedulerType.LINEAR,
max_grad_norm=1.0,
max_steps=-1,
metric_for_best_model=None,
mp_parameters=,
no_cuda=False,
num_train_epochs=8.0,
output_dir=./,
overwrite_output_dir=True,
past_index=-1,
per_device_eval_batch_size=4,
per_device_train_batch_size=4,
prediction_loss_only=False,
push_to_hub=True,
push_to_hub_model_id=flax-community/roberta-base-mr,
push_to_hub_organization=None,
push_to_hub_token=vdIAyRvCACJNslYtyLHufmNDnUIyknPzUgVDMFiXqJoulvMqjoubonLJzXOJQJczWfRMJumVaMFjGSFVnQAMdswvZkzNIthKrxBeARBXfqnIwjABkKpCbjGEgnkjpjKi,
remove_unused_columns=True,
report_to=[],
resume_from_checkpoint=None,
run_name=./,
save_on_each_node=False,
save_steps=500,
save_strategy=IntervalStrategy.STEPS,
save_total_limit=None,
seed=42,
sharded_ddp=[],
skip_memory_metrics=True,
tpu_metrics_debug=False,
tpu_num_cores=None,
use_legacy_prediction_loop=False,
warmup_ratio=0.0,
warmup_steps=1000,
weight_decay=0.0,
)
[16:04:24] - DEBUG - urllib3.connectionpool - Starting new HTTPS connection (1): s3.amazonaws.com:443
[16:04:24] - DEBUG - urllib3.connectionpool - https://s3.amazonaws.com:443 "HEAD /datasets.huggingface.co/datasets/datasets/oscar/oscar.py HTTP/1.1" 404 0
[16:04:24] - DEBUG - urllib3.connectionpool - Starting new HTTPS connection (1): raw.githubusercontent.com:443
[16:04:24] - DEBUG - urllib3.connectionpool - https://raw.githubusercontent.com:443 "HEAD /huggingface/datasets/master/datasets/oscar/oscar.py HTTP/1.1" 200 0
[16:04:24] - DEBUG - urllib3.connectionpool - Starting new HTTPS connection (1): raw.githubusercontent.com:443
[16:04:24] - DEBUG - urllib3.connectionpool - https://raw.githubusercontent.com:443 "HEAD /huggingface/datasets/master/datasets/oscar/dataset_infos.json HTTP/1.1" 200 0
[16:04:24] - WARNING - datasets.builder - Reusing dataset oscar (/home/nipunsadvilkar/.cache/huggingface/datasets/oscar/unshuffled_deduplicated_als/1.0.0/84838bd49d2295f62008383b05620571535451d84545037bb94d6f3501651df2)
[16:04:24] - DEBUG - urllib3.connectionpool - Starting new HTTPS connection (1): s3.amazonaws.com:443
[16:04:24] - DEBUG - urllib3.connectionpool - https://s3.amazonaws.com:443 "HEAD /datasets.huggingface.co/datasets/datasets/oscar/oscar.py HTTP/1.1" 404 0
[16:04:24] - DEBUG - urllib3.connectionpool - Starting new HTTPS connection (1): raw.githubusercontent.com:443
[16:04:24] - DEBUG - urllib3.connectionpool - https://raw.githubusercontent.com:443 "HEAD /huggingface/datasets/master/datasets/oscar/oscar.py HTTP/1.1" 200 0
[16:04:24] - DEBUG - urllib3.connectionpool - Starting new HTTPS connection (1): raw.githubusercontent.com:443
[16:04:24] - DEBUG - urllib3.connectionpool - https://raw.githubusercontent.com:443 "HEAD /huggingface/datasets/master/datasets/oscar/dataset_infos.json HTTP/1.1" 200 0
[16:04:24] - WARNING - datasets.builder - Reusing dataset oscar (/home/nipunsadvilkar/.cache/huggingface/datasets/oscar/unshuffled_deduplicated_als/1.0.0/84838bd49d2295f62008383b05620571535451d84545037bb94d6f3501651df2)
[16:04:24] - DEBUG - urllib3.connectionpool - Starting new HTTPS connection (1): s3.amazonaws.com:443
[16:04:25] - DEBUG - urllib3.connectionpool - https://s3.amazonaws.com:443 "HEAD /datasets.huggingface.co/datasets/datasets/oscar/oscar.py HTTP/1.1" 404 0
[16:04:25] - DEBUG - urllib3.connectionpool - Starting new HTTPS connection (1): raw.githubusercontent.com:443
[16:04:25] - DEBUG - urllib3.connectionpool - https://raw.githubusercontent.com:443 "HEAD /huggingface/datasets/master/datasets/oscar/oscar.py HTTP/1.1" 200 0
[16:04:25] - DEBUG - urllib3.connectionpool - Starting new HTTPS connection (1): raw.githubusercontent.com:443
[16:04:25] - DEBUG - urllib3.connectionpool - https://raw.githubusercontent.com:443 "HEAD /huggingface/datasets/master/datasets/oscar/dataset_infos.json HTTP/1.1" 200 0
[16:04:25] - WARNING - datasets.builder - Reusing dataset oscar (/home/nipunsadvilkar/.cache/huggingface/datasets/oscar/unshuffled_deduplicated_als/1.0.0/84838bd49d2295f62008383b05620571535451d84545037bb94d6f3501651df2)

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[16:04:29] - WARNING - __main__ - Unable to display metrics through TensorBoard because the package is not installed: Please run pip install tensorboard to enable.
[16:04:29] - INFO - absl - Starting the local TPU driver.
[16:04:29] - INFO - absl - Unable to initialize backend 'tpu_driver': Not found: Unable to find driver in registry given worker: local://
[16:04:29] - INFO - absl - Unable to initialize backend 'gpu': Not found: Could not find registered platform with name: "cuda". Available platform names are: Interpreter TPU Host
/home/nipunsadvilkar/roberta_mr_env/lib/python3.8/site-packages/jax/lib/xla_bridge.py:382: UserWarning: jax.host_count has been renamed to jax.process_count. This alias will eventually be removed; please update your code.
  warnings.warn(
/home/nipunsadvilkar/roberta_mr_env/lib/python3.8/site-packages/jax/lib/xla_bridge.py:369: UserWarning: jax.host_id has been renamed to jax.process_index. This alias will eventually be removed; please update your code.
  warnings.warn(

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Training...:  51%|█████     | 72/142 [00:02<00:02, 34.41it/s]
                                                              

                                                             

Epoch ... (1/8):  38%|███▊      | 3/8 [01:28<01:43, 20.71s/it]

Training...:  51%|█████     | 72/142 [00:02<00:02, 34.41it/s]Step... (500 | Loss: 8.018753051757812, Learning Rate: 0.0001500000071246177)



Evaluating ...:   0%|          | 0/10 [00:00<?, ?it/s]


Evaluating ...:  10%|█         | 1/10 [00:04<00:41,  4.60s/it]


Evaluating ...:  90%|█████████ | 9/10 [00:04<00:00,  2.62it/s]
Evaluating ...: 100%|██████████| 10/10 [00:04<00:00,  2.12it/s]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)

[16:06:12] - INFO - huggingface_hub.repository - git version 2.25.1
git-lfs/2.9.2 (GitHub; linux amd64; go 1.13.5)
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)
[16:06:12] - DEBUG - huggingface_hub.repository - [Repository] is a valid git repo
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)