Hugging Face's logo

DorinSht
/
ShareGPT_llama2_68M

Text Generation
Transformers
TensorBoard
Safetensors
llama
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Metrics Community
ShareGPT_llama2_68M / log.txt
DorinSht's picture
DorinSht
Training in progress, step 1000
cb3cf8a verified
raw
history blame
80.8 kB
2024-06-05 00:42:33.461959: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2024-06-05 00:42:33.462196: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2024-06-05 00:42:33.727223: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2024-06-05 00:42:34.201012: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2024-06-05 00:42:40.034107: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
06/05/2024 00:42:58 - WARNING - __main__ - Process rank: 0, device: cuda:0, n_gpu: 6, distributed training: False, 16-bits training: False
06/05/2024 00:42:58 - INFO - __main__ - Training/evaluation parameters TrainingArguments(
_n_gpu=6,
accelerator_config={'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None},
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_persistent_workers=False,
dataloader_pin_memory=True,
dataloader_prefetch_factor=None,
ddp_backend=None,
ddp_broadcast_buffers=None,
ddp_bucket_cap_mb=None,
ddp_find_unused_parameters=None,
ddp_timeout=1800,
debug=[],
deepspeed=None,
disable_tqdm=False,
dispatch_batches=None,
do_eval=True,
do_predict=False,
do_train=True,
eval_accumulation_steps=None,
eval_delay=0,
eval_do_concat_batches=True,
eval_steps=1000,
eval_strategy=steps,
evaluation_strategy=None,
fp16=False,
fp16_backend=auto,
fp16_full_eval=False,
fp16_opt_level=O1,
fsdp=[],
fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False},
fsdp_min_num_params=0,
fsdp_transformer_layer_cls_to_wrap=None,
full_determinism=False,
gradient_accumulation_steps=1,
gradient_checkpointing=False,
gradient_checkpointing_kwargs=None,
greater_is_better=None,
group_by_length=False,
half_precision_backend=auto,
hub_always_push=False,
hub_model_id=DorinSht/ShareGPT_llama2_68M,
hub_private_repo=False,
hub_strategy=checkpoint,
hub_token=<HUB_TOKEN>,
ignore_data_skip=False,
include_inputs_for_metrics=False,
include_num_input_tokens_seen=False,
include_tokens_per_second=False,
jit_mode_eval=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=0,
log_level=passive,
log_level_replica=warning,
log_on_each_node=True,
logging_dir=./training_outputs_job_117535_1_05-06_00-42,
logging_first_step=False,
logging_nan_inf_filter=True,
logging_steps=500,
logging_strategy=steps,
lr_scheduler_kwargs={},
lr_scheduler_type=linear,
max_grad_norm=1.0,
max_steps=-1,
metric_for_best_model=None,
mp_parameters=,
neftune_noise_alpha=None,
no_cuda=False,
num_train_epochs=3.0,
optim=adamw_torch,
optim_args=None,
optim_target_modules=None,
output_dir=./training_outputs_job_117535_1_05-06_00-42,
overwrite_output_dir=True,
past_index=-1,
per_device_eval_batch_size=8,
per_device_train_batch_size=4,
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'],
restore_callback_states_from_checkpoint=False,
resume_from_checkpoint=None,
run_name=/home/dshteyma/target_draft_coupling_code/target_draft_training/training_outputs,
save_on_each_node=False,
save_only_model=False,
save_safetensors=True,
save_steps=1000,
save_strategy=steps,
save_total_limit=None,
seed=42,
skip_memory_metrics=True,
split_batches=None,
tf32=None,
torch_compile=False,
torch_compile_backend=None,
torch_compile_mode=None,
torchdynamo=None,
tpu_metrics_debug=False,
tpu_num_cores=None,
use_cpu=False,
use_ipex=False,
use_legacy_prediction_loop=False,
use_mps_device=False,
warmup_ratio=0.05,
warmup_steps=0,
weight_decay=0.01,
)
Using custom data configuration default-afe4b27d28cbdcb1
06/05/2024 00:42:59 - INFO - datasets.builder - Using custom data configuration default-afe4b27d28cbdcb1
Loading Dataset Infos from /home/dshteyma/miniconda3/lib/python3.9/site-packages/datasets/packaged_modules/json
06/05/2024 00:42:59 - INFO - datasets.info - Loading Dataset Infos from /home/dshteyma/miniconda3/lib/python3.9/site-packages/datasets/packaged_modules/json
Overwrite dataset info from restored data version if exists.
06/05/2024 00:42:59 - INFO - datasets.builder - Overwrite dataset info from restored data version if exists.
Loading Dataset info from /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7
06/05/2024 00:42:59 - INFO - datasets.info - Loading Dataset info from /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7
Found cached dataset json (/home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7)
06/05/2024 00:42:59 - INFO - datasets.builder - Found cached dataset json (/home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7)
Loading Dataset info from /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7
06/05/2024 00:42:59 - INFO - datasets.info - Loading Dataset info from /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7
Using custom data configuration default-afe4b27d28cbdcb1
06/05/2024 00:43:00 - INFO - datasets.builder - Using custom data configuration default-afe4b27d28cbdcb1
Loading Dataset Infos from /home/dshteyma/miniconda3/lib/python3.9/site-packages/datasets/packaged_modules/json
06/05/2024 00:43:00 - INFO - datasets.info - Loading Dataset Infos from /home/dshteyma/miniconda3/lib/python3.9/site-packages/datasets/packaged_modules/json
Overwrite dataset info from restored data version if exists.
06/05/2024 00:43:00 - INFO - datasets.builder - Overwrite dataset info from restored data version if exists.
Loading Dataset info from /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7
06/05/2024 00:43:00 - INFO - datasets.info - Loading Dataset info from /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7
Found cached dataset json (/home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7)
06/05/2024 00:43:00 - INFO - datasets.builder - Found cached dataset json (/home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7)
Loading Dataset info from /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7
06/05/2024 00:43:00 - INFO - datasets.info - Loading Dataset info from /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7
Using custom data configuration default-afe4b27d28cbdcb1
06/05/2024 00:43:00 - INFO - datasets.builder - Using custom data configuration default-afe4b27d28cbdcb1
Loading Dataset Infos from /home/dshteyma/miniconda3/lib/python3.9/site-packages/datasets/packaged_modules/json
06/05/2024 00:43:00 - INFO - datasets.info - Loading Dataset Infos from /home/dshteyma/miniconda3/lib/python3.9/site-packages/datasets/packaged_modules/json
Overwrite dataset info from restored data version if exists.
06/05/2024 00:43:00 - INFO - datasets.builder - Overwrite dataset info from restored data version if exists.
Loading Dataset info from /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7
06/05/2024 00:43:00 - INFO - datasets.info - Loading Dataset info from /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7
Found cached dataset json (/home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7)
06/05/2024 00:43:00 - INFO - datasets.builder - Found cached dataset json (/home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7)
Loading Dataset info from /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7
06/05/2024 00:43:00 - INFO - datasets.info - Loading Dataset info from /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7
[INFO|configuration_utils.py:726] 2024-06-05 00:43:01,226 >> loading configuration file config.json from cache at /home/dshteyma/.cache/huggingface/hub/models--JackFram--llama-68m/snapshots/964a5d77df908b69f8d6476fb70e940425b04cb5/config.json
[INFO|configuration_utils.py:789] 2024-06-05 00:43:01,228 >> Model config LlamaConfig {
"_name_or_path": "JackFram/llama-68m",
"architectures": [
"LlamaForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"bos_token_id": 0,
"eos_token_id": 2,
"hidden_act": "silu",
"hidden_size": 768,
"initializer_range": 0.02,
"intermediate_size": 3072,
"max_position_embeddings": 2048,
"model_type": "llama",
"num_attention_heads": 12,
"num_hidden_layers": 2,
"num_key_value_heads": 12,
"pad_token_id": 1,
"pretraining_tp": 1,
"rms_norm_eps": 1e-06,
"rope_scaling": null,
"rope_theta": 10000.0,
"tie_word_embeddings": false,
"torch_dtype": "float32",
"transformers_version": "4.41.0.dev0",
"use_cache": true,
"vocab_size": 32000
}
[INFO|tokenization_utils_base.py:2102] 2024-06-05 00:43:01,386 >> loading file tokenizer.model from cache at /home/dshteyma/.cache/huggingface/hub/models--JackFram--llama-68m/snapshots/964a5d77df908b69f8d6476fb70e940425b04cb5/tokenizer.model
[INFO|tokenization_utils_base.py:2102] 2024-06-05 00:43:01,386 >> loading file tokenizer.json from cache at None
[INFO|tokenization_utils_base.py:2102] 2024-06-05 00:43:01,386 >> loading file added_tokens.json from cache at None
[INFO|tokenization_utils_base.py:2102] 2024-06-05 00:43:01,386 >> loading file special_tokens_map.json from cache at /home/dshteyma/.cache/huggingface/hub/models--JackFram--llama-68m/snapshots/964a5d77df908b69f8d6476fb70e940425b04cb5/special_tokens_map.json
[INFO|tokenization_utils_base.py:2102] 2024-06-05 00:43:01,386 >> loading file tokenizer_config.json from cache at /home/dshteyma/.cache/huggingface/hub/models--JackFram--llama-68m/snapshots/964a5d77df908b69f8d6476fb70e940425b04cb5/tokenizer_config.json
[WARNING|logging.py:329] 2024-06-05 00:43:01,390 >> You are using the default legacy behaviour of the <class 'transformers.models.llama.tokenization_llama.LlamaTokenizer'>. This is expected, and simply means that the `legacy` (previous) behavior will be used so nothing changes for you. If you want to use the new behaviour, set `legacy=False`. This should only be set if you understand what it means, and thoroughly read the reason why this was added as explained in https://github.com/huggingface/transformers/pull/24565
[WARNING|logging.py:329] 2024-06-05 00:43:01,502 >> You are using the default legacy behaviour of the <class 'transformers.models.llama.tokenization_llama_fast.LlamaTokenizerFast'>. This is expected, and simply means that the `legacy` (previous) behavior will be used so nothing changes for you. If you want to use the new behaviour, set `legacy=False`. This should only be set if you understand what it means, and thoroughly read the reason why this was added as explained in https://github.com/huggingface/transformers/pull/24565
[INFO|configuration_utils.py:936] 2024-06-05 00:43:02,135 >> Generate config GenerationConfig {
"bos_token_id": 0,
"eos_token_id": 2,
"pad_token_id": 1
}
06/05/2024 00:43:03 - INFO - __main__ - Training new model from scratch - Total size=64.88M params
Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-988d048fea8d2473.arrow
06/05/2024 00:43:03 - INFO - datasets.arrow_dataset - Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-988d048fea8d2473.arrow
Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-4e281c930893bca9.arrow
06/05/2024 00:43:03 - INFO - datasets.arrow_dataset - Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-4e281c930893bca9.arrow
Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-3fe350bccdda6078.arrow
06/05/2024 00:43:03 - INFO - datasets.arrow_dataset - Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-3fe350bccdda6078.arrow
Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-35d09b588a0c62b9.arrow
06/05/2024 00:43:03 - INFO - datasets.arrow_dataset - Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-35d09b588a0c62b9.arrow
Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-4e5279ee31a5d8d3.arrow
06/05/2024 00:43:03 - INFO - datasets.arrow_dataset - Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-4e5279ee31a5d8d3.arrow
Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-63d56456928edd43.arrow
06/05/2024 00:43:03 - INFO - datasets.arrow_dataset - Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-63d56456928edd43.arrow
Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-6a784a78d9818240.arrow
06/05/2024 00:43:04 - INFO - datasets.arrow_dataset - Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-6a784a78d9818240.arrow
06/05/2024 00:43:04 - INFO - datasets.arrow_dataset - Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-46540f58a00a92bf.arrow
Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-46540f58a00a92bf.arrow
Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-73605724efaea9d2.arrow
06/05/2024 00:43:04 - INFO - datasets.arrow_dataset - Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-73605724efaea9d2.arrow
06/05/2024 00:43:04 - INFO - datasets.arrow_dataset - Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-83d3df87e1b82021.arrow
Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-83d3df87e1b82021.arrow
Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-efdbb02491aa6344.arrow
06/05/2024 00:43:04 - INFO - datasets.arrow_dataset - Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-efdbb02491aa6344.arrow
Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-0cf2ae38fef927f3.arrow
06/05/2024 00:43:04 - INFO - datasets.arrow_dataset - Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-0cf2ae38fef927f3.arrow
06/05/2024 00:43:04 - WARNING - accelerate.utils.other - Detected kernel version 5.4.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
[INFO|trainer.py:2068] 2024-06-05 00:43:05,738 >> ***** Running training *****
[INFO|trainer.py:2069] 2024-06-05 00:43:05,738 >> Num examples = 90,745
[INFO|trainer.py:2070] 2024-06-05 00:43:05,738 >> Num Epochs = 3
[INFO|trainer.py:2071] 2024-06-05 00:43:05,738 >> Instantaneous batch size per device = 4
[INFO|trainer.py:2073] 2024-06-05 00:43:05,738 >> Training with DataParallel so batch size has been adjusted to: 24
[INFO|trainer.py:2074] 2024-06-05 00:43:05,738 >> Total train batch size (w. parallel, distributed & accumulation) = 24
[INFO|trainer.py:2075] 2024-06-05 00:43:05,738 >> Gradient Accumulation steps = 1
[INFO|trainer.py:2076] 2024-06-05 00:43:05,738 >> Total optimization steps = 11,346
[INFO|trainer.py:2077] 2024-06-05 00:43:05,738 >> Number of trainable parameters = 68,030,208
0%| | 0/11346 [00:00<?, ?it/s]/home/dshteyma/miniconda3/lib/python3.9/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
warnings.warn('Was asked to gather along dimension 0, but all '
0%| | 1/11346 [00:06<19:21:21, 6.14s/it] 0%| | 2/11346 [00:07<10:14:21, 3.25s/it] 0%| | 3/11346 [00:08<7:16:51, 2.31s/it] 0%| | 4/11346 [00:09<5:52:04, 1.86s/it] 0%| | 5/11346 [00:10<5:03:25, 1.61s/it] 0%| | 6/11346 [00:12<4:31:54, 1.44s/it] 0%| | 7/11346 [00:13<4:11:56, 1.33s/it] 0%| | 8/11346 [00:14<3:58:31, 1.26s/it] 0%| | 9/11346 [00:15<3:50:04, 1.22s/it] 0%| | 10/11346 [00:16<3:43:00, 1.18s/it] 0%| | 11/11346 [00:17<3:37:30, 1.15s/it] 0%| | 12/11346 [00:18<3:37:03, 1.15s/it] 0%| | 13/11346 [00:19<3:34:41, 1.14s/it] 0%| | 14/11346 [00:20<3:32:54, 1.13s/it] 0%| | 15/11346 [00:21<3:31:02, 1.12s/it] 0%| | 16/11346 [00:23<3:30:48, 1.12s/it] 0%| | 17/11346 [00:24<3:29:04, 1.11s/it] 0%| | 18/11346 [00:25<3:30:29, 1.11s/it] 0%| | 19/11346 [00:26<3:30:14, 1.11s/it] 0%| | 20/11346 [00:27<3:29:33, 1.11s/it] 0%| | 21/11346 [00:28<3:27:34, 1.10s/it] 0%| | 22/11346 [00:29<3:27:34, 1.10s/it] 0%| | 23/11346 [00:30<3:26:41, 1.10s/it] 0%| | 24/11346 [00:31<3:27:02, 1.10s/it] 0%| | 25/11346 [00:32<3:26:30, 1.09s/it] 0%| | 26/11346 [00:34<3:25:41, 1.09s/it] 0%| | 27/11346 [00:35<3:27:42, 1.10s/it] 0%| | 28/11346 [00:36<3:28:12, 1.10s/it] 0%| | 29/11346 [00:37<3:26:53, 1.10s/it] 0%| | 30/11346 [00:38<3:26:47, 1.10s/it] 0%| | 31/11346 [00:39<3:25:43, 1.09s/it] 0%| | 32/11346 [00:40<3:24:42, 1.09s/it] 0%| | 33/11346 [00:41<3:25:53, 1.09s/it] 0%| | 34/11346 [00:42<3:26:21, 1.09s/it] 0%| | 35/11346 [00:43<3:26:46, 1.10s/it] 0%| | 36/11346 [00:45<3:27:15, 1.10s/it] 0%| | 37/11346 [00:46<3:24:51, 1.09s/it] 0%| | 38/11346 [00:47<3:25:39, 1.09s/it] 0%| | 39/11346 [00:48<3:26:02, 1.09s/it] 0%| | 40/11346 [00:49<3:24:40, 1.09s/it] 0%| | 41/11346 [00:50<3:24:00, 1.08s/it] 0%| | 42/11346 [00:51<3:22:37, 1.08s/it] 0%| | 43/11346 [00:52<3:24:15, 1.08s/it] 0%| | 44/11346 [00:53<3:22:09, 1.07s/it] 0%| | 45/11346 [00:54<3:21:54, 1.07s/it] 0%| | 46/11346 [00:55<3:22:25, 1.07s/it] 0%| | 47/11346 [00:56<3:23:00, 1.08s/it] 0%| | 48/11346 [00:57<3:23:04, 1.08s/it] 0%| | 49/11346 [00:59<3:22:33, 1.08s/it] 0%| | 50/11346 [01:00<3:22:54, 1.08s/it] 0%| | 51/11346 [01:01<3:22:36, 1.08s/it] 0%| | 52/11346 [01:02<3:21:30, 1.07s/it] 0%| | 53/11346 [01:03<3:21:54, 1.07s/it] 0%| | 54/11346 [01:04<3:21:21, 1.07s/it] 0%| | 55/11346 [01:05<3:21:56, 1.07s/it] 0%| | 56/11346 [01:06<3:21:58, 1.07s/it] 1%| | 57/11346 [01:07<3:20:58, 1.07s/it] 1%| | 58/11346 [01:08<3:20:29, 1.07s/it] 1%| | 59/11346 [01:09<3:21:10, 1.07s/it] 1%| | 60/11346 [01:10<3:22:05, 1.07s/it] 1%| | 61/11346 [01:11<3:21:49, 1.07s/it] 1%| | 62/11346 [01:12<3:20:33, 1.07s/it] 1%| | 63/11346 [01:13<3:19:36, 1.06s/it] 1%| | 64/11346 [01:15<3:19:46, 1.06s/it] 1%| | 65/11346 [01:16<3:20:30, 1.07s/it] 1%| | 66/11346 [01:17<3:20:05, 1.06s/it] 1%| | 67/11346 [01:18<3:20:01, 1.06s/it] 1%| | 68/11346 [01:19<3:20:42, 1.07s/it] 1%| | 69/11346 [01:20<3:20:09, 1.06s/it] 1%| | 70/11346 [01:21<3:19:33, 1.06s/it] 1%| | 71/11346 [01:22<3:18:23, 1.06s/it] 1%| | 72/11346 [01:23<3:18:23, 1.06s/it] 1%| | 73/11346 [01:24<3:17:36, 1.05s/it] 1%| | 74/11346 [01:25<3:16:59, 1.05s/it] 1%| | 75/11346 [01:26<3:18:05, 1.05s/it] 1%| | 76/11346 [01:27<3:17:11, 1.05s/it] 1%| | 77/11346 [01:28<3:17:25, 1.05s/it] 1%| | 78/11346 [01:29<3:17:00, 1.05s/it] 1%| | 79/11346 [01:30<3:19:20, 1.06s/it] 1%| | 80/11346 [01:31<3:18:16, 1.06s/it] 1%| | 81/11346 [01:33<3:18:32, 1.06s/it] 1%| | 82/11346 [01:34<3:18:39, 1.06s/it] 1%| | 83/11346 [01:35<3:17:58, 1.05s/it] 1%| | 84/11346 [01:36<3:17:02, 1.05s/it] 1%| | 85/11346 [01:37<3:17:33, 1.05s/it] 1%| | 86/11346 [01:38<3:19:34, 1.06s/it] 1%| | 87/11346 [01:39<3:18:27, 1.06s/it] 1%| | 88/11346 [01:40<3:18:37, 1.06s/it] 1%| | 89/11346 [01:41<3:16:47, 1.05s/it] 1%| | 90/11346 [01:42<3:16:05, 1.05s/it] 1%| | 91/11346 [01:43<3:15:21, 1.04s/it] 1%| | 92/11346 [01:44<3:16:09, 1.05s/it] 1%| | 93/11346 [01:45<3:17:32, 1.05s/it] 1%| | 94/11346 [01:46<3:17:06, 1.05s/it] 1%| | 95/11346 [01:47<3:17:21, 1.05s/it] 1%| | 96/11346 [01:48<3:17:15, 1.05s/it] 1%| | 97/11346 [01:49<3:17:35, 1.05s/it] 1%| | 98/11346 [01:50<3:17:16, 1.05s/it] 1%| | 99/11346 [01:51<3:16:25, 1.05s/it] 1%| | 100/11346 [01:52<3:15:19, 1.04s/it] 1%| | 101/11346 [01:54<3:15:26, 1.04s/it] 1%| | 102/11346 [01:55<3:16:10, 1.05s/it] 1%| | 103/11346 [01:56<3:15:56, 1.05s/it] 1%| | 104/11346 [01:57<3:16:40, 1.05s/it] 1%| | 105/11346 [01:58<3:16:24, 1.05s/it] 1%| | 106/11346 [01:59<3:16:43, 1.05s/it] 1%| | 107/11346 [02:00<3:16:30, 1.05s/it] 1%| | 108/11346 [02:01<3:15:56, 1.05s/it] 1%| | 109/11346 [02:02<3:14:57, 1.04s/it] 1%| | 110/11346 [02:03<3:15:01, 1.04s/it] 1%| | 111/11346 [02:04<3:14:56, 1.04s/it] 1%| | 112/11346 [02:05<3:14:25, 1.04s/it] 1%| | 113/11346 [02:06<3:14:16, 1.04s/it] 1%| | 114/11346 [02:07<3:14:53, 1.04s/it] 1%| | 115/11346 [02:08<3:14:24, 1.04s/it] 1%| | 116/11346 [02:09<3:14:38, 1.04s/it] 1%| | 117/11346 [02:10<3:16:17, 1.05s/it] 1%| | 118/11346 [02:11<3:16:28, 1.05s/it] 1%| | 119/11346 [02:12<3:16:14, 1.05s/it] 1%| | 120/11346 [02:13<3:14:56, 1.04s/it] 1%| | 121/11346 [02:14<3:14:56, 1.04s/it] 1%| | 122/11346 [02:15<3:15:02, 1.04s/it] 1%| | 123/11346 [02:16<3:14:54, 1.04s/it] 1%| | 124/11346 [02:18<3:14:22, 1.04s/it] 1%| | 125/11346 [02:19<3:14:09, 1.04s/it] 1%| | 126/11346 [02:20<3:14:18, 1.04s/it] 1%| | 127/11346 [02:21<3:14:33, 1.04s/it] 1%| | 128/11346 [02:22<3:15:26, 1.05s/it] 1%| | 129/11346 [02:23<3:14:46, 1.04s/it] 1%| | 130/11346 [02:24<3:15:26, 1.05s/it] 1%| | 131/11346 [02:25<3:15:10, 1.04s/it] 1%| | 132/11346 [02:26<3:15:01, 1.04s/it] 1%| | 133/11346 [02:27<3:14:14, 1.04s/it] 1%| | 134/11346 [02:28<3:13:52, 1.04s/it] 1%| | 135/11346 [02:29<3:14:34, 1.04s/it] 1%| | 136/11346 [02:30<3:13:41, 1.04s/it] 1%| | 137/11346 [02:31<3:11:38, 1.03s/it] 1%| | 138/11346 [02:32<3:11:34, 1.03s/it] 1%| | 139/11346 [02:33<3:10:34, 1.02s/it] 1%| | 140/11346 [02:34<3:11:30, 1.03s/it] 1%| | 141/11346 [02:35<3:11:44, 1.03s/it] 1%|▏ | 142/11346 [02:36<3:12:55, 1.03s/it] 1%|▏ | 143/11346 [02:37<3:12:08, 1.03s/it] 1%|▏ | 144/11346 [02:38<3:12:54, 1.03s/it] 1%|▏ | 145/11346 [02:39<3:12:54, 1.03s/it] 1%|▏ | 146/11346 [02:40<3:12:30, 1.03s/it] 1%|▏ | 147/11346 [02:41<3:13:07, 1.03s/it] 1%|▏ | 148/11346 [02:42<3:12:33, 1.03s/it] 1%|▏ | 149/11346 [02:43<3:11:16, 1.02s/it] 1%|▏ | 150/11346 [02:44<3:12:56, 1.03s/it] 1%|▏ | 151/11346 [02:45<3:13:09, 1.04s/it] 1%|▏ | 152/11346 [02:46<3:12:33, 1.03s/it] 1%|▏ | 153/11346 [02:48<3:13:02, 1.03s/it] 1%|▏ | 154/11346 [02:49<3:13:24, 1.04s/it] 1%|▏ | 155/11346 [02:50<3:12:19, 1.03s/it] 1%|▏ | 156/11346 [02:51<3:12:13, 1.03s/it] 1%|▏ | 157/11346 [02:52<3:13:18, 1.04s/it] 1%|▏ | 158/11346 [02:53<3:11:51, 1.03s/it] 1%|▏ | 159/11346 [02:54<3:12:20, 1.03s/it] 1%|▏ | 160/11346 [02:55<3:12:35, 1.03s/it] 1%|▏ | 161/11346 [02:56<3:12:13, 1.03s/it] 1%|▏ | 162/11346 [02:57<3:11:55, 1.03s/it] 1%|▏ | 163/11346 [02:58<3:11:13, 1.03s/it] 1%|▏ | 164/11346 [02:59<3:12:19, 1.03s/it] 1%|▏ | 165/11346 [03:00<3:12:29, 1.03s/it] 1%|▏ | 166/11346 [03:01<3:11:41, 1.03s/it] 1%|▏ | 167/11346 [03:02<3:11:25, 1.03s/it] 1%|▏ | 168/11346 [03:03<3:10:49, 1.02s/it] 1%|▏ | 169/11346 [03:04<3:11:30, 1.03s/it] 1%|▏ | 170/11346 [03:05<3:10:43, 1.02s/it] 2%|▏ | 171/11346 [03:06<3:10:51, 1.02s/it] 2%|▏ | 172/11346 [03:07<3:10:30, 1.02s/it] 2%|▏ | 173/11346 [03:08<3:10:06, 1.02s/it] 2%|▏ | 174/11346 [03:09<3:11:59, 1.03s/it] 2%|▏ | 175/11346 [03:10<3:11:07, 1.03s/it] 2%|▏ | 176/11346 [03:11<3:10:56, 1.03s/it] 2%|▏ | 177/11346 [03:12<3:11:26, 1.03s/it] 2%|▏ | 178/11346 [03:13<3:10:47, 1.03s/it] 2%|▏ | 179/11346 [03:14<3:10:29, 1.02s/it] 2%|▏ | 180/11346 [03:15<3:10:19, 1.02s/it] 2%|▏ | 181/11346 [03:16<3:10:06, 1.02s/it] 2%|▏ | 182/11346 [03:17<3:10:34, 1.02s/it] 2%|▏ | 183/11346 [03:18<3:10:32, 1.02s/it] 2%|▏ | 184/11346 [03:19<3:11:57, 1.03s/it] 2%|▏ | 185/11346 [03:20<3:11:11, 1.03s/it] 2%|▏ | 186/11346 [03:21<3:10:50, 1.03s/it] 2%|▏ | 187/11346 [03:22<3:11:32, 1.03s/it] 2%|▏ | 188/11346 [03:23<3:11:11, 1.03s/it] 2%|▏ | 189/11346 [03:24<3:10:51, 1.03s/it] 2%|▏ | 190/11346 [03:26<3:10:53, 1.03s/it] 2%|▏ | 191/11346 [03:27<3:09:35, 1.02s/it] 2%|▏ | 192/11346 [03:28<3:10:01, 1.02s/it] 2%|▏ | 193/11346 [03:29<3:10:31, 1.02s/it] 2%|▏ | 194/11346 [03:30<3:09:57, 1.02s/it] 2%|▏ | 195/11346 [03:31<3:09:30, 1.02s/it] 2%|▏ | 196/11346 [03:32<3:10:10, 1.02s/it] 2%|▏ | 197/11346 [03:33<3:10:00, 1.02s/it] 2%|▏ | 198/11346 [03:34<3:10:44, 1.03s/it] 2%|▏ | 199/11346 [03:35<3:10:27, 1.03s/it] 2%|▏ | 200/11346 [03:36<3:10:24, 1.02s/it] 2%|▏ | 201/11346 [03:37<3:09:46, 1.02s/it] 2%|▏ | 202/11346 [03:38<3:10:05, 1.02s/it] 2%|▏ | 203/11346 [03:39<3:09:29, 1.02s/it] 2%|▏ | 204/11346 [03:40<3:09:08, 1.02s/it] 2%|▏ | 205/11346 [03:41<3:09:52, 1.02s/it] 2%|▏ | 206/11346 [03:42<3:09:01, 1.02s/it] 2%|▏ | 207/11346 [03:43<3:09:24, 1.02s/it] 2%|▏ | 208/11346 [03:44<3:09:15, 1.02s/it] 2%|▏ | 209/11346 [03:45<3:08:50, 1.02s/it] 2%|▏ | 210/11346 [03:46<3:08:16, 1.01s/it] 2%|▏ | 211/11346 [03:47<3:07:33, 1.01s/it] 2%|▏ | 212/11346 [03:48<3:08:16, 1.01s/it] 2%|▏ | 213/11346 [03:49<3:07:41, 1.01s/it] 2%|▏ | 214/11346 [03:50<3:08:15, 1.01s/it] 2%|▏ | 215/11346 [03:51<3:08:13, 1.01s/it] 2%|▏ | 216/11346 [03:52<3:09:14, 1.02s/it] 2%|▏ | 217/11346 [03:53<3:08:45, 1.02s/it] 2%|▏ | 218/11346 [03:54<3:08:48, 1.02s/it] 2%|▏ | 219/11346 [03:55<3:08:27, 1.02s/it] 2%|▏ | 220/11346 [03:56<3:08:33, 1.02s/it] 2%|▏ | 221/11346 [03:57<3:08:30, 1.02s/it] 2%|▏ | 222/11346 [03:58<3:08:03, 1.01s/it] 2%|▏ | 223/11346 [03:59<3:07:54, 1.01s/it] 2%|▏ | 224/11346 [04:00<3:08:47, 1.02s/it] 2%|▏ | 225/11346 [04:01<3:07:41, 1.01s/it] 2%|▏ | 226/11346 [04:02<3:07:22, 1.01s/it] 2%|▏ | 227/11346 [04:03<3:08:25, 1.02s/it] 2%|▏ | 228/11346 [04:04<3:08:30, 1.02s/it] 2%|▏ | 229/11346 [04:05<3:08:03, 1.02s/it] 2%|▏ | 230/11346 [04:06<3:07:51, 1.01s/it] 2%|▏ | 231/11346 [04:07<3:07:35, 1.01s/it] 2%|▏ | 232/11346 [04:08<3:08:07, 1.02s/it] 2%|▏ | 233/11346 [04:09<3:08:39, 1.02s/it] 2%|▏ | 234/11346 [04:10<3:08:18, 1.02s/it] 2%|▏ | 235/11346 [04:11<3:08:21, 1.02s/it] 2%|▏ | 236/11346 [04:12<3:08:01, 1.02s/it] 2%|▏ | 237/11346 [04:13<3:07:57, 1.02s/it] 2%|▏ | 238/11346 [04:14<3:08:46, 1.02s/it] 2%|▏ | 239/11346 [04:15<3:08:43, 1.02s/it] 2%|▏ | 240/11346 [04:16<3:07:25, 1.01s/it] 2%|▏ | 241/11346 [04:17<3:08:33, 1.02s/it] 2%|▏ | 242/11346 [04:18<3:07:42, 1.01s/it] 2%|▏ | 243/11346 [04:19<3:08:04, 1.02s/it] 2%|▏ | 244/11346 [04:20<3:07:59, 1.02s/it] 2%|▏ | 245/11346 [04:21<3:07:30, 1.01s/it] 2%|▏ | 246/11346 [04:22<3:07:30, 1.01s/it] 2%|▏ | 247/11346 [04:23<3:07:21, 1.01s/it] 2%|▏ | 248/11346 [04:24<3:06:40, 1.01s/it] 2%|▏ | 249/11346 [04:25<3:06:22, 1.01s/it] 2%|▏ | 250/11346 [04:27<3:06:24, 1.01s/it] 2%|▏ | 251/11346 [04:28<3:06:58, 1.01s/it] 2%|▏ | 252/11346 [04:29<3:06:41, 1.01s/it] 2%|▏ | 253/11346 [04:30<3:07:07, 1.01s/it] 2%|▏ | 254/11346 [04:31<3:06:20, 1.01s/it] 2%|▏ | 255/11346 [04:32<3:05:58, 1.01s/it] 2%|▏ | 256/11346 [04:33<3:06:10, 1.01s/it] 2%|▏ | 257/11346 [04:34<3:05:56, 1.01s/it] 2%|▏ | 258/11346 [04:35<3:06:28, 1.01s/it] 2%|▏ | 259/11346 [04:36<3:06:54, 1.01s/it] 2%|▏ | 260/11346 [04:37<3:07:20, 1.01s/it] 2%|▏ | 261/11346 [04:38<3:07:57, 1.02s/it] 2%|▏ | 262/11346 [04:39<3:07:17, 1.01s/it] 2%|▏ | 263/11346 [04:40<3:06:52, 1.01s/it] 2%|▏ | 264/11346 [04:41<3:05:58, 1.01s/it] 2%|▏ | 265/11346 [04:42<3:06:27, 1.01s/it] 2%|▏ | 266/11346 [04:43<3:06:46, 1.01s/it] 2%|▏ | 267/11346 [04:44<3:07:00, 1.01s/it] 2%|▏ | 268/11346 [04:45<3:07:26, 1.02s/it] 2%|▏ | 269/11346 [04:46<3:07:13, 1.01s/it] 2%|▏ | 270/11346 [04:47<3:07:04, 1.01s/it] 2%|▏ | 271/11346 [04:48<3:07:16, 1.01s/it] 2%|▏ | 272/11346 [04:49<3:06:52, 1.01s/it] 2%|▏ | 273/11346 [04:50<3:07:09, 1.01s/it] 2%|▏ | 274/11346 [04:51<3:06:34, 1.01s/it] 2%|▏ | 275/11346 [04:52<3:06:09, 1.01s/it] 2%|▏ | 276/11346 [04:53<3:05:25, 1.00s/it] 2%|▏ | 277/11346 [04:54<3:05:46, 1.01s/it] 2%|▏ | 278/11346 [04:55<3:05:50, 1.01s/it] 2%|▏ | 279/11346 [04:56<3:05:36, 1.01s/it] 2%|▏ | 280/11346 [04:57<3:05:18, 1.00s/it] 2%|▏ | 281/11346 [04:58<3:04:40, 1.00s/it] 2%|▏ | 282/11346 [04:59<3:05:48, 1.01s/it] 2%|▏ | 283/11346 [05:00<3:05:42, 1.01s/it] 3%|▎ | 284/11346 [05:01<3:05:12, 1.00s/it] 3%|▎ | 285/11346 [05:02<3:05:29, 1.01s/it] 3%|▎ | 286/11346 [05:03<3:06:36, 1.01s/it] 3%|▎ | 287/11346 [05:04<3:06:30, 1.01s/it] 3%|▎ | 288/11346 [05:05<3:06:27, 1.01s/it] 3%|▎ | 289/11346 [05:06<3:06:13, 1.01s/it] 3%|▎ | 290/11346 [05:07<3:04:58, 1.00s/it] 3%|▎ | 291/11346 [05:08<3:05:08, 1.00s/it] 3%|▎ | 292/11346 [05:09<3:04:27, 1.00s/it] 3%|▎ | 293/11346 [05:10<3:04:26, 1.00s/it] 3%|▎ | 294/11346 [05:11<3:04:52, 1.00s/it] 3%|▎ | 295/11346 [05:12<3:04:14, 1.00s/it] 3%|▎ | 296/11346 [05:13<3:04:33, 1.00s/it] 3%|▎ | 297/11346 [05:14<3:05:38, 1.01s/it] 3%|▎ | 298/11346 [05:15<3:05:39, 1.01s/it] 3%|▎ | 299/11346 [05:16<3:04:57, 1.00s/it] 3%|▎ | 300/11346 [05:17<3:04:34, 1.00s/it] 3%|▎ | 301/11346 [05:18<3:04:22, 1.00s/it] 3%|▎ | 302/11346 [05:19<3:04:30, 1.00s/it] 3%|▎ | 303/11346 [05:20<3:05:08, 1.01s/it] 3%|▎ | 304/11346 [05:21<3:05:21, 1.01s/it] 3%|▎ | 305/11346 [05:22<3:04:33, 1.00s/it] 3%|▎ | 306/11346 [05:23<3:04:33, 1.00s/it] 3%|▎ | 307/11346 [05:24<3:04:40, 1.00s/it] 3%|▎ | 308/11346 [05:25<3:05:03, 1.01s/it] 3%|▎ | 309/11346 [05:26<3:05:08, 1.01s/it] 3%|▎ | 310/11346 [05:27<3:05:15, 1.01s/it] 3%|▎ | 311/11346 [05:28<3:05:27, 1.01s/it] 3%|▎ | 312/11346 [05:29<3:05:21, 1.01s/it] 3%|▎ | 313/11346 [05:30<3:05:00, 1.01s/it] 3%|▎ | 314/11346 [05:31<3:04:40, 1.00s/it] 3%|▎ | 315/11346 [05:32<3:04:36, 1.00s/it] 3%|▎ | 316/11346 [05:33<3:03:45, 1.00it/s] 3%|▎ | 317/11346 [05:34<3:03:21, 1.00it/s] 3%|▎ | 318/11346 [05:35<3:02:58, 1.00it/s] 3%|▎ | 319/11346 [05:36<3:03:31, 1.00it/s] 3%|▎ | 320/11346 [05:37<3:03:52, 1.00s/it] 3%|▎ | 321/11346 [05:38<3:03:55, 1.00s/it] 3%|▎ | 322/11346 [05:39<3:03:50, 1.00s/it] 3%|▎ | 323/11346 [05:40<3:04:09, 1.00s/it] 3%|▎ | 324/11346 [05:41<3:03:26, 1.00it/s] 3%|▎ | 325/11346 [05:42<3:03:36, 1.00it/s] 3%|▎ | 326/11346 [05:43<3:04:13, 1.00s/it] 3%|▎ | 327/11346 [05:44<3:04:15, 1.00s/it] 3%|▎ | 328/11346 [05:45<3:03:58, 1.00s/it] 3%|▎ | 329/11346 [05:46<3:03:50, 1.00s/it] 3%|▎ | 330/11346 [05:47<3:03:08, 1.00it/s] 3%|▎ | 331/11346 [05:48<3:03:29, 1.00it/s] 3%|▎ | 332/11346 [05:49<3:03:55, 1.00s/it] 3%|▎ | 333/11346 [05:50<3:03:23, 1.00it/s] 3%|▎ | 334/11346 [05:51<3:02:46, 1.00it/s] 3%|▎ | 335/11346 [05:52<3:02:43, 1.00it/s] 3%|▎ | 336/11346 [05:53<3:04:08, 1.00s/it] 3%|▎ | 337/11346 [05:54<3:04:36, 1.01s/it] 3%|▎ | 338/11346 [05:55<3:04:50, 1.01s/it] 3%|▎ | 339/11346 [05:56<3:04:43, 1.01s/it] 3%|▎ | 340/11346 [05:57<3:04:21, 1.01s/it] 3%|▎ | 341/11346 [05:58<3:03:52, 1.00s/it] 3%|▎ | 342/11346 [05:59<3:03:46, 1.00s/it] 3%|▎ | 343/11346 [06:00<3:03:20, 1.00it/s] 3%|▎ | 344/11346 [06:01<3:04:27, 1.01s/it] 3%|▎ | 345/11346 [06:02<3:05:03, 1.01s/it] 3%|▎ | 346/11346 [06:03<3:03:48, 1.00s/it] 3%|▎ | 347/11346 [06:04<3:04:19, 1.01s/it] 3%|▎ | 348/11346 [06:05<3:04:20, 1.01s/it] 3%|▎ | 349/11346 [06:06<3:03:45, 1.00s/it] 3%|▎ | 350/11346 [06:07<3:04:02, 1.00s/it] 3%|▎ | 351/11346 [06:08<3:03:40, 1.00s/it] 3%|▎ | 352/11346 [06:09<3:03:35, 1.00s/it] 3%|▎ | 353/11346 [06:10<3:03:36, 1.00s/it] 3%|▎ | 354/11346 [06:11<3:03:17, 1.00s/it] 3%|▎ | 355/11346 [06:12<3:03:56, 1.00s/it] 3%|▎ | 356/11346 [06:13<3:04:10, 1.01s/it] 3%|▎ | 357/11346 [06:14<3:04:15, 1.01s/it] 3%|▎ | 358/11346 [06:15<3:03:55, 1.00s/it] 3%|▎ | 359/11346 [06:16<3:04:09, 1.01s/it] 3%|▎ | 360/11346 [06:17<3:04:57, 1.01s/it] 3%|▎ | 361/11346 [06:18<3:03:51, 1.00s/it] 3%|▎ | 362/11346 [06:19<3:04:00, 1.01s/it] 3%|▎ | 363/11346 [06:20<3:04:05, 1.01s/it] 3%|▎ | 364/11346 [06:21<3:04:06, 1.01s/it] 3%|▎ | 365/11346 [06:22<3:03:19, 1.00s/it] 3%|▎ | 366/11346 [06:23<3:02:58, 1.00it/s] 3%|▎ | 367/11346 [06:24<3:02:46, 1.00it/s] 3%|▎ | 368/11346 [06:25<3:03:03, 1.00s/it] 3%|▎ | 369/11346 [06:26<3:02:41, 1.00it/s] 3%|▎ | 370/11346 [06:27<3:02:29, 1.00it/s] 3%|▎ | 371/11346 [06:28<3:03:17, 1.00s/it] 3%|▎ | 372/11346 [06:29<3:03:44, 1.00s/it] 3%|▎ | 373/11346 [06:30<3:03:13, 1.00s/it] 3%|▎ | 374/11346 [06:31<3:02:58, 1.00s/it] 3%|▎ | 375/11346 [06:32<3:02:59, 1.00s/it] 3%|▎ | 376/11346 [06:33<3:02:48, 1.00it/s] 3%|▎ | 377/11346 [06:34<3:02:50, 1.00s/it] 3%|▎ | 378/11346 [06:35<3:02:41, 1.00it/s] 3%|▎ | 379/11346 [06:36<3:03:24, 1.00s/it] 3%|▎ | 380/11346 [06:37<3:03:32, 1.00s/it] 3%|▎ | 381/11346 [06:38<3:02:19, 1.00it/s] 3%|▎ | 382/11346 [06:39<3:02:09, 1.00it/s] 3%|▎ | 383/11346 [06:40<3:01:18, 1.01it/s] 3%|▎ | 384/11346 [06:41<3:02:01, 1.00it/s] 3%|▎ | 385/11346 [06:42<3:02:42, 1.00s/it] 3%|▎ | 386/11346 [06:43<3:02:05, 1.00it/s] 3%|▎ | 387/11346 [06:44<3:02:06, 1.00it/s] 3%|▎ | 388/11346 [06:45<3:02:06, 1.00it/s] 3%|▎ | 389/11346 [06:46<3:02:01, 1.00it/s] 3%|▎ | 390/11346 [06:47<3:02:42, 1.00s/it] 3%|▎ | 391/11346 [06:48<3:05:23, 1.02s/it] 3%|▎ | 392/11346 [06:49<3:04:05, 1.01s/it] 3%|▎ | 393/11346 [06:50<3:03:20, 1.00s/it] 3%|▎ | 394/11346 [06:51<3:02:46, 1.00s/it] 3%|▎ | 395/11346 [06:52<3:02:36, 1.00s/it] 3%|▎ | 396/11346 [06:53<3:02:17, 1.00it/s] 3%|▎ | 397/11346 [06:54<3:02:09, 1.00it/s] 4%|▎ | 398/11346 [06:55<3:01:55, 1.00it/s] 4%|▎ | 399/11346 [06:56<3:02:15, 1.00it/s] 4%|▎ | 400/11346 [06:57<3:02:55, 1.00s/it] 4%|▎ | 401/11346 [06:58<3:03:05, 1.00s/it] 4%|▎ | 402/11346 [06:59<3:02:39, 1.00s/it] 4%|▎ | 403/11346 [07:00<3:02:46, 1.00s/it] 4%|▎ | 404/11346 [07:01<3:02:43, 1.00s/it] 4%|▎ | 405/11346 [07:02<3:02:38, 1.00s/it] 4%|▎ | 406/11346 [07:03<3:02:11, 1.00it/s] 4%|▎ | 407/11346 [07:04<3:01:53, 1.00it/s] 4%|▎ | 408/11346 [07:05<3:02:49, 1.00s/it] 4%|▎ | 409/11346 [07:06<3:02:37, 1.00s/it] 4%|▎ | 410/11346 [07:07<3:02:19, 1.00s/it] 4%|▎ | 411/11346 [07:08<3:02:13, 1.00it/s] 4%|▎ | 412/11346 [07:09<3:02:17, 1.00s/it] 4%|▎ | 413/11346 [07:10<3:01:27, 1.00it/s] 4%|▎ | 414/11346 [07:11<3:00:58, 1.01it/s] 4%|▎ | 415/11346 [07:12<3:01:10, 1.01it/s] 4%|▎ | 416/11346 [07:13<3:01:27, 1.00it/s] 4%|▎ | 417/11346 [07:14<3:02:10, 1.00s/it] 4%|▎ | 418/11346 [07:15<3:02:10, 1.00s/it] 4%|▎ | 419/11346 [07:16<3:02:42, 1.00s/it] 4%|▎ | 420/11346 [07:17<3:02:11, 1.00s/it] 4%|▎ | 421/11346 [07:18<3:01:54, 1.00it/s] 4%|▎ | 422/11346 [07:19<3:01:54, 1.00it/s] 4%|▎ | 423/11346 [07:20<3:01:41, 1.00it/s] 4%|▎ | 424/11346 [07:21<3:01:27, 1.00it/s] 4%|▎ | 425/11346 [07:22<3:00:56, 1.01it/s] 4%|▍ | 426/11346 [07:23<3:00:27, 1.01it/s] 4%|▍ | 427/11346 [07:24<3:01:02, 1.01it/s] 4%|▍ | 428/11346 [07:25<3:00:52, 1.01it/s] 4%|▍ | 429/11346 [07:26<3:00:42, 1.01it/s] 4%|▍ | 430/11346 [07:27<3:00:58, 1.01it/s] 4%|▍ | 431/11346 [07:28<3:01:13, 1.00it/s] 4%|▍ | 432/11346 [07:29<3:01:16, 1.00it/s] 4%|▍ | 433/11346 [07:30<3:01:07, 1.00it/s] 4%|▍ | 434/11346 [07:31<3:00:28, 1.01it/s] 4%|▍ | 435/11346 [07:32<3:00:52, 1.01it/s] 4%|▍ | 436/11346 [07:33<3:01:36, 1.00it/s] 4%|▍ | 437/11346 [07:34<3:01:15, 1.00it/s] 4%|▍ | 438/11346 [07:35<3:00:51, 1.01it/s] 4%|▍ | 439/11346 [07:36<3:01:08, 1.00it/s] 4%|▍ | 440/11346 [07:37<3:00:46, 1.01it/s] 4%|▍ | 441/11346 [07:38<3:00:51, 1.00it/s] 4%|▍ | 442/11346 [07:39<3:00:37, 1.01it/s] 4%|▍ | 443/11346 [07:40<3:00:26, 1.01it/s] 4%|▍ | 444/11346 [07:41<3:00:34, 1.01it/s] 4%|▍ | 445/11346 [07:42<3:00:34, 1.01it/s] 4%|▍ | 446/11346 [07:43<3:00:33, 1.01it/s] 4%|▍ | 447/11346 [07:44<3:00:29, 1.01it/s] 4%|▍ | 448/11346 [07:45<3:01:31, 1.00it/s] 4%|▍ | 449/11346 [07:46<3:01:45, 1.00s/it] 4%|▍ | 450/11346 [07:47<3:02:26, 1.00s/it] 4%|▍ | 451/11346 [07:48<3:01:48, 1.00s/it] 4%|▍ | 452/11346 [07:49<3:01:01, 1.00it/s] 4%|▍ | 453/11346 [07:50<3:00:50, 1.00it/s] 4%|▍ | 454/11346 [07:51<3:00:17, 1.01it/s] 4%|▍ | 455/11346 [07:52<3:00:06, 1.01it/s] 4%|▍ | 456/11346 [07:53<3:00:02, 1.01it/s] 4%|▍ | 457/11346 [07:54<3:00:36, 1.00it/s] 4%|▍ | 458/11346 [07:55<3:00:55, 1.00it/s] 4%|▍ | 459/11346 [07:56<3:01:11, 1.00it/s] 4%|▍ | 460/11346 [07:57<3:00:58, 1.00it/s] 4%|▍ | 461/11346 [07:58<3:00:57, 1.00it/s] 4%|▍ | 462/11346 [07:59<3:01:10, 1.00it/s] 4%|▍ | 463/11346 [08:00<3:01:39, 1.00s/it] 4%|▍ | 464/11346 [08:01<3:00:50, 1.00it/s] 4%|▍ | 465/11346 [08:02<3:00:33, 1.00it/s] 4%|▍ | 466/11346 [08:03<2:59:34, 1.01it/s] 4%|▍ | 467/11346 [08:04<2:59:57, 1.01it/s] 4%|▍ | 468/11346 [08:05<3:00:14, 1.01it/s] 4%|▍ | 469/11346 [08:06<2:59:54, 1.01it/s] 4%|▍ | 470/11346 [08:07<2:59:56, 1.01it/s] 4%|▍ | 471/11346 [08:08<3:00:08, 1.01it/s] 4%|▍ | 472/11346 [08:09<3:00:08, 1.01it/s] 4%|▍ | 473/11346 [08:10<3:00:26, 1.00it/s] 4%|▍ | 474/11346 [08:11<3:00:20, 1.00it/s] 4%|▍ | 475/11346 [08:12<2:59:30, 1.01it/s] 4%|▍ | 476/11346 [08:13<3:00:11, 1.01it/s] 4%|▍ | 477/11346 [08:14<3:00:06, 1.01it/s] 4%|▍ | 478/11346 [08:15<3:00:17, 1.00it/s] 4%|▍ | 479/11346 [08:16<3:00:11, 1.01it/s] 4%|▍ | 480/11346 [08:17<2:59:55, 1.01it/s] 4%|▍ | 481/11346 [08:18<2:59:48, 1.01it/s] 4%|▍ | 482/11346 [08:19<2:59:24, 1.01it/s] 4%|▍ | 483/11346 [08:20<3:00:00, 1.01it/s] 4%|▍ | 484/11346 [08:21<3:00:23, 1.00it/s] 4%|▍ | 485/11346 [08:22<3:01:35, 1.00s/it] 4%|▍ | 486/11346 [08:23<3:01:26, 1.00s/it] 4%|▍ | 487/11346 [08:24<3:00:58, 1.00it/s] 4%|▍ | 488/11346 [08:25<3:00:16, 1.00it/s] 4%|▍ | 489/11346 [08:26<3:00:10, 1.00it/s] 4%|▍ | 490/11346 [08:27<3:00:04, 1.00it/s] 4%|▍ | 491/11346 [08:28<2:59:41, 1.01it/s] 4%|▍ | 492/11346 [08:29<2:59:38, 1.01it/s] 4%|▍ | 493/11346 [08:30<2:59:25, 1.01it/s] 4%|▍ | 494/11346 [08:31<2:59:06, 1.01it/s] 4%|▍ | 495/11346 [08:32<2:58:52, 1.01it/s] 4%|▍ | 496/11346 [08:33<2:58:50, 1.01it/s] 4%|▍ | 497/11346 [08:34<2:58:25, 1.01it/s] 4%|▍ | 498/11346 [08:35<2:59:16, 1.01it/s] 4%|▍ | 499/11346 [08:36<2:59:24, 1.01it/s] 4%|▍ | 500/11346 [08:37<2:59:41, 1.01it/s] 4%|▍ | 500/11346 [08:37<2:59:41, 1.01it/s] 4%|▍ | 501/11346 [08:38<2:59:49, 1.01it/s] 4%|▍ | 502/11346 [08:39<2:59:30, 1.01it/s] 4%|▍ | 503/11346 [08:40<2:59:16, 1.01it/s] 4%|▍ | 504/11346 [08:41<2:59:30, 1.01it/s] 4%|▍ | 505/11346 [08:42<2:59:17, 1.01it/s] 4%|▍ | 506/11346 [08:43<2:59:41, 1.01it/s] 4%|▍ | 507/11346 [08:44<2:59:11, 1.01it/s] 4%|▍ | 508/11346 [08:45<2:59:07, 1.01it/s] 4%|▍ | 509/11346 [08:46<2:59:29, 1.01it/s] 4%|▍ | 510/11346 [08:47<2:59:34, 1.01it/s] 5%|▍ | 511/11346 [08:48<2:59:48, 1.00it/s] 5%|▍ | 512/11346 [08:49<2:59:46, 1.00it/s] 5%|▍ | 513/11346 [08:50<3:00:12, 1.00it/s] 5%|▍ | 514/11346 [08:51<2:59:29, 1.01it/s] 5%|▍ | 515/11346 [08:52<2:59:32, 1.01it/s] 5%|▍ | 516/11346 [08:53<2:58:56, 1.01it/s] 5%|▍ | 517/11346 [08:54<2:58:43, 1.01it/s] 5%|▍ | 518/11346 [08:55<2:58:55, 1.01it/s] 5%|▍ | 519/11346 [08:56<2:58:43, 1.01it/s] 5%|▍ | 520/11346 [08:57<2:58:44, 1.01it/s] 5%|▍ | 521/11346 [08:58<2:58:57, 1.01it/s] 5%|▍ | 522/11346 [08:59<2:58:47, 1.01it/s] 5%|▍ | 523/11346 [09:00<2:58:29, 1.01it/s] 5%|▍ | 524/11346 [09:01<2:58:43, 1.01it/s] 5%|▍ | 525/11346 [09:02<2:57:48, 1.01it/s] 5%|▍ | 526/11346 [09:03<2:58:05, 1.01it/s] 5%|▍ | 527/11346 [09:03<2:58:15, 1.01it/s] 5%|▍ | 528/11346 [09:04<2:58:39, 1.01it/s] 5%|▍ | 529/11346 [09:05<2:58:41, 1.01it/s] 5%|▍ | 530/11346 [09:06<2:59:35, 1.00it/s] 5%|▍ | 531/11346 [09:08<3:00:04, 1.00it/s] 5%|▍ | 532/11346 [09:08<2:59:00, 1.01it/s] 5%|▍ | 533/11346 [09:09<2:58:38, 1.01it/s] 5%|▍ | 534/11346 [09:10<2:58:20, 1.01it/s] 5%|▍ | 535/11346 [09:11<2:58:11, 1.01it/s] 5%|▍ | 536/11346 [09:12<2:58:07, 1.01it/s] 5%|▍ | 537/11346 [09:13<2:58:03, 1.01it/s] 5%|▍ | 538/11346 [09:14<2:57:58, 1.01it/s] 5%|▍ | 539/11346 [09:15<2:58:28, 1.01it/s] 5%|▍ | 540/11346 [09:16<2:58:15, 1.01it/s] 5%|▍ | 541/11346 [09:17<2:58:32, 1.01it/s] 5%|▍ | 542/11346 [09:18<2:57:31, 1.01it/s] 5%|▍ | 543/11346 [09:19<2:57:44, 1.01it/s] 5%|▍ | 544/11346 [09:20<2:58:18, 1.01it/s] 5%|▍ | 545/11346 [09:21<2:58:17, 1.01it/s] 5%|▍ | 546/11346 [09:22<2:57:16, 1.02it/s] 5%|▍ | 547/11346 [09:23<2:57:00, 1.02it/s] 5%|▍ | 548/11346 [09:24<2:57:49, 1.01it/s] 5%|▍ | 549/11346 [09:25<2:57:50, 1.01it/s] 5%|▍ | 550/11346 [09:26<2:58:11, 1.01it/s] 5%|▍ | 551/11346 [09:27<2:58:20, 1.01it/s] 5%|▍ | 552/11346 [09:28<2:57:56, 1.01it/s] 5%|▍ | 553/11346 [09:29<2:57:28, 1.01it/s] 5%|▍ | 554/11346 [09:30<2:57:49, 1.01it/s] 5%|▍ | 555/11346 [09:31<2:57:48, 1.01it/s] 5%|▍ | 556/11346 [09:32<2:57:38, 1.01it/s] 5%|▍ | 557/11346 [09:33<2:57:42, 1.01it/s] 5%|▍ | 558/11346 [09:34<2:57:46, 1.01it/s] 5%|▍ | 559/11346 [09:35<2:58:04, 1.01it/s] 5%|▍ | 560/11346 [09:36<2:58:04, 1.01it/s] 5%|▍ | 561/11346 [09:37<2:57:42, 1.01it/s] 5%|▍ | 562/11346 [09:38<2:58:16, 1.01it/s] 5%|▍ | 563/11346 [09:39<2:57:52, 1.01it/s] 5%|▍ | 564/11346 [09:40<2:57:54, 1.01it/s] 5%|▍ | 565/11346 [09:41<2:57:28, 1.01it/s] 5%|▍ | 566/11346 [09:42<2:57:05, 1.01it/s] 5%|▍ | 567/11346 [09:43<2:57:04, 1.01it/s] 5%|▌ | 568/11346 [09:44<2:56:39, 1.02it/s] 5%|▌ | 569/11346 [09:45<2:56:49, 1.02it/s] 5%|▌ | 570/11346 [09:46<2:57:08, 1.01it/s] 5%|▌ | 571/11346 [09:47<2:56:41, 1.02it/s] 5%|▌ | 572/11346 [09:48<2:56:49, 1.02it/s] 5%|▌ | 573/11346 [09:49<2:57:11, 1.01it/s] 5%|▌ | 574/11346 [09:50<2:57:13, 1.01it/s] 5%|▌ | 575/11346 [09:51<2:56:51, 1.02it/s] 5%|▌ | 576/11346 [09:52<2:56:14, 1.02it/s] 5%|▌ | 577/11346 [09:53<2:56:23, 1.02it/s] 5%|▌ | 578/11346 [09:54<2:57:22, 1.01it/s] 5%|▌ | 579/11346 [09:55<2:56:55, 1.01it/s] 5%|▌ | 580/11346 [09:56<2:57:23, 1.01it/s] 5%|▌ | 581/11346 [09:57<2:57:22, 1.01it/s] 5%|▌ | 582/11346 [09:58<2:57:38, 1.01it/s] 5%|▌ | 583/11346 [09:59<2:57:27, 1.01it/s] 5%|▌ | 584/11346 [10:00<2:57:34, 1.01it/s] 5%|▌ | 585/11346 [10:01<2:57:37, 1.01it/s] 5%|▌ | 586/11346 [10:02<2:57:28, 1.01it/s] 5%|▌ | 587/11346 [10:03<2:57:50, 1.01it/s] 5%|▌ | 588/11346 [10:04<2:57:34, 1.01it/s] 5%|▌ | 589/11346 [10:05<2:57:26, 1.01it/s] 5%|▌ | 590/11346 [10:06<2:57:08, 1.01it/s] 5%|▌ | 591/11346 [10:07<2:56:27, 1.02it/s] 5%|▌ | 592/11346 [10:08<2:56:06, 1.02it/s] 5%|▌ | 593/11346 [10:09<2:56:19, 1.02it/s] 5%|▌ | 594/11346 [10:10<2:56:49, 1.01it/s] 5%|▌ | 595/11346 [10:11<2:57:20, 1.01it/s] 5%|▌ | 596/11346 [10:12<2:57:20, 1.01it/s] 5%|▌ | 597/11346 [10:13<2:57:27, 1.01it/s] 5%|▌ | 598/11346 [10:14<2:57:29, 1.01it/s] 5%|▌ | 599/11346 [10:15<2:56:47, 1.01it/s] 5%|▌ | 600/11346 [10:16<2:56:08, 1.02it/s] 5%|▌ | 601/11346 [10:17<2:56:24, 1.02it/s] 5%|▌ | 602/11346 [10:18<2:56:46, 1.01it/s] 5%|▌ | 603/11346 [10:19<2:56:25, 1.01it/s] 5%|▌ | 604/11346 [10:20<2:55:55, 1.02it/s] 5%|▌ | 605/11346 [10:21<2:56:05, 1.02it/s] 5%|▌ | 606/11346 [10:22<2:56:19, 1.02it/s] 5%|▌ | 607/11346 [10:23<2:56:12, 1.02it/s] 5%|▌ | 608/11346 [10:24<2:57:02, 1.01it/s] 5%|▌ | 609/11346 [10:25<2:56:09, 1.02it/s] 5%|▌ | 610/11346 [10:26<2:56:33, 1.01it/s] 5%|▌ | 611/11346 [10:26<2:56:24, 1.01it/s] 5%|▌ | 612/11346 [10:27<2:56:45, 1.01it/s] 5%|▌ | 613/11346 [10:28<2:56:41, 1.01it/s] 5%|▌ | 614/11346 [10:29<2:56:31, 1.01it/s] 5%|▌ | 615/11346 [10:30<2:56:08, 1.02it/s] 5%|▌ | 616/11346 [10:31<2:56:08, 1.02it/s] 5%|▌ | 617/11346 [10:32<2:56:04, 1.02it/s] 5%|▌ | 618/11346 [10:33<2:55:45, 1.02it/s] 5%|▌ | 619/11346 [10:34<2:55:26, 1.02it/s] 5%|▌ | 620/11346 [10:35<2:55:00, 1.02it/s] 5%|▌ | 621/11346 [10:36<2:55:46, 1.02it/s] 5%|▌ | 622/11346 [10:37<2:56:22, 1.01it/s] 5%|▌ | 623/11346 [10:38<2:56:12, 1.01it/s] 5%|▌ | 624/11346 [10:39<2:56:14, 1.01it/s] 6%|▌ | 625/11346 [10:40<2:56:21, 1.01it/s] 6%|▌ | 626/11346 [10:41<2:56:31, 1.01it/s] 6%|▌ | 627/11346 [10:42<2:57:00, 1.01it/s] 6%|▌ | 628/11346 [10:43<2:56:38, 1.01it/s] 6%|▌ | 629/11346 [10:44<2:56:03, 1.01it/s] 6%|▌ | 630/11346 [10:45<2:55:56, 1.02it/s] 6%|▌ | 631/11346 [10:46<2:55:55, 1.02it/s] 6%|▌ | 632/11346 [10:47<2:55:27, 1.02it/s] 6%|▌ | 633/11346 [10:48<2:55:23, 1.02it/s] 6%|▌ | 634/11346 [10:49<2:55:15, 1.02it/s] 6%|▌ | 635/11346 [10:50<2:55:37, 1.02it/s] 6%|▌ | 636/11346 [10:51<2:56:05, 1.01it/s] 6%|▌ | 637/11346 [10:52<2:55:55, 1.01it/s] 6%|▌ | 638/11346 [10:53<2:55:58, 1.01it/s] 6%|▌ | 639/11346 [10:54<2:55:55, 1.01it/s] 6%|▌ | 640/11346 [10:55<2:55:42, 1.02it/s] 6%|▌ | 641/11346 [10:56<2:56:00, 1.01it/s] 6%|▌ | 642/11346 [10:57<2:55:44, 1.02it/s] 6%|▌ | 643/11346 [10:58<2:55:48, 1.01it/s] 6%|▌ | 644/11346 [10:59<2:56:00, 1.01it/s] 6%|▌ | 645/11346 [11:00<2:55:50, 1.01it/s] 6%|▌ | 646/11346 [11:01<2:56:00, 1.01it/s] 6%|▌ | 647/11346 [11:02<2:56:08, 1.01it/s] 6%|▌ | 648/11346 [11:03<2:55:40, 1.01it/s] 6%|▌ | 649/11346 [11:04<2:55:52, 1.01it/s] 6%|▌ | 650/11346 [11:05<2:55:44, 1.01it/s] 6%|▌ | 651/11346 [11:06<2:55:53, 1.01it/s] 6%|▌ | 652/11346 [11:07<2:55:58, 1.01it/s] 6%|▌ | 653/11346 [11:08<2:55:34, 1.02it/s] 6%|▌ | 654/11346 [11:09<2:55:41, 1.01it/s] 6%|▌ | 655/11346 [11:10<2:55:16, 1.02it/s] 6%|▌ | 656/11346 [11:11<2:55:12, 1.02it/s] 6%|▌ | 657/11346 [11:12<2:55:28, 1.02it/s] 6%|▌ | 658/11346 [11:13<2:55:44, 1.01it/s] 6%|▌ | 659/11346 [11:14<2:55:41, 1.01it/s] 6%|▌ | 660/11346 [11:15<2:55:15, 1.02it/s] 6%|▌ | 661/11346 [11:16<2:55:02, 1.02it/s] 6%|▌ | 662/11346 [11:17<2:55:07, 1.02it/s] 6%|▌ | 663/11346 [11:18<2:54:49, 1.02it/s] 6%|▌ | 664/11346 [11:19<2:54:31, 1.02it/s] 6%|▌ | 665/11346 [11:20<2:54:00, 1.02it/s] 6%|▌ | 666/11346 [11:21<2:54:29, 1.02it/s] 6%|▌ | 667/11346 [11:22<2:54:33, 1.02it/s] 6%|▌ | 668/11346 [11:23<2:54:59, 1.02it/s] 6%|▌ | 669/11346 [11:24<2:54:57, 1.02it/s] 6%|▌ | 670/11346 [11:25<2:55:09, 1.02it/s] 6%|▌ | 671/11346 [11:26<2:54:57, 1.02it/s] 6%|▌ | 672/11346 [11:27<2:54:59, 1.02it/s] 6%|▌ | 673/11346 [11:28<2:55:02, 1.02it/s] 6%|▌ | 674/11346 [11:29<2:55:18, 1.01it/s] 6%|▌ | 675/11346 [11:30<2:54:33, 1.02it/s] 6%|▌ | 676/11346 [11:30<2:53:53, 1.02it/s] 6%|▌ | 677/11346 [11:31<2:54:15, 1.02it/s] 6%|▌ | 678/11346 [11:32<2:54:23, 1.02it/s] 6%|▌ | 679/11346 [11:33<2:54:47, 1.02it/s] 6%|▌ | 680/11346 [11:34<2:54:43, 1.02it/s] 6%|▌ | 681/11346 [11:35<2:54:38, 1.02it/s] 6%|▌ | 682/11346 [11:36<2:55:20, 1.01it/s] 6%|▌ | 683/11346 [11:37<2:55:20, 1.01it/s] 6%|▌ | 684/11346 [11:38<2:55:14, 1.01it/s] 6%|▌ | 685/11346 [11:39<2:55:19, 1.01it/s] 6%|▌ | 686/11346 [11:40<2:55:24, 1.01it/s] 6%|▌ | 687/11346 [11:41<2:55:05, 1.01it/s] 6%|▌ | 688/11346 [11:42<2:54:23, 1.02it/s] 6%|▌ | 689/11346 [11:43<2:53:50, 1.02it/s] 6%|▌ | 690/11346 [11:44<2:53:38, 1.02it/s] 6%|▌ | 691/11346 [11:45<2:53:20, 1.02it/s] 6%|▌ | 692/11346 [11:46<2:53:16, 1.02it/s] 6%|▌ | 693/11346 [11:47<2:53:42, 1.02it/s] 6%|▌ | 694/11346 [11:48<2:53:27, 1.02it/s] 6%|▌ | 695/11346 [11:49<2:53:47, 1.02it/s] 6%|▌ | 696/11346 [11:50<2:54:06, 1.02it/s] 6%|▌ | 697/11346 [11:51<2:54:16, 1.02it/s] 6%|▌ | 698/11346 [11:52<2:54:05, 1.02it/s] 6%|▌ | 699/11346 [11:53<2:53:51, 1.02it/s] 6%|▌ | 700/11346 [11:54<2:53:59, 1.02it/s] 6%|▌ | 701/11346 [11:55<2:54:35, 1.02it/s] 6%|▌ | 702/11346 [11:56<2:55:00, 1.01it/s] 6%|▌ | 703/11346 [11:57<2:55:12, 1.01it/s] 6%|▌ | 704/11346 [11:58<2:55:42, 1.01it/s] 6%|▌ | 705/11346 [11:59<2:55:05, 1.01it/s] 6%|▌ | 706/11346 [12:00<2:54:40, 1.02it/s] 6%|▌ | 707/11346 [12:01<2:54:16, 1.02it/s] 6%|▌ | 708/11346 [12:02<2:53:39, 1.02it/s] 6%|▌ | 709/11346 [12:03<2:54:18, 1.02it/s] 6%|▋ | 710/11346 [12:04<2:54:14, 1.02it/s] 6%|▋ | 711/11346 [12:05<2:54:17, 1.02it/s] 6%|▋ | 712/11346 [12:06<2:54:32, 1.02it/s] 6%|▋ | 713/11346 [12:07<2:54:26, 1.02it/s] 6%|▋ | 714/11346 [12:08<2:54:14, 1.02it/s] 6%|▋ | 715/11346 [12:09<2:54:11, 1.02it/s] 6%|▋ | 716/11346 [12:10<2:54:21, 1.02it/s] 6%|▋ | 717/11346 [12:11<2:53:39, 1.02it/s] 6%|▋ | 718/11346 [12:12<2:53:37, 1.02it/s] 6%|▋ | 719/11346 [12:13<2:53:25, 1.02it/s] 6%|▋ | 720/11346 [12:14<2:53:29, 1.02it/s] 6%|▋ | 721/11346 [12:15<2:53:11, 1.02it/s] 6%|▋ | 722/11346 [12:16<2:53:17, 1.02it/s] 6%|▋ | 723/11346 [12:17<2:53:50, 1.02it/s] 6%|▋ | 724/11346 [12:18<2:53:39, 1.02it/s] 6%|▋ | 725/11346 [12:19<2:53:46, 1.02it/s] 6%|▋ | 726/11346 [12:20<2:53:45, 1.02it/s] 6%|▋ | 727/11346 [12:21<2:53:40, 1.02it/s] 6%|▋ | 728/11346 [12:22<2:53:28, 1.02it/s] 6%|▋ | 729/11346 [12:23<2:53:35, 1.02it/s] 6%|▋ | 730/11346 [12:24<2:53:25, 1.02it/s] 6%|▋ | 731/11346 [12:24<2:53:28, 1.02it/s] 6%|▋ | 732/11346 [12:25<2:53:30, 1.02it/s] 6%|▋ | 733/11346 [12:26<2:53:17, 1.02it/s] 6%|▋ | 734/11346 [12:27<2:53:31, 1.02it/s] 6%|▋ | 735/11346 [12:28<2:53:29, 1.02it/s] 6%|▋ | 736/11346 [12:29<2:53:33, 1.02it/s] 6%|▋ | 737/11346 [12:30<2:53:27, 1.02it/s] 7%|▋ | 738/11346 [12:31<2:53:26, 1.02it/s] 7%|▋ | 739/11346 [12:32<2:54:16, 1.01it/s] 7%|▋ | 740/11346 [12:33<2:54:14, 1.01it/s] 7%|▋ | 741/11346 [12:34<2:54:20, 1.01it/s] 7%|▋ | 742/11346 [12:35<2:54:00, 1.02it/s] 7%|▋ | 743/11346 [12:36<2:53:34, 1.02it/s] 7%|▋ | 744/11346 [12:37<2:53:03, 1.02it/s] 7%|▋ | 745/11346 [12:38<2:52:56, 1.02it/s] 7%|▋ | 746/11346 [12:39<2:52:45, 1.02it/s] 7%|▋ | 747/11346 [12:40<2:53:03, 1.02it/s] 7%|▋ | 748/11346 [12:41<3:04:39, 1.05s/it] 7%|▋ | 749/11346 [12:42<3:01:23, 1.03s/it] 7%|▋ | 750/11346 [12:43<2:59:07, 1.01s/it] 7%|▋ | 751/11346 [12:44<2:57:37, 1.01s/it] 7%|▋ | 752/11346 [12:45<2:56:26, 1.00it/s] 7%|▋ | 753/11346 [12:46<2:55:29, 1.01it/s] 7%|▋ | 754/11346 [12:47<2:55:13, 1.01it/s] 7%|▋ | 755/11346 [12:48<2:54:38, 1.01it/s] 7%|▋ | 756/11346 [12:49<2:54:14, 1.01it/s] 7%|▋ | 757/11346 [12:50<2:53:52, 1.02it/s] 7%|▋ | 758/11346 [12:51<2:53:39, 1.02it/s] 7%|▋ | 759/11346 [12:52<2:53:35, 1.02it/s] 7%|▋ | 760/11346 [12:53<2:53:40, 1.02it/s] 7%|▋ | 761/11346 [12:54<2:53:16, 1.02it/s] 7%|▋ | 762/11346 [12:55<2:53:33, 1.02it/s] 7%|▋ | 763/11346 [12:56<2:53:33, 1.02it/s] 7%|▋ | 764/11346 [12:57<2:53:21, 1.02it/s] 7%|▋ | 765/11346 [12:58<2:53:07, 1.02it/s] 7%|▋ | 766/11346 [12:59<2:53:13, 1.02it/s] 7%|▋ | 767/11346 [13:00<2:52:52, 1.02it/s] 7%|▋ | 768/11346 [13:01<2:52:34, 1.02it/s] 7%|▋ | 769/11346 [13:02<2:52:41, 1.02it/s] 7%|▋ | 770/11346 [13:03<2:52:02, 1.02it/s] 7%|▋ | 771/11346 [13:04<2:52:29, 1.02it/s] 7%|▋ | 772/11346 [13:05<2:52:43, 1.02it/s] 7%|▋ | 773/11346 [13:06<2:52:41, 1.02it/s] 7%|▋ | 774/11346 [13:07<2:52:57, 1.02it/s] 7%|▋ | 775/11346 [13:08<2:52:37, 1.02it/s] 7%|▋ | 776/11346 [13:09<2:52:49, 1.02it/s] 7%|▋ | 777/11346 [13:10<2:53:03, 1.02it/s] 7%|▋ | 778/11346 [13:11<2:52:56, 1.02it/s] 7%|▋ | 779/11346 [13:12<2:52:33, 1.02it/s] 7%|▋ | 780/11346 [13:13<2:53:11, 1.02it/s] 7%|▋ | 781/11346 [13:14<2:52:57, 1.02it/s] 7%|▋ | 782/11346 [13:15<2:52:55, 1.02it/s] 7%|▋ | 783/11346 [13:16<2:52:12, 1.02it/s] 7%|▋ | 784/11346 [13:17<2:51:38, 1.03it/s] 7%|▋ | 785/11346 [13:18<2:51:22, 1.03it/s] 7%|▋ | 786/11346 [13:19<2:51:20, 1.03it/s] 7%|▋ | 787/11346 [13:20<2:51:16, 1.03it/s] 7%|▋ | 788/11346 [13:21<2:51:14, 1.03it/s] 7%|▋ | 789/11346 [13:22<2:51:29, 1.03it/s] 7%|▋ | 790/11346 [13:23<2:51:38, 1.02it/s] 7%|▋ | 791/11346 [13:24<2:52:11, 1.02it/s] 7%|▋ | 792/11346 [13:25<2:52:16, 1.02it/s] 7%|▋ | 793/11346 [13:26<2:52:10, 1.02it/s] 7%|▋ | 794/11346 [13:26<2:52:12, 1.02it/s] 7%|▋ | 795/11346 [13:27<2:52:00, 1.02it/s] 7%|▋ | 796/11346 [13:28<2:51:38, 1.02it/s] 7%|▋ | 797/11346 [13:29<2:52:08, 1.02it/s] 7%|▋ | 798/11346 [13:30<2:51:55, 1.02it/s] 7%|▋ | 799/11346 [13:31<2:52:21, 1.02it/s] 7%|▋ | 800/11346 [13:32<2:51:53, 1.02it/s] 7%|▋ | 801/11346 [13:33<2:51:30, 1.02it/s] 7%|▋ | 802/11346 [13:34<2:51:43, 1.02it/s] 7%|▋ | 803/11346 [13:35<2:51:50, 1.02it/s] 7%|▋ | 804/11346 [13:36<2:52:02, 1.02it/s] 7%|▋ | 805/11346 [13:37<2:52:04, 1.02it/s] 7%|▋ | 806/11346 [13:38<2:52:16, 1.02it/s] 7%|▋ | 807/11346 [13:39<2:52:39, 1.02it/s] 7%|▋ | 808/11346 [13:40<2:52:17, 1.02it/s] 7%|▋ | 809/11346 [13:41<2:52:07, 1.02it/s] 7%|▋ | 810/11346 [13:42<2:51:51, 1.02it/s] 7%|▋ | 811/11346 [13:43<2:51:55, 1.02it/s] 7%|▋ | 812/11346 [13:44<2:52:08, 1.02it/s] 7%|▋ | 813/11346 [13:45<2:52:16, 1.02it/s] 7%|▋ | 814/11346 [13:46<2:52:24, 1.02it/s] 7%|▋ | 815/11346 [13:47<2:52:06, 1.02it/s] 7%|▋ | 816/11346 [13:48<2:52:02, 1.02it/s] 7%|▋ | 817/11346 [13:49<2:51:33, 1.02it/s] 7%|▋ | 818/11346 [13:50<2:51:12, 1.02it/s] 7%|▋ | 819/11346 [13:51<2:51:01, 1.03it/s] 7%|▋ | 820/11346 [13:52<2:51:12, 1.02it/s] 7%|▋ | 821/11346 [13:53<2:51:15, 1.02it/s] 7%|▋ | 822/11346 [13:54<2:50:46, 1.03it/s] 7%|▋ | 823/11346 [13:55<2:50:50, 1.03it/s] 7%|▋ | 824/11346 [13:56<2:50:54, 1.03it/s] 7%|▋ | 825/11346 [13:57<2:50:54, 1.03it/s] 7%|▋ | 826/11346 [13:58<2:50:43, 1.03it/s] 7%|▋ | 827/11346 [13:59<2:50:27, 1.03it/s] 7%|▋ | 828/11346 [14:00<2:50:25, 1.03it/s] 7%|▋ | 829/11346 [14:01<2:50:12, 1.03it/s] 7%|▋ | 830/11346 [14:02<2:50:44, 1.03it/s] 7%|▋ | 831/11346 [14:03<2:50:53, 1.03it/s] 7%|▋ | 832/11346 [14:04<2:51:02, 1.02it/s] 7%|▋ | 833/11346 [14:05<2:51:30, 1.02it/s] 7%|▋ | 834/11346 [14:06<2:52:00, 1.02it/s] 7%|▋ | 835/11346 [14:07<2:51:34, 1.02it/s] 7%|▋ | 836/11346 [14:08<2:51:33, 1.02it/s] 7%|▋ | 837/11346 [14:09<2:51:06, 1.02it/s] 7%|▋ | 838/11346 [14:09<2:50:49, 1.03it/s] 7%|▋ | 839/11346 [14:10<2:50:21, 1.03it/s] 7%|▋ | 840/11346 [14:11<2:50:25, 1.03it/s] 7%|▋ | 841/11346 [14:12<2:50:32, 1.03it/s] 7%|▋ | 842/11346 [14:13<2:50:28, 1.03it/s] 7%|▋ | 843/11346 [14:14<2:50:03, 1.03it/s] 7%|▋ | 844/11346 [14:15<2:50:05, 1.03it/s] 7%|▋ | 845/11346 [14:16<2:50:19, 1.03it/s] 7%|▋ | 846/11346 [14:17<2:50:20, 1.03it/s] 7%|▋ | 847/11346 [14:18<2:50:15, 1.03it/s] 7%|▋ | 848/11346 [14:19<2:50:11, 1.03it/s] 7%|▋ | 849/11346 [14:20<2:50:13, 1.03it/s] 7%|▋ | 850/11346 [14:21<2:50:39, 1.03it/s] 8%|▊ | 851/11346 [14:22<2:50:46, 1.02it/s] 8%|▊ | 852/11346 [14:23<2:51:04, 1.02it/s] 8%|▊ | 853/11346 [14:24<2:51:15, 1.02it/s] 8%|▊ | 854/11346 [14:25<2:51:35, 1.02it/s] 8%|▊ | 855/11346 [14:26<2:51:30, 1.02it/s] 8%|▊ | 856/11346 [14:27<2:51:19, 1.02it/s] 8%|▊ | 857/11346 [14:28<2:51:02, 1.02it/s] 8%|▊ | 858/11346 [14:29<2:50:48, 1.02it/s] 8%|▊ | 859/11346 [14:30<2:51:02, 1.02it/s] 8%|▊ | 860/11346 [14:31<2:51:00, 1.02it/s] 8%|▊ | 861/11346 [14:32<2:50:58, 1.02it/s] 8%|▊ | 862/11346 [14:33<2:51:02, 1.02it/s] 8%|▊ | 863/11346 [14:34<2:51:01, 1.02it/s] 8%|▊ | 864/11346 [14:35<2:51:11, 1.02it/s] 8%|▊ | 865/11346 [14:36<2:50:57, 1.02it/s] 8%|▊ | 866/11346 [14:37<2:51:02, 1.02it/s] 8%|▊ | 867/11346 [14:38<2:51:18, 1.02it/s] 8%|▊ | 868/11346 [14:39<2:51:17, 1.02it/s] 8%|▊ | 869/11346 [14:40<2:51:17, 1.02it/s] 8%|▊ | 870/11346 [14:41<2:50:51, 1.02it/s] 8%|▊ | 871/11346 [14:42<2:50:51, 1.02it/s] 8%|▊ | 872/11346 [14:43<2:50:40, 1.02it/s] 8%|▊ | 873/11346 [14:44<2:50:42, 1.02it/s] 8%|▊ | 874/11346 [14:45<2:50:42, 1.02it/s] 8%|▊ | 875/11346 [14:46<2:50:52, 1.02it/s] 8%|▊ | 876/11346 [14:47<2:50:47, 1.02it/s] 8%|▊ | 877/11346 [14:48<2:50:44, 1.02it/s] 8%|▊ | 878/11346 [14:49<2:50:33, 1.02it/s] 8%|▊ | 879/11346 [14:50<2:50:48, 1.02it/s] 8%|▊ | 880/11346 [14:51<2:50:33, 1.02it/s] 8%|▊ | 881/11346 [14:52<2:50:31, 1.02it/s] 8%|▊ | 882/11346 [14:52<2:50:25, 1.02it/s] 8%|▊ | 883/11346 [14:53<2:50:38, 1.02it/s] 8%|▊ | 884/11346 [14:54<2:50:19, 1.02it/s] 8%|▊ | 885/11346 [14:55<2:50:22, 1.02it/s] 8%|▊ | 886/11346 [14:56<2:50:21, 1.02it/s] 8%|▊ | 887/11346 [14:57<2:50:02, 1.03it/s] 8%|▊ | 888/11346 [14:58<2:50:16, 1.02it/s] 8%|▊ | 889/11346 [14:59<2:50:29, 1.02it/s] 8%|▊ | 890/11346 [15:00<2:50:28, 1.02it/s] 8%|▊ | 891/11346 [15:01<2:50:38, 1.02it/s] 8%|▊ | 892/11346 [15:02<2:50:55, 1.02it/s] 8%|▊ | 893/11346 [15:03<2:50:56, 1.02it/s] 8%|▊ | 894/11346 [15:04<2:51:04, 1.02it/s] 8%|▊ | 895/11346 [15:05<2:50:45, 1.02it/s] 8%|▊ | 896/11346 [15:06<2:50:32, 1.02it/s] 8%|▊ | 897/11346 [15:07<2:50:26, 1.02it/s] 8%|▊ | 898/11346 [15:08<2:50:06, 1.02it/s] 8%|▊ | 899/11346 [15:09<2:50:14, 1.02it/s] 8%|▊ | 900/11346 [15:10<2:50:18, 1.02it/s] 8%|▊ | 901/11346 [15:11<2:50:18, 1.02it/s] 8%|▊ | 902/11346 [15:12<2:50:21, 1.02it/s] 8%|▊ | 903/11346 [15:13<2:50:17, 1.02it/s] 8%|▊ | 904/11346 [15:14<2:49:59, 1.02it/s] 8%|▊ | 905/11346 [15:15<2:49:54, 1.02it/s] 8%|▊ | 906/11346 [15:16<2:50:26, 1.02it/s] 8%|▊ | 907/11346 [15:17<2:50:25, 1.02it/s] 8%|▊ | 908/11346 [15:18<2:50:25, 1.02it/s] 8%|▊ | 909/11346 [15:19<2:50:24, 1.02it/s] 8%|▊ | 910/11346 [15:20<2:50:31, 1.02it/s] 8%|▊ | 911/11346 [15:21<2:50:38, 1.02it/s] 8%|▊ | 912/11346 [15:22<2:50:29, 1.02it/s] 8%|▊ | 913/11346 [15:23<2:50:31, 1.02it/s] 8%|▊ | 914/11346 [15:24<2:50:29, 1.02it/s] 8%|▊ | 915/11346 [15:25<2:50:23, 1.02it/s] 8%|▊ | 916/11346 [15:26<2:50:34, 1.02it/s] 8%|▊ | 917/11346 [15:27<2:50:20, 1.02it/s] 8%|▊ | 918/11346 [15:28<2:49:57, 1.02it/s] 8%|▊ | 919/11346 [15:29<2:49:37, 1.02it/s] 8%|▊ | 920/11346 [15:30<2:49:36, 1.02it/s] 8%|▊ | 921/11346 [15:31<2:49:39, 1.02it/s] 8%|▊ | 922/11346 [15:32<2:49:57, 1.02it/s] 8%|▊ | 923/11346 [15:33<2:49:53, 1.02it/s] 8%|▊ | 924/11346 [15:34<2:49:37, 1.02it/s] 8%|▊ | 925/11346 [15:35<2:49:26, 1.03it/s] 8%|▊ | 926/11346 [15:36<2:49:19, 1.03it/s] 8%|▊ | 927/11346 [15:37<2:49:28, 1.02it/s] 8%|▊ | 928/11346 [15:37<2:49:21, 1.03it/s] 8%|▊ | 929/11346 [15:38<2:49:18, 1.03it/s] 8%|▊ | 930/11346 [15:39<2:49:25, 1.02it/s] 8%|▊ | 931/11346 [15:40<2:49:26, 1.02it/s] 8%|▊ | 932/11346 [15:41<2:49:37, 1.02it/s] 8%|▊ | 933/11346 [15:42<2:49:43, 1.02it/s] 8%|▊ | 934/11346 [15:43<2:49:27, 1.02it/s] 8%|▊ | 935/11346 [15:44<2:48:50, 1.03it/s] 8%|▊ | 936/11346 [15:45<2:49:00, 1.03it/s] 8%|▊ | 937/11346 [15:46<2:48:27, 1.03it/s] 8%|▊ | 938/11346 [15:47<2:48:47, 1.03it/s] 8%|▊ | 939/11346 [15:48<2:48:35, 1.03it/s] 8%|▊ | 940/11346 [15:49<2:48:56, 1.03it/s] 8%|▊ | 941/11346 [15:50<2:49:14, 1.02it/s] 8%|▊ | 942/11346 [15:51<2:49:13, 1.02it/s] 8%|▊ | 943/11346 [15:52<2:49:30, 1.02it/s] 8%|▊ | 944/11346 [15:53<2:49:39, 1.02it/s] 8%|▊ | 945/11346 [15:54<2:49:30, 1.02it/s] 8%|▊ | 946/11346 [15:55<2:49:44, 1.02it/s] 8%|▊ | 947/11346 [15:56<2:49:40, 1.02it/s] 8%|▊ | 948/11346 [15:57<2:49:20, 1.02it/s] 8%|▊ | 949/11346 [15:58<2:48:52, 1.03it/s] 8%|▊ | 950/11346 [15:59<2:48:48, 1.03it/s] 8%|▊ | 951/11346 [16:00<2:48:46, 1.03it/s] 8%|▊ | 952/11346 [16:01<2:48:25, 1.03it/s] 8%|▊ | 953/11346 [16:02<2:48:19, 1.03it/s] 8%|▊ | 954/11346 [16:03<2:48:26, 1.03it/s] 8%|▊ | 955/11346 [16:04<2:48:24, 1.03it/s] 8%|▊ | 956/11346 [16:05<2:48:37, 1.03it/s] 8%|▊ | 957/11346 [16:06<2:48:58, 1.02it/s] 8%|▊ | 958/11346 [16:07<2:49:07, 1.02it/s] 8%|▊ | 959/11346 [16:08<2:49:02, 1.02it/s] 8%|▊ | 960/11346 [16:09<2:49:01, 1.02it/s] 8%|▊ | 961/11346 [16:10<2:49:17, 1.02it/s] 8%|▊ | 962/11346 [16:11<2:49:08, 1.02it/s] 8%|▊ | 963/11346 [16:12<2:48:44, 1.03it/s] 8%|▊ | 964/11346 [16:13<2:48:30, 1.03it/s] 9%|▊ | 965/11346 [16:14<2:48:26, 1.03it/s] 9%|▊ | 966/11346 [16:15<2:48:36, 1.03it/s] 9%|▊ | 967/11346 [16:16<2:48:50, 1.02it/s] 9%|▊ | 968/11346 [16:17<2:49:11, 1.02it/s] 9%|▊ | 969/11346 [16:17<2:49:16, 1.02it/s] 9%|▊ | 970/11346 [16:18<2:49:05, 1.02it/s] 9%|▊ | 971/11346 [16:19<2:49:11, 1.02it/s] 9%|▊ | 972/11346 [16:20<2:49:18, 1.02it/s] 9%|▊ | 973/11346 [16:21<2:49:15, 1.02it/s] 9%|▊ | 974/11346 [16:22<2:49:12, 1.02it/s] 9%|▊ | 975/11346 [16:23<2:49:04, 1.02it/s] 9%|▊ | 976/11346 [16:24<2:49:03, 1.02it/s] 9%|▊ | 977/11346 [16:25<2:48:51, 1.02it/s] 9%|▊ | 978/11346 [16:26<2:48:39, 1.02it/s] 9%|▊ | 979/11346 [16:27<2:48:45, 1.02it/s] 9%|▊ | 980/11346 [16:28<2:48:57, 1.02it/s] 9%|▊ | 981/11346 [16:29<2:48:45, 1.02it/s] 9%|▊ | 982/11346 [16:30<2:48:46, 1.02it/s] 9%|▊ | 983/11346 [16:31<2:48:38, 1.02it/s] 9%|▊ | 984/11346 [16:32<2:48:39, 1.02it/s] 9%|▊ | 985/11346 [16:33<2:48:39, 1.02it/s] 9%|▊ | 986/11346 [16:34<2:48:42, 1.02it/s] 9%|▊ | 987/11346 [16:35<2:48:43, 1.02it/s] 9%|▊ | 988/11346 [16:36<2:48:48, 1.02it/s] 9%|▊ | 989/11346 [16:37<2:48:48, 1.02it/s] 9%|▊ | 990/11346 [16:38<2:48:19, 1.03it/s] 9%|▊ | 991/11346 [16:39<2:47:55, 1.03it/s] 9%|▊ | 992/11346 [16:40<2:47:54, 1.03it/s] 9%|▉ | 993/11346 [16:41<2:48:04, 1.03it/s] 9%|▉ | 994/11346 [16:42<2:47:53, 1.03it/s] 9%|▉ | 995/11346 [16:43<2:47:47, 1.03it/s] 9%|▉ | 996/11346 [16:44<2:47:46, 1.03it/s] 9%|▉ | 997/11346 [16:45<2:47:30, 1.03it/s] 9%|▉ | 998/11346 [16:46<2:47:32, 1.03it/s] 9%|▉ | 999/11346 [16:47<2:47:25, 1.03it/s] 9%|▉ | 1000/11346 [16:48<2:47:51, 1.03it/s] 9%|▉ | 1000/11346 [16:48<2:47:51, 1.03it/s][INFO|trainer.py:3662] 2024-06-05 00:59:54,007 >> ***** Running Evaluation *****
[INFO|trainer.py:3664] 2024-06-05 00:59:54,007 >> Num examples = 1840
[INFO|trainer.py:3667] 2024-06-05 00:59:54,007 >> Batch size = 48
{'loss': 5.1118, 'grad_norm': 0.8546391725540161, 'learning_rate': 8.816009873931059e-05, 'epoch': 0.13}
{'loss': 3.406, 'grad_norm': 0.8593688607215881, 'learning_rate': 9.59831475011252e-05, 'epoch': 0.26}
0%| | 0/39 [00:00<?, ?it/s]
5%|▌ | 2/39 [00:01<00:27, 1.34it/s]
8%|▊ | 3/39 [00:02<00:38, 1.06s/it]
10%|█ | 4/39 [00:04<00:42, 1.22s/it]
13%|█▎ | 5/39 [00:05<00:44, 1.31s/it]
15%|█▌ | 6/39 [00:07<00:45, 1.37s/it]
18%|█▊ | 7/39 [00:08<00:45, 1.41s/it]
21%|██ | 8/39 [00:10<00:44, 1.43s/it]
23%|██▎ | 9/39 [00:11<00:43, 1.45s/it]
26%|██▌ | 10/39 [00:13<00:42, 1.46s/it]
28%|██▊ | 11/39 [00:14<00:41, 1.47s/it]
31%|███ | 12/39 [00:16<00:39, 1.48s/it]
33%|███▎ | 13/39 [00:17<00:38, 1.48s/it]
36%|███▌ | 14/39 [00:19<00:37, 1.48s/it]
38%|███▊ | 15/39 [00:20<00:35, 1.48s/it]
41%|████ | 16/39 [00:22<00:34, 1.49s/it]
44%|████▎ | 17/39 [00:23<00:32, 1.49s/it]
46%|████▌ | 18/39 [00:25<00:31, 1.49s/it]
49%|████▊ | 19/39 [00:26<00:29, 1.49s/it]
51%|█████▏ | 20/39 [00:28<00:28, 1.49s/it]
54%|█████▍ | 21/39 [00:29<00:26, 1.49s/it]
56%|█████▋ | 22/39 [00:31<00:25, 1.49s/it]
59%|█████▉ | 23/39 [00:32<00:23, 1.49s/it]
62%|██████▏ | 24/39 [00:34<00:22, 1.49s/it]
64%|██████▍ | 25/39 [00:35<00:20, 1.49s/it]
67%|██████▋ | 26/39 [00:37<00:19, 1.49s/it]
69%|██████▉ | 27/39 [00:38<00:17, 1.49s/it]
72%|███████▏ | 28/39 [00:40<00:16, 1.49s/it]
74%|███████▍ | 29/39 [00:41<00:14, 1.49s/it]
77%|███████▋ | 30/39 [00:43<00:13, 1.49s/it]
79%|███████▉ | 31/39 [00:44<00:11, 1.49s/it]
82%|████████▏ | 32/39 [00:46<00:10, 1.49s/it]
85%|████████▍ | 33/39 [00:47<00:08, 1.49s/it]
87%|████████▋ | 34/39 [00:49<00:07, 1.49s/it]
90%|████████▉ | 35/39 [00:50<00:05, 1.49s/it]
92%|█████████▏| 36/39 [00:52<00:04, 1.49s/it]
95%|█████████▍| 37/39 [00:53<00:02, 1.49s/it]
97%|█████████▋| 38/39 [00:54<00:01, 1.46s/it]
100%|██████████| 39/39 [00:55<00:00, 1.16s/it]
 9%|▉ | 1000/11346 [18:02<2:47:51, 1.03it/s]
100%|██████████| 39/39 [01:11<00:00, 1.16s/it]
[INFO|trainer.py:3353] 2024-06-05 01:01:07,874 >> Saving model checkpoint to ./training_outputs_job_117535_1_05-06_00-42/checkpoint-1000
[INFO|configuration_utils.py:471] 2024-06-05 01:01:07,888 >> Configuration saved in ./training_outputs_job_117535_1_05-06_00-42/checkpoint-1000/config.json
[INFO|configuration_utils.py:705] 2024-06-05 01:01:07,894 >> Configuration saved in ./training_outputs_job_117535_1_05-06_00-42/checkpoint-1000/generation_config.json
[INFO|modeling_utils.py:2592] 2024-06-05 01:01:08,771 >> Model weights saved in ./training_outputs_job_117535_1_05-06_00-42/checkpoint-1000/model.safetensors
[INFO|tokenization_utils_base.py:2503] 2024-06-05 01:01:08,785 >> tokenizer config file saved in ./training_outputs_job_117535_1_05-06_00-42/checkpoint-1000/tokenizer_config.json
[INFO|tokenization_utils_base.py:2512] 2024-06-05 01:01:08,789 >> Special tokens file saved in ./training_outputs_job_117535_1_05-06_00-42/checkpoint-1000/special_tokens_map.json
[INFO|tokenization_utils_base.py:2503] 2024-06-05 01:01:11,153 >> tokenizer config file saved in ./training_outputs_job_117535_1_05-06_00-42/tokenizer_config.json
[INFO|tokenization_utils_base.py:2512] 2024-06-05 01:01:11,157 >> Special tokens file saved in ./training_outputs_job_117535_1_05-06_00-42/special_tokens_map.json
/home/dshteyma/miniconda3/lib/python3.9/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
warnings.warn('Was asked to gather along dimension 0, but all '