File size: 80,799 Bytes
a58bc5e |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 |
2024-06-05 03:05:23.315324: 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 03:05:23.315399: 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 03:05:23.317038: 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 03:05:23.326431: 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 03:05:26.483871: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT 06/05/2024 03:05:35 - WARNING - __main__ - Process rank: 0, device: cuda:0, n_gpu: 6, distributed training: False, 16-bits training: False 06/05/2024 03:05:35 - 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=all_checkpoints, 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_117568_1_05-06_03-05, 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_117568_1_05-06_03-05, 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 03:05:35 - 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 03:05:35 - 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 03:05:36 - 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 03:05:36 - INFO - datasets.info - Loading Dataset info from /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7 06/05/2024 03:05:36 - INFO - datasets.builder - Found cached dataset json (/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) Loading Dataset info from /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7 06/05/2024 03:05:36 - 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 03:05:36 - 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 03:05:36 - INFO - datasets.info - Loading Dataset Infos from /home/dshteyma/miniconda3/lib/python3.9/site-packages/datasets/packaged_modules/json 06/05/2024 03:05:36 - INFO - datasets.builder - Overwrite dataset info from restored data version if exists. 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 03:05:36 - 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 03:05:36 - 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 03:05:36 - 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 03:05:37 - 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 03:05:37 - 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 03:05:37 - 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 03:05:37 - INFO - datasets.info - Loading Dataset info from /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7 06/05/2024 03:05:37 - INFO - datasets.builder - Found cached dataset json (/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) Loading Dataset info from /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7 06/05/2024 03:05:37 - 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 03:05:37,626 >> 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 03:05:37,628 >> 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 03:05:37,771 >> 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 03:05:37,771 >> loading file tokenizer.json from cache at None [INFO|tokenization_utils_base.py:2102] 2024-06-05 03:05:37,771 >> loading file added_tokens.json from cache at None [INFO|tokenization_utils_base.py:2102] 2024-06-05 03:05:37,771 >> 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 03:05:37,771 >> 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 03:05:37,772 >> 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 03:05:37,868 >> 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 03:05:38,449 >> Generate config GenerationConfig { "bos_token_id": 0, "eos_token_id": 2, "pad_token_id": 1 } 06/05/2024 03:05:39 - INFO - __main__ - Training new model from scratch - Total size=64.88M params 06/05/2024 03:05:39 - 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-988d048fea8d2473.arrow 06/05/2024 03:05:39 - 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-4e281c930893bca9.arrow 06/05/2024 03:05:39 - 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-3fe350bccdda6078.arrow 06/05/2024 03:05:39 - 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-35d09b588a0c62b9.arrow 06/05/2024 03:05:39 - 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-4e5279ee31a5d8d3.arrow 06/05/2024 03:05:39 - 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-63d56456928edd43.arrow 06/05/2024 03:05:39 - INFO - datasets.arrow_dataset - Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-6a784a78d9818240.arrow Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-6a784a78d9818240.arrow 06/05/2024 03:05:39 - 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 06/05/2024 03:05:39 - INFO - datasets.arrow_dataset - Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-73605724efaea9d2.arrow Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-73605724efaea9d2.arrow 06/05/2024 03:05:39 - 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 06/05/2024 03:05:39 - 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-efdbb02491aa6344.arrow 06/05/2024 03:05:39 - INFO - datasets.arrow_dataset - Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-0cf2ae38fef927f3.arrow Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/json/default-afe4b27d28cbdcb1/0.0.0/c8d2d9508a2a2067ab02cd118834ecef34c3700d143b31835ec4235bf10109f7/cache-0cf2ae38fef927f3.arrow 06/05/2024 03:05:39 - 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 03:05:40,316 >> ***** Running training ***** [INFO|trainer.py:2069] 2024-06-05 03:05:40,316 >> Num examples = 90,745 [INFO|trainer.py:2070] 2024-06-05 03:05:40,316 >> Num Epochs = 3 [INFO|trainer.py:2071] 2024-06-05 03:05:40,316 >> Instantaneous batch size per device = 4 [INFO|trainer.py:2073] 2024-06-05 03:05:40,316 >> Training with DataParallel so batch size has been adjusted to: 24 [INFO|trainer.py:2074] 2024-06-05 03:05:40,316 >> Total train batch size (w. parallel, distributed & accumulation) = 24 [INFO|trainer.py:2075] 2024-06-05 03:05:40,316 >> Gradient Accumulation steps = 1 [INFO|trainer.py:2076] 2024-06-05 03:05:40,316 >> Total optimization steps = 11,346 [INFO|trainer.py:2077] 2024-06-05 03:05:40,317 >> 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 [00:04<15:15:06, 4.84s/it] 0%| | 2/11346 [00:05<8:04:02, 2.56s/it] 0%| | 3/11346 [00:06<5:46:22, 1.83s/it] 0%| | 4/11346 [00:07<4:41:45, 1.49s/it] 0%| | 5/11346 [00:08<4:06:03, 1.30s/it] 0%| | 6/11346 [00:09<3:44:22, 1.19s/it] 0%| | 7/11346 [00:10<3:30:41, 1.11s/it] 0%| | 8/11346 [00:11<3:21:54, 1.07s/it] 0%| | 9/11346 [00:12<3:15:57, 1.04s/it] 0%| | 10/11346 [00:13<3:11:49, 1.02s/it] 0%| | 11/11346 [00:14<3:09:05, 1.00s/it] 0%| | 12/11346 [00:15<3:07:02, 1.01it/s] 0%| | 13/11346 [00:16<3:05:37, 1.02it/s] 0%| | 14/11346 [00:17<3:04:44, 1.02it/s] 0%| | 15/11346 [00:18<3:04:01, 1.03it/s] 0%| | 16/11346 [00:19<3:03:31, 1.03it/s] 0%| | 17/11346 [00:20<3:04:21, 1.02it/s] 0%| | 18/11346 [00:21<3:06:59, 1.01it/s] 0%| | 19/11346 [00:22<3:05:57, 1.02it/s] 0%| | 20/11346 [00:23<3:05:22, 1.02it/s] 0%| | 21/11346 [00:24<3:04:28, 1.02it/s] 0%| | 22/11346 [00:25<3:03:54, 1.03it/s] 0%| | 23/11346 [00:26<3:03:38, 1.03it/s] 0%| | 24/11346 [00:27<3:03:17, 1.03it/s] 0%| | 25/11346 [00:28<3:03:02, 1.03it/s] 0%| | 26/11346 [00:29<3:02:51, 1.03it/s] 0%| | 27/11346 [00:30<3:02:38, 1.03it/s] 0%| | 28/11346 [00:31<3:02:32, 1.03it/s] 0%| | 29/11346 [00:32<3:02:30, 1.03it/s] 0%| | 30/11346 [00:32<3:02:27, 1.03it/s] 0%| | 31/11346 [00:33<3:02:27, 1.03it/s] 0%| | 32/11346 [00:34<3:02:28, 1.03it/s] 0%| | 33/11346 [00:35<3:02:33, 1.03it/s] 0%| | 34/11346 [00:36<3:02:39, 1.03it/s] 0%| | 35/11346 [00:37<3:02:48, 1.03it/s] 0%| | 36/11346 [00:38<3:02:46, 1.03it/s] 0%| | 37/11346 [00:39<3:02:52, 1.03it/s] 0%| | 38/11346 [00:40<3:02:45, 1.03it/s] 0%| | 39/11346 [00:41<3:02:40, 1.03it/s] 0%| | 40/11346 [00:42<3:02:37, 1.03it/s] 0%| | 41/11346 [00:43<3:02:27, 1.03it/s] 0%| | 42/11346 [00:44<3:02:25, 1.03it/s] 0%| | 43/11346 [00:45<3:02:24, 1.03it/s] 0%| | 44/11346 [00:46<3:02:22, 1.03it/s] 0%| | 45/11346 [00:47<3:02:21, 1.03it/s] 0%| | 46/11346 [00:48<3:02:27, 1.03it/s] 0%| | 47/11346 [00:49<3:02:26, 1.03it/s] 0%| | 48/11346 [00:50<3:02:23, 1.03it/s] 0%| | 49/11346 [00:51<3:02:30, 1.03it/s] 0%| | 50/11346 [00:52<3:02:36, 1.03it/s] 0%| | 51/11346 [00:53<3:02:38, 1.03it/s] 0%| | 52/11346 [00:54<3:02:47, 1.03it/s] 0%| | 53/11346 [00:55<3:02:52, 1.03it/s] 0%| | 54/11346 [00:56<3:02:47, 1.03it/s] 0%| | 55/11346 [00:57<3:02:48, 1.03it/s] 0%| | 56/11346 [00:58<3:02:50, 1.03it/s] 1%| | 57/11346 [00:59<3:02:51, 1.03it/s] 1%| | 58/11346 [01:00<3:02:49, 1.03it/s] 1%| | 59/11346 [01:01<3:02:35, 1.03it/s] 1%| | 60/11346 [01:02<3:02:36, 1.03it/s] 1%| | 61/11346 [01:03<3:02:29, 1.03it/s] 1%| | 62/11346 [01:04<3:02:34, 1.03it/s] 1%| | 63/11346 [01:04<3:02:34, 1.03it/s] 1%| | 64/11346 [01:05<3:02:36, 1.03it/s] 1%| | 65/11346 [01:06<3:02:35, 1.03it/s] 1%| | 66/11346 [01:07<3:02:31, 1.03it/s] 1%| | 67/11346 [01:08<3:02:33, 1.03it/s] 1%| | 68/11346 [01:09<3:02:32, 1.03it/s] 1%| | 69/11346 [01:10<3:02:34, 1.03it/s] 1%| | 70/11346 [01:11<3:02:37, 1.03it/s] 1%| | 71/11346 [01:12<3:02:31, 1.03it/s] 1%| | 72/11346 [01:13<3:02:35, 1.03it/s] 1%| | 73/11346 [01:14<3:02:39, 1.03it/s] 1%| | 74/11346 [01:15<3:02:39, 1.03it/s] 1%| | 75/11346 [01:16<3:02:28, 1.03it/s] 1%| | 76/11346 [01:17<3:02:26, 1.03it/s] 1%| | 77/11346 [01:18<3:02:26, 1.03it/s] 1%| | 78/11346 [01:19<3:02:28, 1.03it/s] 1%| | 79/11346 [01:20<3:02:26, 1.03it/s] 1%| | 80/11346 [01:21<3:02:30, 1.03it/s] 1%| | 81/11346 [01:22<3:02:28, 1.03it/s] 1%| | 82/11346 [01:23<3:02:30, 1.03it/s] 1%| | 83/11346 [01:24<3:02:24, 1.03it/s] 1%| | 84/11346 [01:25<3:02:28, 1.03it/s] 1%| | 85/11346 [01:26<3:02:25, 1.03it/s] 1%| | 86/11346 [01:27<3:02:27, 1.03it/s] 1%| | 87/11346 [01:28<3:02:31, 1.03it/s] 1%| | 88/11346 [01:29<3:02:34, 1.03it/s] 1%| | 89/11346 [01:30<3:02:35, 1.03it/s] 1%| | 90/11346 [01:31<3:02:33, 1.03it/s] 1%| | 91/11346 [01:32<3:02:30, 1.03it/s] 1%| | 92/11346 [01:33<3:02:28, 1.03it/s] 1%| | 93/11346 [01:34<3:02:18, 1.03it/s] 1%| | 94/11346 [01:35<3:02:18, 1.03it/s] 1%| | 95/11346 [01:36<3:02:19, 1.03it/s] 1%| | 96/11346 [01:37<3:02:13, 1.03it/s] 1%| | 97/11346 [01:38<3:02:16, 1.03it/s] 1%| | 98/11346 [01:38<3:02:10, 1.03it/s] 1%| | 99/11346 [01:39<3:02:15, 1.03it/s] 1%| | 100/11346 [01:40<3:02:17, 1.03it/s] 1%| | 101/11346 [01:41<3:02:09, 1.03it/s] 1%| | 102/11346 [01:42<3:02:11, 1.03it/s] 1%| | 103/11346 [01:43<3:02:13, 1.03it/s] 1%| | 104/11346 [01:44<3:02:14, 1.03it/s] 1%| | 105/11346 [01:45<3:02:17, 1.03it/s] 1%| | 106/11346 [01:46<3:02:24, 1.03it/s] 1%| | 107/11346 [01:47<3:02:23, 1.03it/s] 1%| | 108/11346 [01:48<3:02:19, 1.03it/s] 1%| | 109/11346 [01:49<3:02:12, 1.03it/s] 1%| | 110/11346 [01:50<3:02:17, 1.03it/s] 1%| | 111/11346 [01:51<3:02:21, 1.03it/s] 1%| | 112/11346 [01:52<3:02:20, 1.03it/s] 1%| | 113/11346 [01:53<3:02:08, 1.03it/s] 1%| | 114/11346 [01:54<3:02:11, 1.03it/s] 1%| | 115/11346 [01:55<3:02:06, 1.03it/s] 1%| | 116/11346 [01:56<3:02:02, 1.03it/s] 1%| | 117/11346 [01:57<3:02:01, 1.03it/s] 1%| | 118/11346 [01:58<3:02:04, 1.03it/s] 1%| | 119/11346 [01:59<3:02:06, 1.03it/s] 1%| | 120/11346 [02:00<3:02:03, 1.03it/s] 1%| | 121/11346 [02:01<3:02:03, 1.03it/s] 1%| | 122/11346 [02:02<3:02:00, 1.03it/s] 1%| | 123/11346 [02:03<3:02:07, 1.03it/s] 1%| | 124/11346 [02:04<3:02:06, 1.03it/s] 1%| | 125/11346 [02:05<3:02:04, 1.03it/s] 1%| | 126/11346 [02:06<3:02:01, 1.03it/s] 1%| | 127/11346 [02:07<3:02:09, 1.03it/s] 1%| | 128/11346 [02:08<3:02:00, 1.03it/s] 1%| | 129/11346 [02:09<3:02:01, 1.03it/s] 1%| | 130/11346 [02:10<3:02:00, 1.03it/s] 1%| | 131/11346 [02:11<3:02:05, 1.03it/s] 1%| | 132/11346 [02:12<3:02:04, 1.03it/s] 1%| | 133/11346 [02:13<3:01:55, 1.03it/s] 1%| | 134/11346 [02:14<3:01:57, 1.03it/s] 1%| | 135/11346 [02:15<3:01:53, 1.03it/s] 1%| | 136/11346 [02:15<3:01:44, 1.03it/s] 1%| | 137/11346 [02:16<3:01:44, 1.03it/s] 1%| | 138/11346 [02:17<3:01:41, 1.03it/s] 1%| | 139/11346 [02:18<3:01:44, 1.03it/s] 1%| | 140/11346 [02:19<3:01:46, 1.03it/s] 1%| | 141/11346 [02:20<3:01:46, 1.03it/s] 1%|β | 142/11346 [02:21<3:01:48, 1.03it/s] 1%|β | 143/11346 [02:22<3:01:39, 1.03it/s] 1%|β | 144/11346 [02:23<3:01:43, 1.03it/s] 1%|β | 145/11346 [02:24<3:01:43, 1.03it/s] 1%|β | 146/11346 [02:25<3:01:37, 1.03it/s] 1%|β | 147/11346 [02:26<3:01:42, 1.03it/s] 1%|β | 148/11346 [02:27<3:01:44, 1.03it/s] 1%|β | 149/11346 [02:28<3:01:44, 1.03it/s] 1%|β | 150/11346 [02:29<3:01:47, 1.03it/s] 1%|β | 151/11346 [02:30<3:01:43, 1.03it/s] 1%|β | 152/11346 [02:31<3:01:43, 1.03it/s] 1%|β | 153/11346 [02:32<3:01:37, 1.03it/s] 1%|β | 154/11346 [02:33<3:01:38, 1.03it/s] 1%|β | 155/11346 [02:34<3:01:32, 1.03it/s] 1%|β | 156/11346 [02:35<3:01:33, 1.03it/s] 1%|β | 157/11346 [02:36<3:01:29, 1.03it/s] 1%|β | 158/11346 [02:37<3:01:24, 1.03it/s] 1%|β | 159/11346 [02:38<3:01:23, 1.03it/s] 1%|β | 160/11346 [02:39<3:01:30, 1.03it/s] 1%|β | 161/11346 [02:40<3:01:33, 1.03it/s] 1%|β | 162/11346 [02:41<3:01:28, 1.03it/s] 1%|β | 163/11346 [02:42<3:01:27, 1.03it/s] 1%|β | 164/11346 [02:43<3:01:27, 1.03it/s] 1%|β | 165/11346 [02:44<3:01:27, 1.03it/s] 1%|β | 166/11346 [02:45<3:01:20, 1.03it/s] 1%|β | 167/11346 [02:46<3:01:20, 1.03it/s] 1%|β | 168/11346 [02:47<3:01:15, 1.03it/s] 1%|β | 169/11346 [02:48<3:01:17, 1.03it/s] 1%|β | 170/11346 [02:49<3:01:17, 1.03it/s] 2%|β | 171/11346 [02:50<3:01:21, 1.03it/s] 2%|β | 172/11346 [02:51<3:01:16, 1.03it/s] 2%|β | 173/11346 [02:52<3:01:20, 1.03it/s] 2%|β | 174/11346 [02:52<3:01:22, 1.03it/s] 2%|β | 175/11346 [02:53<3:01:23, 1.03it/s] 2%|β | 176/11346 [02:54<3:01:27, 1.03it/s] 2%|β | 177/11346 [02:55<3:01:28, 1.03it/s] 2%|β | 178/11346 [02:56<3:01:20, 1.03it/s] 2%|β | 179/11346 [02:57<3:01:14, 1.03it/s] 2%|β | 180/11346 [02:58<3:01:12, 1.03it/s] 2%|β | 181/11346 [02:59<3:01:27, 1.03it/s] 2%|β | 182/11346 [03:00<3:01:28, 1.03it/s] 2%|β | 183/11346 [03:01<3:01:20, 1.03it/s] 2%|β | 184/11346 [03:02<3:01:20, 1.03it/s] 2%|β | 185/11346 [03:03<3:01:08, 1.03it/s] 2%|β | 186/11346 [03:04<3:01:13, 1.03it/s] 2%|β | 187/11346 [03:05<3:01:19, 1.03it/s] 2%|β | 188/11346 [03:06<3:01:16, 1.03it/s] 2%|β | 189/11346 [03:07<3:01:13, 1.03it/s] 2%|β | 190/11346 [03:08<3:01:09, 1.03it/s] 2%|β | 191/11346 [03:09<3:01:10, 1.03it/s] 2%|β | 192/11346 [03:10<3:01:10, 1.03it/s] 2%|β | 193/11346 [03:11<3:01:02, 1.03it/s] 2%|β | 194/11346 [03:12<3:01:06, 1.03it/s] 2%|β | 195/11346 [03:13<3:01:03, 1.03it/s] 2%|β | 196/11346 [03:14<3:01:09, 1.03it/s] 2%|β | 197/11346 [03:15<3:01:08, 1.03it/s] 2%|β | 198/11346 [03:16<3:01:05, 1.03it/s] 2%|β | 199/11346 [03:17<3:01:02, 1.03it/s] 2%|β | 200/11346 [03:18<3:00:55, 1.03it/s] 2%|β | 201/11346 [03:19<3:00:59, 1.03it/s] 2%|β | 202/11346 [03:20<3:01:04, 1.03it/s] 2%|β | 203/11346 [03:21<3:01:01, 1.03it/s] 2%|β | 204/11346 [03:22<3:01:02, 1.03it/s] 2%|β | 205/11346 [03:23<3:00:57, 1.03it/s] 2%|β | 206/11346 [03:24<3:00:55, 1.03it/s] 2%|β | 207/11346 [03:25<3:00:55, 1.03it/s] 2%|β | 208/11346 [03:26<3:00:50, 1.03it/s] 2%|β | 209/11346 [03:27<3:00:50, 1.03it/s] 2%|β | 210/11346 [03:28<3:00:49, 1.03it/s] 2%|β | 211/11346 [03:29<3:00:48, 1.03it/s] 2%|β | 212/11346 [03:30<3:00:46, 1.03it/s] 2%|β | 213/11346 [03:30<3:00:49, 1.03it/s] 2%|β | 214/11346 [03:31<3:00:51, 1.03it/s] 2%|β | 215/11346 [03:32<3:00:50, 1.03it/s] 2%|β | 216/11346 [03:33<3:00:49, 1.03it/s] 2%|β | 217/11346 [03:34<3:00:41, 1.03it/s] 2%|β | 218/11346 [03:35<3:00:43, 1.03it/s] 2%|β | 219/11346 [03:36<3:00:43, 1.03it/s] 2%|β | 220/11346 [03:37<3:00:45, 1.03it/s] 2%|β | 221/11346 [03:38<3:00:43, 1.03it/s] 2%|β | 222/11346 [03:39<3:00:34, 1.03it/s] 2%|β | 223/11346 [03:40<3:00:36, 1.03it/s] 2%|β | 224/11346 [03:41<3:00:39, 1.03it/s] 2%|β | 225/11346 [03:42<3:00:41, 1.03it/s] 2%|β | 226/11346 [03:43<3:00:35, 1.03it/s] 2%|β | 227/11346 [03:44<3:00:33, 1.03it/s] 2%|β | 228/11346 [03:45<3:00:32, 1.03it/s] 2%|β | 229/11346 [03:46<3:00:33, 1.03it/s] 2%|β | 230/11346 [03:47<3:00:32, 1.03it/s] 2%|β | 231/11346 [03:48<3:00:35, 1.03it/s] 2%|β | 232/11346 [03:49<3:00:36, 1.03it/s] 2%|β | 233/11346 [03:50<3:00:32, 1.03it/s] 2%|β | 234/11346 [03:51<3:00:35, 1.03it/s] 2%|β | 235/11346 [03:52<3:00:35, 1.03it/s] 2%|β | 236/11346 [03:53<3:00:35, 1.03it/s] 2%|β | 237/11346 [03:54<3:00:34, 1.03it/s] 2%|β | 238/11346 [03:55<3:00:38, 1.02it/s] 2%|β | 239/11346 [03:56<3:00:34, 1.03it/s] 2%|β | 240/11346 [03:57<3:00:31, 1.03it/s] 2%|β | 241/11346 [03:58<3:00:30, 1.03it/s] 2%|β | 242/11346 [03:59<3:00:23, 1.03it/s] 2%|β | 243/11346 [04:00<3:00:22, 1.03it/s] 2%|β | 244/11346 [04:01<3:00:22, 1.03it/s] 2%|β | 245/11346 [04:02<3:00:21, 1.03it/s] 2%|β | 246/11346 [04:03<3:00:11, 1.03it/s] 2%|β | 247/11346 [04:04<3:00:14, 1.03it/s] 2%|β | 248/11346 [04:05<3:00:16, 1.03it/s] 2%|β | 249/11346 [04:06<3:00:15, 1.03it/s] 2%|β | 250/11346 [04:07<3:00:15, 1.03it/s] 2%|β | 251/11346 [04:08<3:00:12, 1.03it/s] 2%|β | 252/11346 [04:08<3:00:11, 1.03it/s] 2%|β | 253/11346 [04:09<3:00:11, 1.03it/s] 2%|β | 254/11346 [04:10<3:00:13, 1.03it/s] 2%|β | 255/11346 [04:11<3:00:12, 1.03it/s] 2%|β | 256/11346 [04:12<3:00:13, 1.03it/s] 2%|β | 257/11346 [04:13<3:00:06, 1.03it/s] 2%|β | 258/11346 [04:14<3:00:05, 1.03it/s] 2%|β | 259/11346 [04:15<3:00:08, 1.03it/s] 2%|β | 260/11346 [04:16<3:00:08, 1.03it/s] 2%|β | 261/11346 [04:17<3:00:05, 1.03it/s] 2%|β | 262/11346 [04:18<3:00:01, 1.03it/s] 2%|β | 263/11346 [04:19<3:00:04, 1.03it/s] 2%|β | 264/11346 [04:20<3:00:04, 1.03it/s] 2%|β | 265/11346 [04:21<3:00:02, 1.03it/s] 2%|β | 266/11346 [04:22<3:00:05, 1.03it/s] 2%|β | 267/11346 [04:23<3:00:03, 1.03it/s] 2%|β | 268/11346 [04:24<2:59:55, 1.03it/s] 2%|β | 269/11346 [04:25<2:59:51, 1.03it/s] 2%|β | 270/11346 [04:26<2:59:51, 1.03it/s] 2%|β | 271/11346 [04:27<2:59:44, 1.03it/s] 2%|β | 272/11346 [04:28<2:59:48, 1.03it/s] 2%|β | 273/11346 [04:29<2:59:59, 1.03it/s] 2%|β | 274/11346 [04:30<3:00:03, 1.02it/s] 2%|β | 275/11346 [04:31<2:59:58, 1.03it/s] 2%|β | 276/11346 [04:32<3:00:01, 1.02it/s] 2%|β | 277/11346 [04:33<3:00:00, 1.02it/s] 2%|β | 278/11346 [04:34<2:59:52, 1.03it/s] 2%|β | 279/11346 [04:35<2:59:53, 1.03it/s] 2%|β | 280/11346 [04:36<2:59:54, 1.03it/s] 2%|β | 281/11346 [04:37<2:59:49, 1.03it/s] 2%|β | 282/11346 [04:38<2:59:50, 1.03it/s] 2%|β | 283/11346 [04:39<2:59:49, 1.03it/s] 3%|β | 284/11346 [04:40<2:59:42, 1.03it/s] 3%|β | 285/11346 [04:41<2:59:45, 1.03it/s] 3%|β | 286/11346 [04:42<2:59:45, 1.03it/s] 3%|β | 287/11346 [04:43<2:59:46, 1.03it/s] 3%|β | 288/11346 [04:44<2:59:38, 1.03it/s] 3%|β | 289/11346 [04:45<2:59:34, 1.03it/s] 3%|β | 290/11346 [04:46<2:59:25, 1.03it/s] 3%|β | 291/11346 [04:47<2:59:28, 1.03it/s] 3%|β | 292/11346 [04:47<2:59:31, 1.03it/s] 3%|β | 293/11346 [04:48<2:59:32, 1.03it/s] 3%|β | 294/11346 [04:49<2:59:30, 1.03it/s] 3%|β | 295/11346 [04:50<2:59:31, 1.03it/s] 3%|β | 296/11346 [04:51<2:59:32, 1.03it/s] 3%|β | 297/11346 [04:52<2:59:27, 1.03it/s] 3%|β | 298/11346 [04:53<2:59:26, 1.03it/s] 3%|β | 299/11346 [04:54<2:59:23, 1.03it/s] 3%|β | 300/11346 [04:55<2:59:19, 1.03it/s] 3%|β | 301/11346 [04:56<2:59:21, 1.03it/s] 3%|β | 302/11346 [04:57<2:59:26, 1.03it/s] 3%|β | 303/11346 [04:58<2:59:25, 1.03it/s] 3%|β | 304/11346 [04:59<2:59:23, 1.03it/s] 3%|β | 305/11346 [05:00<2:59:26, 1.03it/s] 3%|β | 306/11346 [05:01<2:59:22, 1.03it/s] 3%|β | 307/11346 [05:02<2:59:30, 1.02it/s] 3%|β | 308/11346 [05:03<2:59:20, 1.03it/s] 3%|β | 309/11346 [05:04<2:59:21, 1.03it/s] 3%|β | 310/11346 [05:05<2:59:16, 1.03it/s] 3%|β | 311/11346 [05:06<2:59:15, 1.03it/s] 3%|β | 312/11346 [05:07<2:59:11, 1.03it/s] 3%|β | 313/11346 [05:08<2:59:02, 1.03it/s] 3%|β | 314/11346 [05:09<2:59:00, 1.03it/s] 3%|β | 315/11346 [05:10<2:59:03, 1.03it/s] 3%|β | 316/11346 [05:11<2:59:04, 1.03it/s] 3%|β | 317/11346 [05:12<2:59:08, 1.03it/s] 3%|β | 318/11346 [05:13<2:59:07, 1.03it/s] 3%|β | 319/11346 [05:14<2:59:05, 1.03it/s] 3%|β | 320/11346 [05:15<2:59:01, 1.03it/s] 3%|β | 321/11346 [05:16<2:59:02, 1.03it/s] 3%|β | 322/11346 [05:17<2:59:08, 1.03it/s] 3%|β | 323/11346 [05:18<2:59:03, 1.03it/s] 3%|β | 324/11346 [05:19<2:58:55, 1.03it/s] 3%|β | 325/11346 [05:20<2:59:00, 1.03it/s] 3%|β | 326/11346 [05:21<2:58:53, 1.03it/s] 3%|β | 327/11346 [05:22<2:58:46, 1.03it/s] 3%|β | 328/11346 [05:23<2:58:50, 1.03it/s] 3%|β | 329/11346 [05:24<2:58:42, 1.03it/s] 3%|β | 330/11346 [05:25<2:58:39, 1.03it/s] 3%|β | 331/11346 [05:25<2:58:42, 1.03it/s] 3%|β | 332/11346 [05:26<2:58:47, 1.03it/s] 3%|β | 333/11346 [05:27<2:58:45, 1.03it/s] 3%|β | 334/11346 [05:28<2:58:46, 1.03it/s] 3%|β | 335/11346 [05:29<2:58:40, 1.03it/s] 3%|β | 336/11346 [05:30<2:58:34, 1.03it/s] 3%|β | 337/11346 [05:31<2:58:29, 1.03it/s] 3%|β | 338/11346 [05:32<2:58:31, 1.03it/s] 3%|β | 339/11346 [05:33<2:58:38, 1.03it/s] 3%|β | 340/11346 [05:34<2:58:38, 1.03it/s] 3%|β | 341/11346 [05:35<2:58:41, 1.03it/s] 3%|β | 342/11346 [05:36<2:58:42, 1.03it/s] 3%|β | 343/11346 [05:37<2:58:40, 1.03it/s] 3%|β | 344/11346 [05:38<2:58:33, 1.03it/s] 3%|β | 345/11346 [05:39<2:58:34, 1.03it/s] 3%|β | 346/11346 [05:40<2:58:37, 1.03it/s] 3%|β | 347/11346 [05:41<2:58:31, 1.03it/s] 3%|β | 348/11346 [05:42<2:58:31, 1.03it/s] 3%|β | 349/11346 [05:43<2:58:30, 1.03it/s] 3%|β | 350/11346 [05:44<2:58:27, 1.03it/s] 3%|β | 351/11346 [05:45<2:58:22, 1.03it/s] 3%|β | 352/11346 [05:46<2:58:23, 1.03it/s] 3%|β | 353/11346 [05:47<2:58:23, 1.03it/s] 3%|β | 354/11346 [05:48<2:58:23, 1.03it/s] 3%|β | 355/11346 [05:49<2:58:22, 1.03it/s] 3%|β | 356/11346 [05:50<2:58:22, 1.03it/s] 3%|β | 357/11346 [05:51<2:58:23, 1.03it/s] 3%|β | 358/11346 [05:52<2:58:22, 1.03it/s] 3%|β | 359/11346 [05:53<2:58:24, 1.03it/s] 3%|β | 360/11346 [05:54<2:58:23, 1.03it/s] 3%|β | 361/11346 [05:55<2:58:18, 1.03it/s] 3%|β | 362/11346 [05:56<2:58:22, 1.03it/s] 3%|β | 363/11346 [05:57<2:58:12, 1.03it/s] 3%|β | 364/11346 [05:58<2:58:13, 1.03it/s] 3%|β | 365/11346 [05:59<2:58:18, 1.03it/s] 3%|β | 366/11346 [06:00<2:58:18, 1.03it/s] 3%|β | 367/11346 [06:01<2:58:12, 1.03it/s] 3%|β | 368/11346 [06:02<2:58:16, 1.03it/s] 3%|β | 369/11346 [06:03<2:58:15, 1.03it/s] 3%|β | 370/11346 [06:03<2:58:11, 1.03it/s] 3%|β | 371/11346 [06:04<2:58:12, 1.03it/s] 3%|β | 372/11346 [06:05<2:58:20, 1.03it/s] 3%|β | 373/11346 [06:06<2:58:15, 1.03it/s] 3%|β | 374/11346 [06:07<2:58:06, 1.03it/s] 3%|β | 375/11346 [06:08<2:58:09, 1.03it/s] 3%|β | 376/11346 [06:09<2:58:10, 1.03it/s] 3%|β | 377/11346 [06:10<2:58:08, 1.03it/s] 3%|β | 378/11346 [06:11<2:57:58, 1.03it/s] 3%|β | 379/11346 [06:12<2:58:02, 1.03it/s] 3%|β | 380/11346 [06:13<2:58:02, 1.03it/s] 3%|β | 381/11346 [06:14<2:57:59, 1.03it/s] 3%|β | 382/11346 [06:15<2:57:58, 1.03it/s] 3%|β | 383/11346 [06:16<2:57:57, 1.03it/s] 3%|β | 384/11346 [06:17<2:57:59, 1.03it/s] 3%|β | 385/11346 [06:18<2:57:55, 1.03it/s] 3%|β | 386/11346 [06:19<2:57:57, 1.03it/s] 3%|β | 387/11346 [06:20<2:57:56, 1.03it/s] 3%|β | 388/11346 [06:21<2:57:53, 1.03it/s] 3%|β | 389/11346 [06:22<2:57:54, 1.03it/s] 3%|β | 390/11346 [06:23<2:57:56, 1.03it/s] 3%|β | 391/11346 [06:24<2:57:50, 1.03it/s] 3%|β | 392/11346 [06:25<2:57:51, 1.03it/s] 3%|β | 393/11346 [06:26<2:57:45, 1.03it/s] 3%|β | 394/11346 [06:27<2:57:41, 1.03it/s] 3%|β | 395/11346 [06:28<2:57:39, 1.03it/s] 3%|β | 396/11346 [06:29<2:57:34, 1.03it/s] 3%|β | 397/11346 [06:30<2:57:32, 1.03it/s] 4%|β | 398/11346 [06:31<2:57:25, 1.03it/s] 4%|β | 399/11346 [06:32<2:57:23, 1.03it/s] 4%|β | 400/11346 [06:33<2:57:23, 1.03it/s] 4%|β | 401/11346 [06:34<2:57:26, 1.03it/s] 4%|β | 402/11346 [06:35<2:57:28, 1.03it/s] 4%|β | 403/11346 [06:36<2:57:24, 1.03it/s] 4%|β | 404/11346 [06:37<2:57:26, 1.03it/s] 4%|β | 405/11346 [06:38<2:57:22, 1.03it/s] 4%|β | 406/11346 [06:39<2:57:16, 1.03it/s] 4%|β | 407/11346 [06:39<2:57:09, 1.03it/s] 4%|β | 408/11346 [06:40<2:57:09, 1.03it/s] 4%|β | 409/11346 [06:41<2:57:08, 1.03it/s] 4%|β | 410/11346 [06:42<2:57:07, 1.03it/s] 4%|β | 411/11346 [06:43<2:57:03, 1.03it/s] 4%|β | 412/11346 [06:44<2:57:04, 1.03it/s] 4%|β | 413/11346 [06:45<2:57:00, 1.03it/s] 4%|β | 414/11346 [06:46<2:56:59, 1.03it/s] 4%|β | 415/11346 [06:47<2:57:02, 1.03it/s] 4%|β | 416/11346 [06:48<2:57:00, 1.03it/s] 4%|β | 417/11346 [06:49<2:57:00, 1.03it/s] 4%|β | 418/11346 [06:50<2:57:03, 1.03it/s] 4%|β | 419/11346 [06:51<2:57:04, 1.03it/s] 4%|β | 420/11346 [06:52<2:57:04, 1.03it/s] 4%|β | 421/11346 [06:53<2:57:10, 1.03it/s] 4%|β | 422/11346 [06:54<2:57:09, 1.03it/s] 4%|β | 423/11346 [06:55<2:57:04, 1.03it/s] 4%|β | 424/11346 [06:56<2:57:00, 1.03it/s] 4%|β | 425/11346 [06:57<2:56:57, 1.03it/s] 4%|β | 426/11346 [06:58<2:56:58, 1.03it/s] 4%|β | 427/11346 [06:59<2:56:54, 1.03it/s] 4%|β | 428/11346 [07:00<2:56:55, 1.03it/s] 4%|β | 429/11346 [07:01<2:56:55, 1.03it/s] 4%|β | 430/11346 [07:02<2:56:53, 1.03it/s] 4%|β | 431/11346 [07:03<2:56:50, 1.03it/s] 4%|β | 432/11346 [07:04<2:56:46, 1.03it/s] 4%|β | 433/11346 [07:05<2:56:43, 1.03it/s] 4%|β | 434/11346 [07:06<2:56:44, 1.03it/s] 4%|β | 435/11346 [07:07<2:56:51, 1.03it/s] 4%|β | 436/11346 [07:08<2:56:47, 1.03it/s] 4%|β | 437/11346 [07:09<2:56:43, 1.03it/s] 4%|β | 438/11346 [07:10<2:56:53, 1.03it/s] 4%|β | 439/11346 [07:11<2:56:45, 1.03it/s] 4%|β | 440/11346 [07:12<2:56:42, 1.03it/s] 4%|β | 441/11346 [07:13<2:56:45, 1.03it/s] 4%|β | 442/11346 [07:14<2:56:42, 1.03it/s] 4%|β | 443/11346 [07:14<2:56:39, 1.03it/s] 4%|β | 444/11346 [07:15<2:56:37, 1.03it/s] 4%|β | 445/11346 [07:16<2:56:38, 1.03it/s] 4%|β | 446/11346 [07:17<2:56:35, 1.03it/s] 4%|β | 447/11346 [07:18<2:56:38, 1.03it/s] 4%|β | 448/11346 [07:19<2:56:38, 1.03it/s] 4%|β | 449/11346 [07:20<2:56:34, 1.03it/s] 4%|β | 450/11346 [07:21<2:56:31, 1.03it/s] 4%|β | 451/11346 [07:22<2:56:32, 1.03it/s] 4%|β | 452/11346 [07:23<2:56:31, 1.03it/s] 4%|β | 453/11346 [07:24<2:56:29, 1.03it/s] 4%|β | 454/11346 [07:25<2:56:29, 1.03it/s] 4%|β | 455/11346 [07:26<2:56:25, 1.03it/s] 4%|β | 456/11346 [07:27<2:56:25, 1.03it/s] 4%|β | 457/11346 [07:28<2:56:24, 1.03it/s] 4%|β | 458/11346 [07:29<2:56:23, 1.03it/s] 4%|β | 459/11346 [07:30<2:56:22, 1.03it/s] 4%|β | 460/11346 [07:31<2:56:22, 1.03it/s] 4%|β | 461/11346 [07:32<2:56:19, 1.03it/s] 4%|β | 462/11346 [07:33<2:56:19, 1.03it/s] 4%|β | 463/11346 [07:34<2:56:20, 1.03it/s] 4%|β | 464/11346 [07:35<2:56:20, 1.03it/s] 4%|β | 465/11346 [07:36<2:56:21, 1.03it/s] 4%|β | 466/11346 [07:37<2:56:16, 1.03it/s] 4%|β | 467/11346 [07:38<2:56:10, 1.03it/s] 4%|β | 468/11346 [07:39<2:56:11, 1.03it/s] 4%|β | 469/11346 [07:40<2:56:07, 1.03it/s] 4%|β | 470/11346 [07:41<2:56:09, 1.03it/s] 4%|β | 471/11346 [07:42<2:56:10, 1.03it/s] 4%|β | 472/11346 [07:43<2:56:12, 1.03it/s] 4%|β | 473/11346 [07:44<2:56:18, 1.03it/s] 4%|β | 474/11346 [07:45<2:56:16, 1.03it/s] 4%|β | 475/11346 [07:46<2:56:08, 1.03it/s] 4%|β | 476/11346 [07:47<2:56:06, 1.03it/s] 4%|β | 477/11346 [07:48<2:56:05, 1.03it/s] 4%|β | 478/11346 [07:49<2:56:03, 1.03it/s] 4%|β | 479/11346 [07:49<2:55:59, 1.03it/s] 4%|β | 480/11346 [07:50<2:56:00, 1.03it/s] 4%|β | 481/11346 [07:51<2:55:59, 1.03it/s] 4%|β | 482/11346 [07:52<2:55:57, 1.03it/s] 4%|β | 483/11346 [07:53<2:55:58, 1.03it/s] 4%|β | 484/11346 [07:54<2:55:55, 1.03it/s] 4%|β | 485/11346 [07:55<2:55:58, 1.03it/s] 4%|β | 486/11346 [07:56<2:55:56, 1.03it/s] 4%|β | 487/11346 [07:57<2:55:50, 1.03it/s] 4%|β | 488/11346 [07:58<2:55:48, 1.03it/s] 4%|β | 489/11346 [07:59<2:55:47, 1.03it/s] 4%|β | 490/11346 [08:00<2:55:48, 1.03it/s] 4%|β | 491/11346 [08:01<2:55:51, 1.03it/s] 4%|β | 492/11346 [08:02<2:55:51, 1.03it/s] 4%|β | 493/11346 [08:03<2:55:48, 1.03it/s] 4%|β | 494/11346 [08:04<2:55:50, 1.03it/s] 4%|β | 495/11346 [08:05<2:55:51, 1.03it/s] 4%|β | 496/11346 [08:06<2:55:49, 1.03it/s] 4%|β | 497/11346 [08:07<2:55:49, 1.03it/s] 4%|β | 498/11346 [08:08<2:55:44, 1.03it/s] 4%|β | 499/11346 [08:09<2:55:43, 1.03it/s] 4%|β | 500/11346 [08:10<2:55:42, 1.03it/s] 4%|β | 500/11346 [08:10<2:55:42, 1.03it/s] 4%|β | 501/11346 [08:11<2:55:54, 1.03it/s] 4%|β | 502/11346 [08:12<2:55:53, 1.03it/s] 4%|β | 503/11346 [08:13<2:55:51, 1.03it/s] 4%|β | 504/11346 [08:14<2:55:43, 1.03it/s] 4%|β | 505/11346 [08:15<2:55:43, 1.03it/s] 4%|β | 506/11346 [08:16<2:55:40, 1.03it/s] 4%|β | 507/11346 [08:17<2:55:35, 1.03it/s] 4%|β | 508/11346 [08:18<2:55:34, 1.03it/s] 4%|β | 509/11346 [08:19<2:55:35, 1.03it/s] 4%|β | 510/11346 [08:20<2:55:32, 1.03it/s] 5%|β | 511/11346 [08:21<2:55:29, 1.03it/s] 5%|β | 512/11346 [08:22<2:55:32, 1.03it/s] 5%|β | 513/11346 [08:23<2:55:28, 1.03it/s] 5%|β | 514/11346 [08:24<2:55:27, 1.03it/s] 5%|β | 515/11346 [08:24<2:55:28, 1.03it/s] 5%|β | 516/11346 [08:25<2:55:36, 1.03it/s] 5%|β | 517/11346 [08:26<2:55:34, 1.03it/s] 5%|β | 518/11346 [08:27<2:55:29, 1.03it/s] 5%|β | 519/11346 [08:28<2:55:30, 1.03it/s] 5%|β | 520/11346 [08:29<2:55:30, 1.03it/s] 5%|β | 521/11346 [08:30<2:55:31, 1.03it/s] 5%|β | 522/11346 [08:31<2:55:30, 1.03it/s] 5%|β | 523/11346 [08:32<2:55:32, 1.03it/s] 5%|β | 524/11346 [08:33<2:55:27, 1.03it/s] 5%|β | 525/11346 [08:34<2:55:25, 1.03it/s] 5%|β | 526/11346 [08:35<2:55:29, 1.03it/s] 5%|β | 527/11346 [08:36<2:55:25, 1.03it/s] 5%|β | 528/11346 [08:37<2:55:19, 1.03it/s] 5%|β | 529/11346 [08:38<2:55:22, 1.03it/s] 5%|β | 530/11346 [08:39<2:55:23, 1.03it/s] 5%|β | 531/11346 [08:40<2:55:20, 1.03it/s] 5%|β | 532/11346 [08:41<2:55:13, 1.03it/s] 5%|β | 533/11346 [08:42<2:55:13, 1.03it/s] 5%|β | 534/11346 [08:43<2:55:10, 1.03it/s] 5%|β | 535/11346 [08:44<2:55:10, 1.03it/s] 5%|β | 536/11346 [08:45<2:55:09, 1.03it/s] 5%|β | 537/11346 [08:46<2:55:11, 1.03it/s] 5%|β | 538/11346 [08:47<2:55:07, 1.03it/s] 5%|β | 539/11346 [08:48<2:55:08, 1.03it/s] 5%|β | 540/11346 [08:49<2:55:08, 1.03it/s] 5%|β | 541/11346 [08:50<2:55:11, 1.03it/s] 5%|β | 542/11346 [08:51<2:55:07, 1.03it/s] 5%|β | 543/11346 [08:52<2:55:04, 1.03it/s] 5%|β | 544/11346 [08:53<2:55:06, 1.03it/s] 5%|β | 545/11346 [08:54<2:55:03, 1.03it/s] 5%|β | 546/11346 [08:55<2:55:00, 1.03it/s] 5%|β | 547/11346 [08:56<2:54:58, 1.03it/s] 5%|β | 548/11346 [08:57<2:54:57, 1.03it/s] 5%|β | 549/11346 [08:58<2:54:57, 1.03it/s] 5%|β | 550/11346 [08:59<2:54:58, 1.03it/s] 5%|β | 551/11346 [08:59<2:54:53, 1.03it/s] 5%|β | 552/11346 [09:00<2:54:50, 1.03it/s] 5%|β | 553/11346 [09:01<2:54:48, 1.03it/s] 5%|β | 554/11346 [09:02<2:54:51, 1.03it/s] 5%|β | 555/11346 [09:03<2:54:53, 1.03it/s] 5%|β | 556/11346 [09:04<2:54:48, 1.03it/s] 5%|β | 557/11346 [09:05<2:54:44, 1.03it/s] 5%|β | 558/11346 [09:06<2:54:55, 1.03it/s] 5%|β | 559/11346 [09:07<2:54:51, 1.03it/s] 5%|β | 560/11346 [09:08<2:54:48, 1.03it/s] 5%|β | 561/11346 [09:09<2:54:47, 1.03it/s] 5%|β | 562/11346 [09:10<2:54:45, 1.03it/s] 5%|β | 563/11346 [09:11<2:54:42, 1.03it/s] 5%|β | 564/11346 [09:12<2:54:41, 1.03it/s] 5%|β | 565/11346 [09:13<2:54:45, 1.03it/s] 5%|β | 566/11346 [09:14<2:54:41, 1.03it/s] 5%|β | 567/11346 [09:15<2:54:43, 1.03it/s] 5%|β | 568/11346 [09:16<2:54:40, 1.03it/s] 5%|β | 569/11346 [09:17<2:54:35, 1.03it/s] 5%|β | 570/11346 [09:18<2:54:32, 1.03it/s] 5%|β | 571/11346 [09:19<2:54:34, 1.03it/s] 5%|β | 572/11346 [09:20<2:54:32, 1.03it/s] 5%|β | 573/11346 [09:21<2:54:33, 1.03it/s] 5%|β | 574/11346 [09:22<2:54:33, 1.03it/s] 5%|β | 575/11346 [09:23<2:54:29, 1.03it/s] 5%|β | 576/11346 [09:24<2:54:28, 1.03it/s] 5%|β | 577/11346 [09:25<2:54:25, 1.03it/s] 5%|β | 578/11346 [09:26<2:54:24, 1.03it/s] 5%|β | 579/11346 [09:27<2:54:27, 1.03it/s] 5%|β | 580/11346 [09:28<2:54:25, 1.03it/s] 5%|β | 581/11346 [09:29<2:54:21, 1.03it/s] 5%|β | 582/11346 [09:30<2:54:26, 1.03it/s] 5%|β | 583/11346 [09:31<2:54:24, 1.03it/s] 5%|β | 584/11346 [09:32<2:54:22, 1.03it/s] 5%|β | 585/11346 [09:33<2:54:21, 1.03it/s] 5%|β | 586/11346 [09:34<2:54:17, 1.03it/s] 5%|β | 587/11346 [09:34<2:54:17, 1.03it/s] 5%|β | 588/11346 [09:35<2:54:13, 1.03it/s] 5%|β | 589/11346 [09:36<2:54:18, 1.03it/s] 5%|β | 590/11346 [09:37<2:54:15, 1.03it/s] 5%|β | 591/11346 [09:38<2:54:09, 1.03it/s] 5%|β | 592/11346 [09:39<2:54:09, 1.03it/s] 5%|β | 593/11346 [09:40<2:54:13, 1.03it/s] 5%|β | 594/11346 [09:41<2:54:12, 1.03it/s] 5%|β | 595/11346 [09:42<2:54:13, 1.03it/s] 5%|β | 596/11346 [09:43<2:54:10, 1.03it/s] 5%|β | 597/11346 [09:44<2:54:09, 1.03it/s] 5%|β | 598/11346 [09:45<2:54:06, 1.03it/s] 5%|β | 599/11346 [09:46<2:54:12, 1.03it/s] 5%|β | 600/11346 [09:47<2:54:08, 1.03it/s] 5%|β | 601/11346 [09:48<2:54:08, 1.03it/s] 5%|β | 602/11346 [09:49<2:54:07, 1.03it/s] 5%|β | 603/11346 [09:50<2:54:12, 1.03it/s] 5%|β | 604/11346 [09:51<2:54:10, 1.03it/s] 5%|β | 605/11346 [09:52<2:54:10, 1.03it/s] 5%|β | 606/11346 [09:53<2:54:09, 1.03it/s] 5%|β | 607/11346 [09:54<2:54:06, 1.03it/s] 5%|β | 608/11346 [09:55<2:54:06, 1.03it/s] 5%|β | 609/11346 [09:56<2:54:06, 1.03it/s] 5%|β | 610/11346 [09:57<2:54:03, 1.03it/s] 5%|β | 611/11346 [09:58<2:54:02, 1.03it/s] 5%|β | 612/11346 [09:59<2:54:01, 1.03it/s] 5%|β | 613/11346 [10:00<2:53:56, 1.03it/s] 5%|β | 614/11346 [10:01<2:53:56, 1.03it/s] 5%|β | 615/11346 [10:02<2:53:53, 1.03it/s] 5%|β | 616/11346 [10:03<2:53:48, 1.03it/s] 5%|β | 617/11346 [10:04<2:53:48, 1.03it/s] 5%|β | 618/11346 [10:05<2:53:46, 1.03it/s] 5%|β | 619/11346 [10:06<2:53:50, 1.03it/s] 5%|β | 620/11346 [10:07<2:53:49, 1.03it/s] 5%|β | 621/11346 [10:08<2:53:50, 1.03it/s] 5%|β | 622/11346 [10:09<2:53:46, 1.03it/s] 5%|β | 623/11346 [10:09<2:53:45, 1.03it/s] 5%|β | 624/11346 [10:10<2:53:45, 1.03it/s] 6%|β | 625/11346 [10:11<2:53:48, 1.03it/s] 6%|β | 626/11346 [10:12<2:53:47, 1.03it/s] 6%|β | 627/11346 [10:13<2:53:42, 1.03it/s] 6%|β | 628/11346 [10:14<2:53:45, 1.03it/s] 6%|β | 629/11346 [10:15<2:53:41, 1.03it/s] 6%|β | 630/11346 [10:16<2:53:39, 1.03it/s] 6%|β | 631/11346 [10:17<2:53:36, 1.03it/s] 6%|β | 632/11346 [10:18<2:53:35, 1.03it/s] 6%|β | 633/11346 [10:19<2:53:36, 1.03it/s] 6%|β | 634/11346 [10:20<2:53:35, 1.03it/s] 6%|β | 635/11346 [10:21<2:53:34, 1.03it/s] 6%|β | 636/11346 [10:22<2:53:36, 1.03it/s] 6%|β | 637/11346 [10:23<2:53:29, 1.03it/s] 6%|β | 638/11346 [10:24<2:53:28, 1.03it/s] 6%|β | 639/11346 [10:25<2:53:30, 1.03it/s] 6%|β | 640/11346 [10:26<2:53:28, 1.03it/s] 6%|β | 641/11346 [10:27<2:53:28, 1.03it/s] 6%|β | 642/11346 [10:28<2:53:24, 1.03it/s] 6%|β | 643/11346 [10:29<2:53:26, 1.03it/s] 6%|β | 644/11346 [10:30<2:53:27, 1.03it/s] 6%|β | 645/11346 [10:31<2:53:27, 1.03it/s] 6%|β | 646/11346 [10:32<2:53:26, 1.03it/s] 6%|β | 647/11346 [10:33<2:53:26, 1.03it/s] 6%|β | 648/11346 [10:34<2:53:25, 1.03it/s] 6%|β | 649/11346 [10:35<2:53:23, 1.03it/s] 6%|β | 650/11346 [10:36<2:53:19, 1.03it/s] 6%|β | 651/11346 [10:37<2:53:19, 1.03it/s] 6%|β | 652/11346 [10:38<2:53:27, 1.03it/s] 6%|β | 653/11346 [10:39<2:53:24, 1.03it/s] 6%|β | 654/11346 [10:40<2:53:21, 1.03it/s] 6%|β | 655/11346 [10:41<2:53:29, 1.03it/s] 6%|β | 656/11346 [10:42<2:53:21, 1.03it/s] 6%|β | 657/11346 [10:43<2:53:16, 1.03it/s] 6%|β | 658/11346 [10:44<2:53:16, 1.03it/s] 6%|β | 659/11346 [10:45<2:53:17, 1.03it/s] 6%|β | 660/11346 [10:45<2:53:15, 1.03it/s] 6%|β | 661/11346 [10:46<2:53:14, 1.03it/s] 6%|β | 662/11346 [10:47<2:53:15, 1.03it/s] 6%|β | 663/11346 [10:48<2:53:12, 1.03it/s] 6%|β | 664/11346 [10:49<2:53:10, 1.03it/s] 6%|β | 665/11346 [10:50<2:53:03, 1.03it/s] 6%|β | 666/11346 [10:51<2:53:05, 1.03it/s] 6%|β | 667/11346 [10:52<2:53:08, 1.03it/s] 6%|β | 668/11346 [10:53<2:53:06, 1.03it/s] 6%|β | 669/11346 [10:54<2:53:03, 1.03it/s] 6%|β | 670/11346 [10:55<2:52:58, 1.03it/s] 6%|β | 671/11346 [10:56<2:53:01, 1.03it/s] 6%|β | 672/11346 [10:57<2:53:05, 1.03it/s] 6%|β | 673/11346 [10:58<2:53:06, 1.03it/s] 6%|β | 674/11346 [10:59<2:53:06, 1.03it/s] 6%|β | 675/11346 [11:00<2:52:57, 1.03it/s] 6%|β | 676/11346 [11:01<2:53:00, 1.03it/s] 6%|β | 677/11346 [11:02<2:52:58, 1.03it/s] 6%|β | 678/11346 [11:03<2:52:58, 1.03it/s] 6%|β | 679/11346 [11:04<2:52:51, 1.03it/s] 6%|β | 680/11346 [11:05<2:52:48, 1.03it/s] 6%|β | 681/11346 [11:06<2:52:44, 1.03it/s] 6%|β | 682/11346 [11:07<2:52:45, 1.03it/s] 6%|β | 683/11346 [11:08<2:52:45, 1.03it/s] 6%|β | 684/11346 [11:09<2:52:44, 1.03it/s] 6%|β | 685/11346 [11:10<2:52:48, 1.03it/s] 6%|β | 686/11346 [11:11<2:52:43, 1.03it/s] 6%|β | 687/11346 [11:12<2:52:38, 1.03it/s] 6%|β | 688/11346 [11:13<2:52:38, 1.03it/s] 6%|β | 689/11346 [11:14<2:52:39, 1.03it/s] 6%|β | 690/11346 [11:15<2:52:38, 1.03it/s] 6%|β | 691/11346 [11:16<2:52:46, 1.03it/s] 6%|β | 692/11346 [11:17<2:52:42, 1.03it/s] 6%|β | 693/11346 [11:18<2:52:41, 1.03it/s] 6%|β | 694/11346 [11:19<2:52:39, 1.03it/s] 6%|β | 695/11346 [11:20<2:52:39, 1.03it/s] 6%|β | 696/11346 [11:20<2:52:35, 1.03it/s] 6%|β | 697/11346 [11:21<2:52:37, 1.03it/s] 6%|β | 698/11346 [11:22<2:52:38, 1.03it/s] 6%|β | 699/11346 [11:23<2:52:33, 1.03it/s] 6%|β | 700/11346 [11:24<2:52:31, 1.03it/s] 6%|β | 701/11346 [11:25<2:52:29, 1.03it/s] 6%|β | 702/11346 [11:26<2:52:29, 1.03it/s] 6%|β | 703/11346 [11:27<2:52:29, 1.03it/s] 6%|β | 704/11346 [11:28<2:52:26, 1.03it/s] 6%|β | 705/11346 [11:29<2:52:21, 1.03it/s] 6%|β | 706/11346 [11:30<2:52:24, 1.03it/s] 6%|β | 707/11346 [11:31<2:52:20, 1.03it/s] 6%|β | 708/11346 [11:32<2:52:20, 1.03it/s] 6%|β | 709/11346 [11:33<2:52:20, 1.03it/s] 6%|β | 710/11346 [11:34<2:52:20, 1.03it/s] 6%|β | 711/11346 [11:35<2:52:18, 1.03it/s] 6%|β | 712/11346 [11:36<2:52:15, 1.03it/s] 6%|β | 713/11346 [11:37<2:52:13, 1.03it/s] 6%|β | 714/11346 [11:38<2:52:13, 1.03it/s] 6%|β | 715/11346 [11:39<2:52:13, 1.03it/s] 6%|β | 716/11346 [11:40<2:52:14, 1.03it/s] 6%|β | 717/11346 [11:41<2:52:14, 1.03it/s] 6%|β | 718/11346 [11:42<2:52:13, 1.03it/s] 6%|β | 719/11346 [11:43<2:52:08, 1.03it/s] 6%|β | 720/11346 [11:44<2:52:05, 1.03it/s] 6%|β | 721/11346 [11:45<2:52:00, 1.03it/s] 6%|β | 722/11346 [11:46<2:52:01, 1.03it/s] 6%|β | 723/11346 [11:47<2:52:05, 1.03it/s] 6%|β | 724/11346 [11:48<2:52:05, 1.03it/s] 6%|β | 725/11346 [11:49<2:52:02, 1.03it/s] 6%|β | 726/11346 [11:50<2:52:06, 1.03it/s] 6%|β | 727/11346 [11:51<2:52:06, 1.03it/s] 6%|β | 728/11346 [11:52<2:52:02, 1.03it/s] 6%|β | 729/11346 [11:53<2:52:02, 1.03it/s] 6%|β | 730/11346 [11:54<2:52:03, 1.03it/s] 6%|β | 731/11346 [11:55<2:52:02, 1.03it/s] 6%|β | 732/11346 [11:55<2:52:00, 1.03it/s] 6%|β | 733/11346 [11:56<2:52:01, 1.03it/s] 6%|β | 734/11346 [11:57<2:51:58, 1.03it/s] 6%|β | 735/11346 [11:58<2:52:00, 1.03it/s] 6%|β | 736/11346 [11:59<2:51:54, 1.03it/s] 6%|β | 737/11346 [12:00<2:51:58, 1.03it/s] 7%|β | 738/11346 [12:01<2:51:58, 1.03it/s] 7%|β | 739/11346 [12:02<2:51:56, 1.03it/s] 7%|β | 740/11346 [12:03<2:51:52, 1.03it/s] 7%|β | 741/11346 [12:04<2:52:01, 1.03it/s] 7%|β | 742/11346 [12:05<2:51:56, 1.03it/s] 7%|β | 743/11346 [12:06<2:51:52, 1.03it/s] 7%|β | 744/11346 [12:07<2:51:49, 1.03it/s] 7%|β | 745/11346 [12:08<2:51:51, 1.03it/s] 7%|β | 746/11346 [12:09<2:51:55, 1.03it/s] 7%|β | 747/11346 [12:10<2:51:54, 1.03it/s] 7%|β | 748/11346 [12:11<3:04:33, 1.04s/it] 7%|β | 749/11346 [12:12<3:00:39, 1.02s/it] 7%|β | 750/11346 [12:13<2:57:52, 1.01s/it] 7%|β | 751/11346 [12:14<2:56:02, 1.00it/s] 7%|β | 752/11346 [12:15<2:54:40, 1.01it/s] 7%|β | 753/11346 [12:16<2:53:46, 1.02it/s] 7%|β | 754/11346 [12:17<2:53:09, 1.02it/s] 7%|β | 755/11346 [12:18<2:52:43, 1.02it/s] 7%|β | 756/11346 [12:19<2:52:19, 1.02it/s] 7%|β | 757/11346 [12:20<2:52:06, 1.03it/s] 7%|β | 758/11346 [12:21<2:51:53, 1.03it/s] 7%|β | 759/11346 [12:22<2:51:44, 1.03it/s] 7%|β | 760/11346 [12:23<2:51:40, 1.03it/s] 7%|β | 761/11346 [12:24<2:51:34, 1.03it/s] 7%|β | 762/11346 [12:25<2:51:31, 1.03it/s] 7%|β | 763/11346 [12:26<2:51:28, 1.03it/s] 7%|β | 764/11346 [12:27<2:51:28, 1.03it/s] 7%|β | 765/11346 [12:28<2:51:27, 1.03it/s] 7%|β | 766/11346 [12:29<2:51:20, 1.03it/s] 7%|β | 767/11346 [12:30<2:51:18, 1.03it/s] 7%|β | 768/11346 [12:31<2:51:19, 1.03it/s] 7%|β | 769/11346 [12:32<2:51:21, 1.03it/s] 7%|β | 770/11346 [12:33<2:51:22, 1.03it/s] 7%|β | 771/11346 [12:34<2:51:17, 1.03it/s] 7%|β | 772/11346 [12:35<2:51:17, 1.03it/s] 7%|β | 773/11346 [12:36<2:51:16, 1.03it/s] 7%|β | 774/11346 [12:37<2:51:12, 1.03it/s] 7%|β | 775/11346 [12:38<2:51:12, 1.03it/s] 7%|β | 776/11346 [12:39<2:51:08, 1.03it/s] 7%|β | 777/11346 [12:39<2:51:11, 1.03it/s] 7%|β | 778/11346 [12:40<2:51:10, 1.03it/s] 7%|β | 779/11346 [12:41<2:51:10, 1.03it/s] 7%|β | 780/11346 [12:42<2:51:08, 1.03it/s] 7%|β | 781/11346 [12:43<2:51:05, 1.03it/s] 7%|β | 782/11346 [12:44<2:51:02, 1.03it/s] 7%|β | 783/11346 [12:45<2:51:01, 1.03it/s] 7%|β | 784/11346 [12:46<2:51:02, 1.03it/s] 7%|β | 785/11346 [12:47<2:51:05, 1.03it/s] 7%|β | 786/11346 [12:48<2:51:04, 1.03it/s] 7%|β | 787/11346 [12:49<2:51:02, 1.03it/s] 7%|β | 788/11346 [12:50<2:51:02, 1.03it/s] 7%|β | 789/11346 [12:51<2:51:01, 1.03it/s] 7%|β | 790/11346 [12:52<2:50:58, 1.03it/s] 7%|β | 791/11346 [12:53<2:51:00, 1.03it/s] 7%|β | 792/11346 [12:54<2:50:56, 1.03it/s] 7%|β | 793/11346 [12:55<2:50:56, 1.03it/s] 7%|β | 794/11346 [12:56<2:50:57, 1.03it/s] 7%|β | 795/11346 [12:57<2:50:53, 1.03it/s] 7%|β | 796/11346 [12:58<2:50:54, 1.03it/s] 7%|β | 797/11346 [12:59<2:50:55, 1.03it/s] 7%|β | 798/11346 [13:00<2:50:59, 1.03it/s] 7%|β | 799/11346 [13:01<2:50:54, 1.03it/s] 7%|β | 800/11346 [13:02<2:50:47, 1.03it/s] 7%|β | 801/11346 [13:03<2:50:48, 1.03it/s] 7%|β | 802/11346 [13:04<2:50:51, 1.03it/s] 7%|β | 803/11346 [13:05<2:50:51, 1.03it/s] 7%|β | 804/11346 [13:06<2:50:50, 1.03it/s] 7%|β | 805/11346 [13:07<2:50:49, 1.03it/s] 7%|β | 806/11346 [13:08<2:50:47, 1.03it/s] 7%|β | 807/11346 [13:09<2:50:44, 1.03it/s] 7%|β | 808/11346 [13:10<2:50:40, 1.03it/s] 7%|β | 809/11346 [13:11<2:50:35, 1.03it/s] 7%|β | 810/11346 [13:12<2:50:41, 1.03it/s] 7%|β | 811/11346 [13:13<2:50:39, 1.03it/s] 7%|β | 812/11346 [13:13<2:50:37, 1.03it/s] 7%|β | 813/11346 [13:14<2:50:35, 1.03it/s] 7%|β | 814/11346 [13:15<2:50:35, 1.03it/s] 7%|β | 815/11346 [13:16<2:50:42, 1.03it/s] 7%|β | 816/11346 [13:17<2:50:37, 1.03it/s] 7%|β | 817/11346 [13:18<2:50:36, 1.03it/s] 7%|β | 818/11346 [13:19<2:50:35, 1.03it/s] 7%|β | 819/11346 [13:20<2:50:33, 1.03it/s] 7%|β | 820/11346 [13:21<2:50:35, 1.03it/s] 7%|β | 821/11346 [13:22<2:50:38, 1.03it/s] 7%|β | 822/11346 [13:23<2:50:32, 1.03it/s] 7%|β | 823/11346 [13:24<2:50:27, 1.03it/s] 7%|β | 824/11346 [13:25<2:50:24, 1.03it/s] 7%|β | 825/11346 [13:26<2:50:27, 1.03it/s] 7%|β | 826/11346 [13:27<2:50:27, 1.03it/s] 7%|β | 827/11346 [13:28<2:50:26, 1.03it/s] 7%|β | 828/11346 [13:29<2:50:33, 1.03it/s] 7%|β | 829/11346 [13:30<2:50:29, 1.03it/s] 7%|β | 830/11346 [13:31<2:50:24, 1.03it/s] 7%|β | 831/11346 [13:32<2:50:23, 1.03it/s] 7%|β | 832/11346 [13:33<2:50:24, 1.03it/s] 7%|β | 833/11346 [13:34<2:50:20, 1.03it/s] 7%|β | 834/11346 [13:35<2:50:16, 1.03it/s] 7%|β | 835/11346 [13:36<2:50:12, 1.03it/s] 7%|β | 836/11346 [13:37<2:50:16, 1.03it/s] 7%|β | 837/11346 [13:38<2:50:17, 1.03it/s] 7%|β | 838/11346 [13:39<2:50:15, 1.03it/s] 7%|β | 839/11346 [13:40<2:50:13, 1.03it/s] 7%|β | 840/11346 [13:41<2:50:10, 1.03it/s] 7%|β | 841/11346 [13:42<2:50:10, 1.03it/s] 7%|β | 842/11346 [13:43<2:50:10, 1.03it/s] 7%|β | 843/11346 [13:44<2:50:07, 1.03it/s] 7%|β | 844/11346 [13:45<2:50:02, 1.03it/s] 7%|β | 845/11346 [13:46<2:49:58, 1.03it/s] 7%|β | 846/11346 [13:47<2:50:00, 1.03it/s] 7%|β | 847/11346 [13:48<2:50:03, 1.03it/s] 7%|β | 848/11346 [13:48<2:50:03, 1.03it/s] 7%|β | 849/11346 [13:49<2:50:05, 1.03it/s] 7%|β | 850/11346 [13:50<2:50:01, 1.03it/s] 8%|β | 851/11346 [13:51<2:50:09, 1.03it/s] 8%|β | 852/11346 [13:52<2:50:04, 1.03it/s] 8%|β | 853/11346 [13:53<2:50:03, 1.03it/s] 8%|β | 854/11346 [13:54<2:50:04, 1.03it/s] 8%|β | 855/11346 [13:55<2:50:01, 1.03it/s] 8%|β | 856/11346 [13:56<2:49:57, 1.03it/s] 8%|β | 857/11346 [13:57<2:49:57, 1.03it/s] 8%|β | 858/11346 [13:58<2:49:55, 1.03it/s] 8%|β | 859/11346 [13:59<2:49:52, 1.03it/s] 8%|β | 860/11346 [14:00<2:49:51, 1.03it/s] 8%|β | 861/11346 [14:01<2:49:48, 1.03it/s] 8%|β | 862/11346 [14:02<2:49:46, 1.03it/s] 8%|β | 863/11346 [14:03<2:49:45, 1.03it/s] 8%|β | 864/11346 [14:04<2:49:47, 1.03it/s] 8%|β | 865/11346 [14:05<2:49:48, 1.03it/s] 8%|β | 866/11346 [14:06<2:49:48, 1.03it/s] 8%|β | 867/11346 [14:07<2:49:48, 1.03it/s] 8%|β | 868/11346 [14:08<2:49:51, 1.03it/s] 8%|β | 869/11346 [14:09<2:49:48, 1.03it/s] 8%|β | 870/11346 [14:10<2:49:48, 1.03it/s] 8%|β | 871/11346 [14:11<2:49:43, 1.03it/s] 8%|β | 872/11346 [14:12<2:49:38, 1.03it/s] 8%|β | 873/11346 [14:13<2:49:38, 1.03it/s] 8%|β | 874/11346 [14:14<2:49:41, 1.03it/s] 8%|β | 875/11346 [14:15<2:49:38, 1.03it/s] 8%|β | 876/11346 [14:16<2:49:35, 1.03it/s] 8%|β | 877/11346 [14:17<2:49:34, 1.03it/s] 8%|β | 878/11346 [14:18<2:49:31, 1.03it/s] 8%|β | 879/11346 [14:19<2:49:34, 1.03it/s] 8%|β | 880/11346 [14:20<2:49:32, 1.03it/s] 8%|β | 881/11346 [14:21<2:49:32, 1.03it/s] 8%|β | 882/11346 [14:22<2:49:39, 1.03it/s] 8%|β | 883/11346 [14:23<2:49:32, 1.03it/s] 8%|β | 884/11346 [14:23<2:49:25, 1.03it/s] 8%|β | 885/11346 [14:24<2:49:24, 1.03it/s] 8%|β | 886/11346 [14:25<2:49:23, 1.03it/s] 8%|β | 887/11346 [14:26<2:49:24, 1.03it/s] 8%|β | 888/11346 [14:27<2:49:25, 1.03it/s] 8%|β | 889/11346 [14:28<2:49:21, 1.03it/s] 8%|β | 890/11346 [14:29<2:49:17, 1.03it/s] 8%|β | 891/11346 [14:30<2:49:20, 1.03it/s] 8%|β | 892/11346 [14:31<2:49:22, 1.03it/s] 8%|β | 893/11346 [14:32<2:49:17, 1.03it/s] 8%|β | 894/11346 [14:33<2:49:19, 1.03it/s] 8%|β | 895/11346 [14:34<2:49:22, 1.03it/s] 8%|β | 896/11346 [14:35<2:49:19, 1.03it/s] 8%|β | 897/11346 [14:36<2:49:17, 1.03it/s] 8%|β | 898/11346 [14:37<2:49:24, 1.03it/s] 8%|β | 899/11346 [14:38<2:49:20, 1.03it/s] 8%|β | 900/11346 [14:39<2:49:14, 1.03it/s] 8%|β | 901/11346 [14:40<2:49:16, 1.03it/s] 8%|β | 902/11346 [14:41<2:49:12, 1.03it/s] 8%|β | 903/11346 [14:42<2:49:08, 1.03it/s] 8%|β | 904/11346 [14:43<2:49:13, 1.03it/s] 8%|β | 905/11346 [14:44<2:49:17, 1.03it/s] 8%|β | 906/11346 [14:45<2:49:15, 1.03it/s] 8%|β | 907/11346 [14:46<2:49:08, 1.03it/s] 8%|β | 908/11346 [14:47<2:49:09, 1.03it/s] 8%|β | 909/11346 [14:48<2:49:06, 1.03it/s] 8%|β | 910/11346 [14:49<2:49:07, 1.03it/s] 8%|β | 911/11346 [14:50<2:49:04, 1.03it/s] 8%|β | 912/11346 [14:51<2:49:13, 1.03it/s] 8%|β | 913/11346 [14:52<2:49:08, 1.03it/s] 8%|β | 914/11346 [14:53<2:49:06, 1.03it/s] 8%|β | 915/11346 [14:54<2:49:03, 1.03it/s] 8%|β | 916/11346 [14:55<2:49:04, 1.03it/s] 8%|β | 917/11346 [14:56<2:49:02, 1.03it/s] 8%|β | 918/11346 [14:57<2:49:00, 1.03it/s] 8%|β | 919/11346 [14:58<2:48:58, 1.03it/s] 8%|β | 920/11346 [14:58<2:49:00, 1.03it/s] 8%|β | 921/11346 [14:59<2:48:58, 1.03it/s] 8%|β | 922/11346 [15:00<2:49:00, 1.03it/s] 8%|β | 923/11346 [15:01<2:49:00, 1.03it/s] 8%|β | 924/11346 [15:02<2:48:57, 1.03it/s] 8%|β | 925/11346 [15:03<2:48:52, 1.03it/s] 8%|β | 926/11346 [15:04<2:48:47, 1.03it/s] 8%|β | 927/11346 [15:05<2:48:45, 1.03it/s] 8%|β | 928/11346 [15:06<2:48:44, 1.03it/s] 8%|β | 929/11346 [15:07<2:48:45, 1.03it/s] 8%|β | 930/11346 [15:08<2:48:47, 1.03it/s] 8%|β | 931/11346 [15:09<2:48:46, 1.03it/s] 8%|β | 932/11346 [15:10<2:48:43, 1.03it/s] 8%|β | 933/11346 [15:11<2:48:43, 1.03it/s] 8%|β | 934/11346 [15:12<2:48:42, 1.03it/s] 8%|β | 935/11346 [15:13<2:48:41, 1.03it/s] 8%|β | 936/11346 [15:14<2:48:37, 1.03it/s] 8%|β | 937/11346 [15:15<2:48:32, 1.03it/s] 8%|β | 938/11346 [15:16<2:48:42, 1.03it/s] 8%|β | 939/11346 [15:17<2:48:41, 1.03it/s] 8%|β | 940/11346 [15:18<2:48:38, 1.03it/s] 8%|β | 941/11346 [15:19<2:48:35, 1.03it/s] 8%|β | 942/11346 [15:20<2:48:35, 1.03it/s] 8%|β | 943/11346 [15:21<2:48:30, 1.03it/s] 8%|β | 944/11346 [15:22<2:48:26, 1.03it/s] 8%|β | 945/11346 [15:23<2:48:24, 1.03it/s] 8%|β | 946/11346 [15:24<2:48:26, 1.03it/s] 8%|β | 947/11346 [15:25<2:48:34, 1.03it/s] 8%|β | 948/11346 [15:26<2:48:28, 1.03it/s] 8%|β | 949/11346 [15:27<2:48:28, 1.03it/s] 8%|β | 950/11346 [15:28<2:48:30, 1.03it/s] 8%|β | 951/11346 [15:29<2:48:30, 1.03it/s] 8%|β | 952/11346 [15:30<2:48:31, 1.03it/s] 8%|β | 953/11346 [15:31<2:48:28, 1.03it/s] 8%|β | 954/11346 [15:32<2:48:31, 1.03it/s] 8%|β | 955/11346 [15:33<2:48:25, 1.03it/s] 8%|β | 956/11346 [15:33<2:48:19, 1.03it/s] 8%|β | 957/11346 [15:34<2:48:20, 1.03it/s] 8%|β | 958/11346 [15:35<2:48:17, 1.03it/s] 8%|β | 959/11346 [15:36<2:48:16, 1.03it/s] 8%|β | 960/11346 [15:37<2:48:15, 1.03it/s] 8%|β | 961/11346 [15:38<2:48:15, 1.03it/s] 8%|β | 962/11346 [15:39<2:48:13, 1.03it/s] 8%|β | 963/11346 [15:40<2:48:11, 1.03it/s] 8%|β | 964/11346 [15:41<2:48:13, 1.03it/s] 9%|β | 965/11346 [15:42<2:48:12, 1.03it/s] 9%|β | 966/11346 [15:43<2:48:09, 1.03it/s] 9%|β | 967/11346 [15:44<2:48:09, 1.03it/s] 9%|β | 968/11346 [15:45<2:48:11, 1.03it/s] 9%|β | 969/11346 [15:46<2:48:09, 1.03it/s] 9%|β | 970/11346 [15:47<2:48:04, 1.03it/s] 9%|β | 971/11346 [15:48<2:48:03, 1.03it/s] 9%|β | 972/11346 [15:49<2:48:06, 1.03it/s] 9%|β | 973/11346 [15:50<2:48:06, 1.03it/s] 9%|β | 974/11346 [15:51<2:48:00, 1.03it/s] 9%|β | 975/11346 [15:52<2:48:02, 1.03it/s] 9%|β | 976/11346 [15:53<2:48:03, 1.03it/s] 9%|β | 977/11346 [15:54<2:48:03, 1.03it/s] 9%|β | 978/11346 [15:55<2:47:59, 1.03it/s] 9%|β | 979/11346 [15:56<2:47:59, 1.03it/s] 9%|β | 980/11346 [15:57<2:47:57, 1.03it/s] 9%|β | 981/11346 [15:58<2:47:51, 1.03it/s] 9%|β | 982/11346 [15:59<2:47:47, 1.03it/s] 9%|β | 983/11346 [16:00<2:47:45, 1.03it/s] 9%|β | 984/11346 [16:01<2:47:51, 1.03it/s] 9%|β | 985/11346 [16:02<2:47:50, 1.03it/s] 9%|β | 986/11346 [16:03<2:47:49, 1.03it/s] 9%|β | 987/11346 [16:04<2:47:50, 1.03it/s] 9%|β | 988/11346 [16:05<2:47:47, 1.03it/s] 9%|β | 989/11346 [16:06<2:47:46, 1.03it/s] 9%|β | 990/11346 [16:07<2:47:42, 1.03it/s] 9%|β | 991/11346 [16:08<2:47:49, 1.03it/s] 9%|β | 992/11346 [16:08<2:47:49, 1.03it/s] 9%|β | 993/11346 [16:09<2:47:48, 1.03it/s] 9%|β | 994/11346 [16:10<2:47:55, 1.03it/s] 9%|β | 995/11346 [16:11<2:47:53, 1.03it/s] 9%|β | 996/11346 [16:12<2:47:48, 1.03it/s] 9%|β | 997/11346 [16:13<2:47:48, 1.03it/s] 9%|β | 998/11346 [16:14<2:47:47, 1.03it/s] 9%|β | 999/11346 [16:15<2:47:44, 1.03it/s] 9%|β | 1000/11346 [16:16<2:47:39, 1.03it/s] 9%|β | 1000/11346 [16:16<2:47:39, 1.03it/s][INFO|trainer.py:3662] 2024-06-05 03:21:57,117 >> ***** Running Evaluation ***** [INFO|trainer.py:3664] 2024-06-05 03:21:57,117 >> Num examples = 1840 [INFO|trainer.py:3667] 2024-06-05 03:21:57,117 >> 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][A 5%|β | 2/39 [00:01<00:27, 1.34it/s][A 8%|β | 3/39 [00:02<00:37, 1.05s/it][A 10%|β | 4/39 [00:04<00:42, 1.22s/it][A 13%|ββ | 5/39 [00:05<00:44, 1.31s/it][A 15%|ββ | 6/39 [00:07<00:45, 1.37s/it][A 18%|ββ | 7/39 [00:08<00:44, 1.41s/it][A 21%|ββ | 8/39 [00:10<00:44, 1.43s/it][A 23%|βββ | 9/39 [00:11<00:43, 1.45s/it][A 26%|βββ | 10/39 [00:13<00:42, 1.46s/it][A 28%|βββ | 11/39 [00:14<00:41, 1.47s/it][A 31%|βββ | 12/39 [00:16<00:39, 1.47s/it][A 33%|ββββ | 13/39 [00:17<00:38, 1.48s/it][A 36%|ββββ | 14/39 [00:19<00:36, 1.48s/it][A 38%|ββββ | 15/39 [00:20<00:35, 1.48s/it][A 41%|ββββ | 16/39 [00:22<00:34, 1.48s/it][A 44%|βββββ | 17/39 [00:23<00:32, 1.48s/it][A 46%|βββββ | 18/39 [00:25<00:31, 1.48s/it][A 49%|βββββ | 19/39 [00:26<00:29, 1.48s/it][A 51%|ββββββ | 20/39 [00:28<00:28, 1.48s/it][A 54%|ββββββ | 21/39 [00:29<00:26, 1.48s/it][A 56%|ββββββ | 22/39 [00:31<00:25, 1.48s/it][A 59%|ββββββ | 23/39 [00:32<00:23, 1.48s/it][A 62%|βββββββ | 24/39 [00:34<00:22, 1.48s/it][A 64%|βββββββ | 25/39 [00:35<00:20, 1.48s/it][A 67%|βββββββ | 26/39 [00:37<00:19, 1.48s/it][A 69%|βββββββ | 27/39 [00:38<00:17, 1.48s/it][A 72%|ββββββββ | 28/39 [00:40<00:16, 1.48s/it][A 74%|ββββββββ | 29/39 [00:41<00:14, 1.48s/it][A 77%|ββββββββ | 30/39 [00:43<00:13, 1.48s/it][A 79%|ββββββββ | 31/39 [00:44<00:11, 1.48s/it][A 82%|βββββββββ | 32/39 [00:46<00:10, 1.48s/it][A 85%|βββββββββ | 33/39 [00:47<00:08, 1.48s/it][A 87%|βββββββββ | 34/39 [00:48<00:07, 1.48s/it][A 90%|βββββββββ | 35/39 [00:50<00:05, 1.48s/it][A 92%|ββββββββββ| 36/39 [00:51<00:04, 1.48s/it][A 95%|ββββββββββ| 37/39 [00:53<00:02, 1.48s/it][A 97%|ββββββββββ| 38/39 [00:54<00:01, 1.46s/it][A 100%|ββββββββββ| 39/39 [00:55<00:00, 1.16s/it][A [A 9%|β | 1000/11346 [17:30<2:47:39, 1.03it/s] 100%|ββββββββββ| 39/39 [01:12<00:00, 1.16s/it][A [A[INFO|trainer.py:3353] 2024-06-05 03:23:11,169 >> Saving model checkpoint to ./training_outputs_job_117568_1_05-06_03-05/checkpoint-1000 [INFO|configuration_utils.py:471] 2024-06-05 03:23:11,183 >> Configuration saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-1000/config.json [INFO|configuration_utils.py:705] 2024-06-05 03:23:11,189 >> Configuration saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-1000/generation_config.json [INFO|modeling_utils.py:2592] 2024-06-05 03:23:12,091 >> Model weights saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-1000/model.safetensors [INFO|tokenization_utils_base.py:2503] 2024-06-05 03:23:12,105 >> tokenizer config file saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-1000/tokenizer_config.json [INFO|tokenization_utils_base.py:2512] 2024-06-05 03:23:12,110 >> Special tokens file saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-1000/special_tokens_map.json [INFO|tokenization_utils_base.py:2503] 2024-06-05 03:23:14,277 >> tokenizer config file saved in ./training_outputs_job_117568_1_05-06_03-05/tokenizer_config.json [INFO|tokenization_utils_base.py:2512] 2024-06-05 03:23:14,282 >> Special tokens file saved in ./training_outputs_job_117568_1_05-06_03-05/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 ' |