2024-03-25 16:32:10,060 INFO    MainThread:34 [wandb_setup.py:_flush():76] Current SDK version is 0.16.3
2024-03-25 16:32:10,060 INFO    MainThread:34 [wandb_setup.py:_flush():76] Configure stats pid to 34
2024-03-25 16:32:10,060 INFO    MainThread:34 [wandb_setup.py:_flush():76] Loading settings from /root/.config/wandb/settings
2024-03-25 16:32:10,061 INFO    MainThread:34 [wandb_setup.py:_flush():76] Loading settings from /kaggle/working/wandb/settings
2024-03-25 16:32:10,061 INFO    MainThread:34 [wandb_setup.py:_flush():76] Loading settings from environment variables: {}
2024-03-25 16:32:10,061 INFO    MainThread:34 [wandb_setup.py:_flush():76] Applying setup settings: {'_disable_service': False}
2024-03-25 16:32:10,061 INFO    MainThread:34 [wandb_setup.py:_flush():76] Inferring run settings from compute environment: {'program': '<python with no main file>'}
2024-03-25 16:32:10,061 INFO    MainThread:34 [wandb_setup.py:_flush():76] Applying login settings: {'api_key': '***REDACTED***'}
2024-03-25 16:32:10,061 INFO    MainThread:34 [wandb_init.py:_log_setup():526] Logging user logs to /kaggle/working/wandb/run-20240325_163210-3h8l4wm4/logs/debug.log
2024-03-25 16:32:10,061 INFO    MainThread:34 [wandb_init.py:_log_setup():527] Logging internal logs to /kaggle/working/wandb/run-20240325_163210-3h8l4wm4/logs/debug-internal.log
2024-03-25 16:32:10,061 INFO    MainThread:34 [wandb_init.py:_jupyter_setup():472] configuring jupyter hooks <wandb.sdk.wandb_init._WandbInit object at 0x7fc9c40c1a50>
2024-03-25 16:32:10,061 INFO    MainThread:34 [wandb_init.py:init():566] calling init triggers
2024-03-25 16:32:10,061 INFO    MainThread:34 [wandb_init.py:init():573] wandb.init called with sweep_config: {}
config: {}
2024-03-25 16:32:10,062 INFO    MainThread:34 [wandb_init.py:init():616] starting backend
2024-03-25 16:32:10,062 INFO    MainThread:34 [wandb_init.py:init():620] setting up manager
2024-03-25 16:32:10,063 INFO    MainThread:34 [backend.py:_multiprocessing_setup():105] multiprocessing start_methods=fork,spawn,forkserver, using: spawn
2024-03-25 16:32:10,066 INFO    MainThread:34 [wandb_init.py:init():628] backend started and connected
2024-03-25 16:32:10,077 INFO    MainThread:34 [wandb_run.py:_label_probe_notebook():1295] probe notebook
2024-03-25 16:32:10,807 INFO    MainThread:34 [wandb_init.py:init():720] updated telemetry
2024-03-25 16:32:10,810 INFO    MainThread:34 [wandb_init.py:init():753] communicating run to backend with 90.0 second timeout
2024-03-25 16:32:11,061 INFO    MainThread:34 [wandb_run.py:_on_init():2262] communicating current version
2024-03-25 16:32:11,123 INFO    MainThread:34 [wandb_run.py:_on_init():2271] got version response upgrade_message: "wandb version 0.16.4 is available!  To upgrade, please run:\n $ pip install wandb --upgrade"

2024-03-25 16:32:11,124 INFO    MainThread:34 [wandb_init.py:init():804] starting run threads in backend
2024-03-25 16:32:17,070 ERROR   MainThread:34 [wandb_init.py:init():1204] error
Traceback (most recent call last):
  File "/opt/conda/lib/python3.10/site-packages/wandb/sdk/wandb_init.py", line 1176, in init
    run = wi.init()
  File "/opt/conda/lib/python3.10/site-packages/wandb/sdk/wandb_init.py", line 817, in init
    run_start_result = run_start_handle.wait(timeout=30)
  File "/opt/conda/lib/python3.10/site-packages/wandb/sdk/lib/mailbox.py", line 283, in wait
    found, abandoned = self._slot._get_and_clear(timeout=wait_timeout)
  File "/opt/conda/lib/python3.10/site-packages/wandb/sdk/lib/mailbox.py", line 130, in _get_and_clear
    if self._wait(timeout=timeout):
  File "/opt/conda/lib/python3.10/site-packages/wandb/sdk/lib/mailbox.py", line 126, in _wait
    return self._event.wait(timeout=timeout)
  File "/opt/conda/lib/python3.10/threading.py", line 607, in wait
    signaled = self._cond.wait(timeout)
  File "/opt/conda/lib/python3.10/threading.py", line 324, in wait
    gotit = waiter.acquire(True, timeout)
KeyboardInterrupt

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/opt/conda/lib/python3.10/site-packages/wandb/sdk/wandb_init.py", line 1184, in init
    getcaller()
  File "/opt/conda/lib/python3.10/site-packages/wandb/sdk/wandb_init.py", line 854, in getcaller
    src, line, func, stack = logger.findCaller(stack_info=True)
  File "/root/.local/lib/python3.10/site-packages/log.py", line 45, in findCaller
    traceback.print_stack(f, file=sio)
NameError: name 'traceback' is not defined
2024-03-25 16:38:05,376 INFO    MainThread:34 [wandb_setup.py:_flush():76] Current SDK version is 0.16.3
2024-03-25 16:38:05,376 INFO    MainThread:34 [wandb_setup.py:_flush():76] Configure stats pid to 34
2024-03-25 16:38:05,376 INFO    MainThread:34 [wandb_setup.py:_flush():76] Loading settings from /root/.config/wandb/settings
2024-03-25 16:38:05,376 INFO    MainThread:34 [wandb_setup.py:_flush():76] Loading settings from /kaggle/working/wandb/settings
2024-03-25 16:38:05,376 INFO    MainThread:34 [wandb_setup.py:_flush():76] Loading settings from environment variables: {}
2024-03-25 16:38:05,376 INFO    MainThread:34 [wandb_setup.py:_flush():76] Applying setup settings: {'_disable_service': False}
2024-03-25 16:38:05,376 INFO    MainThread:34 [wandb_setup.py:_flush():76] Inferring run settings from compute environment: {'program': '<python with no main file>'}
2024-03-25 16:38:05,376 INFO    MainThread:34 [wandb_setup.py:_flush():76] Applying login settings: {'api_key': '***REDACTED***'}
2024-03-25 16:38:05,376 INFO    MainThread:34 [wandb_init.py:_log_setup():526] Logging user logs to /kaggle/working/wandb/run-20240325_163805-af3v50r7/logs/debug.log
2024-03-25 16:38:05,377 INFO    MainThread:34 [wandb_init.py:_log_setup():527] Logging internal logs to /kaggle/working/wandb/run-20240325_163805-af3v50r7/logs/debug-internal.log
2024-03-25 16:38:05,377 INFO    MainThread:34 [wandb_init.py:init():566] calling init triggers
2024-03-25 16:38:05,377 INFO    MainThread:34 [wandb_init.py:init():573] wandb.init called with sweep_config: {}
config: {}
2024-03-25 16:38:05,377 INFO    MainThread:34 [wandb_init.py:init():616] starting backend
2024-03-25 16:38:05,377 INFO    MainThread:34 [wandb_init.py:init():620] setting up manager
2024-03-25 16:38:05,379 INFO    MainThread:34 [backend.py:_multiprocessing_setup():105] multiprocessing start_methods=fork,spawn,forkserver, using: spawn
2024-03-25 16:38:05,380 INFO    MainThread:34 [wandb_init.py:init():628] backend started and connected
2024-03-25 16:38:05,393 INFO    MainThread:34 [wandb_run.py:_label_probe_notebook():1295] probe notebook
2024-03-25 16:38:06,176 INFO    MainThread:34 [wandb_init.py:init():720] updated telemetry
2024-03-25 16:38:06,176 INFO    MainThread:34 [wandb_init.py:init():753] communicating run to backend with 90.0 second timeout
2024-03-25 16:38:06,413 INFO    MainThread:34 [wandb_run.py:_on_init():2262] communicating current version
2024-03-25 16:38:36,418 INFO    MainThread:34 [wandb_init.py:init():804] starting run threads in backend
2024-03-25 16:39:06,452 INFO    MainThread:34 [wandb_run.py:_console_start():2241] atexit reg
2024-03-25 16:39:06,452 INFO    MainThread:34 [wandb_run.py:_redirect():2096] redirect: wrap_raw
2024-03-25 16:39:06,453 INFO    MainThread:34 [wandb_run.py:_redirect():2161] Wrapping output streams.
2024-03-25 16:39:06,453 INFO    MainThread:34 [wandb_run.py:_redirect():2186] Redirects installed.
2024-03-25 16:39:06,455 INFO    MainThread:34 [wandb_init.py:init():847] run started, returning control to user process
2024-03-25 16:39:06,464 INFO    MainThread:34 [wandb_run.py:_config_callback():1343] config_cb None None {'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': 'float32', 'use_bfloat16': False, 'tf_legacy_loss': False, 'pruned_heads': {}, 'tie_word_embeddings': True, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': False, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'max_length': 20, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 'num_beam_groups': 1, 'diversity_penalty': 0.0, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'typical_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'no_repeat_ngram_size': 0, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 'remove_invalid_values': False, 'exponential_decay_length_penalty': None, 'suppress_tokens': None, 'begin_suppress_tokens': None, 'architectures': ['SegformerForImageClassification'], 'finetuning_task': None, 'id2label': {0: 'unlabeled', 1: 'paved-area', 2: 'dirt', 3: 'grass', 4: 'gravel', 5: 'water', 6: 'rocks', 7: 'pool', 8: 'vegetation', 9: 'roof', 10: 'wall', 11: 'window', 12: 'door', 13: 'fence', 14: 'fence-pole', 15: 'person', 16: 'dog', 17: 'car', 18: 'bicycle', 19: 'tree', 20: 'bald-tree', 21: 'ar-marker', 22: 'obstacle', 23: 'conflicting'}, 'label2id': {'unlabeled': 0, 'paved-area': 1, 'dirt': 2, 'grass': 3, 'gravel': 4, 'water': 5, 'rocks': 6, 'pool': 7, 'vegetation': 8, 'roof': 9, 'wall': 10, 'window': 11, 'door': 12, 'fence': 13, 'fence-pole': 14, 'person': 15, 'dog': 16, 'car': 17, 'bicycle': 18, 'tree': 19, 'bald-tree': 20, 'ar-marker': 21, 'obstacle': 22, 'conflicting': 23}, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': None, 'pad_token_id': None, 'eos_token_id': None, 'sep_token_id': None, 'decoder_start_token_id': None, 'task_specific_params': None, 'problem_type': None, '_name_or_path': 'nvidia/mit-b0', 'transformers_version': '4.38.1', 'downsampling_rates': [1, 4, 8, 16], 'image_size': 224, 'model_type': 'segformer', 'num_channels': 3, 'num_encoder_blocks': 4, 'depths': [2, 2, 2, 2], 'sr_ratios': [8, 4, 2, 1], 'hidden_sizes': [32, 64, 160, 256], 'patch_sizes': [7, 3, 3, 3], 'strides': [4, 2, 2, 2], 'mlp_ratios': [4, 4, 4, 4], 'num_attention_heads': [1, 2, 5, 8], 'hidden_act': 'gelu', 'hidden_dropout_prob': 0.0, 'attention_probs_dropout_prob': 0.0, 'classifier_dropout_prob': 0.1, 'initializer_range': 0.02, 'drop_path_rate': 0.1, 'layer_norm_eps': 1e-06, 'decoder_hidden_size': 256, 'reshape_last_stage': True, 'semantic_loss_ignore_index': 255, 'output_dir': '/kaggle/working/', 'overwrite_output_dir': False, 'do_train': False, 'do_eval': True, 'do_predict': False, 'evaluation_strategy': 'steps', 'prediction_loss_only': False, 'per_device_train_batch_size': 24, 'per_device_eval_batch_size': 8, 'per_gpu_train_batch_size': None, 'per_gpu_eval_batch_size': None, 'gradient_accumulation_steps': 1, 'eval_accumulation_steps': None, 'eval_delay': 0, 'learning_rate': 5e-05, 'weight_decay': 0.0, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 1.0, 'num_train_epochs': 50, 'max_steps': -1, 'lr_scheduler_type': 'linear', 'lr_scheduler_kwargs': {}, 'warmup_ratio': 0.0, 'warmup_steps': 0, 'log_level': 'passive', 'log_level_replica': 'warning', 'log_on_each_node': True, 'logging_dir': '/kaggle/working/runs/Mar25_16-38-00_a0cda30bfe48', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 20, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 500, 'save_total_limit': 4, 'save_safetensors': True, 'save_on_each_node': False, 'save_only_model': False, 'no_cuda': False, 'use_cpu': False, 'use_mps_device': False, 'seed': 42, 'data_seed': None, 'jit_mode_eval': False, 'use_ipex': False, 'bf16': False, 'fp16': False, 'fp16_opt_level': 'O1', 'half_precision_backend': 'auto', 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': None, 'local_rank': 0, 'ddp_backend': None, 'tpu_num_cores': None, 'tpu_metrics_debug': False, 'debug': [], 'dataloader_drop_last': False, 'eval_steps': 20, 'dataloader_num_workers': 0, 'dataloader_prefetch_factor': None, 'past_index': -1, 'run_name': '/kaggle/working/', 'disable_tqdm': False, 'remove_unused_columns': True, 'label_names': None, 'load_best_model_at_end': True, 'metric_for_best_model': 'loss', 'greater_is_better': False, 'ignore_data_skip': False, 'fsdp': [], 'fsdp_min_num_params': 0, 'fsdp_config': {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, 'fsdp_transformer_layer_cls_to_wrap': None, 'accelerator_config': {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True}, 'deepspeed': None, 'label_smoothing_factor': 0.0, 'optim': 'adamw_torch', 'optim_args': None, 'adafactor': False, 'group_by_length': False, 'length_column_name': 'length', 'report_to': ['tensorboard', 'wandb'], 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'dataloader_pin_memory': False, 'dataloader_persistent_workers': False, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': False, 'resume_from_checkpoint': None, 'hub_model_id': 'Thalirajesh/Aerial-Drone-Image-Segmentation', 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': False, 'hub_always_push': False, 'gradient_checkpointing': False, 'gradient_checkpointing_kwargs': None, 'include_inputs_for_metrics': False, 'fp16_backend': 'auto', 'push_to_hub_model_id': None, 'push_to_hub_organization': None, 'push_to_hub_token': '<PUSH_TO_HUB_TOKEN>', 'mp_parameters': '', 'auto_find_batch_size': False, 'full_determinism': False, 'torchdynamo': None, 'ray_scope': 'last', 'ddp_timeout': 1800, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'dispatch_batches': None, 'split_batches': None, 'include_tokens_per_second': False, 'include_num_input_tokens_seen': False, 'neftune_noise_alpha': None}