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-2024-11-27 17:29:08,663 INFO    MainThread:30 [wandb_run.py:_config_callback():1387] config_cb model/num_parameters 41501895 None
-2024-11-27 17:29:16,918 INFO    MainThread:30 [jupyter.py:save_ipynb():387] not saving jupyter notebook
-2024-11-27 17:29:16,918 INFO    MainThread:30 [wandb_init.py:_pause_backend():444] pausing backend
-2024-11-27 17:31:48,418 INFO    MainThread:30 [wandb_init.py:_resume_backend():449] resuming backend
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-2024-11-27 17:31:48,420 INFO    MainThread:30 [wandb_init.py:_pause_backend():444] pausing backend
-2024-11-27 17:32:08,301 INFO    MainThread:30 [wandb_init.py:_resume_backend():449] resuming backend
-2024-11-27 17:32:08,304 INFO    MainThread:30 [jupyter.py:save_ipynb():387] not saving jupyter notebook
-2024-11-27 17:32:08,304 INFO    MainThread:30 [wandb_init.py:_pause_backend():444] pausing backend
-2024-11-27 17:32:09,217 INFO    MainThread:30 [wandb_init.py:_resume_backend():449] resuming backend
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-2024-11-27 17:32:09,365 INFO    MainThread:30 [wandb_init.py:_pause_backend():444] pausing backend
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-2024-11-27 17:32:11,093 INFO    MainThread:30 [wandb_run.py:_config_callback():1387] config_cb None None {'use_timm_backbone': True, 'backbone_config': None, 'num_channels': 3, 'num_queries': 100, 'd_model': 256, 'encoder_ffn_dim': 2048, 'encoder_layers': 6, 'encoder_attention_heads': 8, 'decoder_ffn_dim': 2048, 'decoder_layers': 6, 'decoder_attention_heads': 8, 'dropout': 0.1, 'attention_dropout': 0.0, 'activation_dropout': 0.0, 'activation_function': 'relu', 'init_std': 0.02, 'init_xavier_std': 1.0, 'encoder_layerdrop': 0.0, 'decoder_layerdrop': 0.0, 'num_hidden_layers': 6, 'auxiliary_loss': False, 'position_embedding_type': 'sine', 'backbone': 'resnet50', 'use_pretrained_backbone': True, 'backbone_kwargs': {'output_stride': 16, 'out_indices': [1, 2, 3, 4], 'in_chans': 3}, 'dilation': True, 'class_cost': 1, 'bbox_cost': 5, 'giou_cost': 2, 'mask_loss_coefficient': 1, 'dice_loss_coefficient': 1, 'bbox_loss_coefficient': 5, 'giou_loss_coefficient': 2, 'eos_coefficient': 0.1, 'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': None, 'use_bfloat16': False, 'tf_legacy_loss': False, 'pruned_heads': {}, 'tie_word_embeddings': True, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': True, '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': ['DetrForObjectDetection'], 'finetuning_task': None, 'id2label': {0: 'object', 1: 'balloon'}, 'label2id': {'object': 0, 'balloon': 1}, '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': 'facebook/detr-resnet-50-dc5', '_attn_implementation_autoset': True, 'transformers_version': '4.46.3', 'classifier_dropout': 0.0, 'max_position_embeddings': 1024, 'model_type': 'detr', 'scale_embedding': False, 'output_dir': '.', 'overwrite_output_dir': False, 'do_train': False, 'do_eval': True, 'do_predict': False, 'eval_strategy': 'steps', 'prediction_loss_only': False, 'per_device_train_batch_size': 4, 'per_device_eval_batch_size': 4, 'per_gpu_train_batch_size': None, 'per_gpu_eval_batch_size': None, 'gradient_accumulation_steps': 1, 'eval_accumulation_steps': None, 'eval_delay': 0, 'torch_empty_cache_steps': None, 'learning_rate': 3e-05, 'weight_decay': 0.0001, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 1.0, 'num_train_epochs': 3.0, 'max_steps': 500, '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': './runs/Nov27_17-32-09_f5b68522d064', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 5, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 10, 'save_total_limit': 2, 'save_safetensors': True, 'save_on_each_node': False, 'save_only_model': False, 'restore_callback_states_from_checkpoint': 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': True, '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': 10, 'dataloader_num_workers': 0, 'dataloader_prefetch_factor': None, 'past_index': -1, 'run_name': '.', 'disable_tqdm': False, 'remove_unused_columns': False, 'label_names': None, 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, '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, 'non_blocking': False, 'gradient_accumulation_kwargs': None}, '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': ['wandb'], 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'dataloader_pin_memory': True, 'dataloader_persistent_workers': False, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': True, 'resume_from_checkpoint': None, 'hub_model_id': None, '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, 'include_for_metrics': [], 'eval_do_concat_batches': True, 'fp16_backend': 'auto', 'evaluation_strategy': 'steps', '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, 'optim_target_modules': None, 'batch_eval_metrics': True, 'eval_on_start': False, 'use_liger_kernel': False, 'eval_use_gather_object': False, 'average_tokens_across_devices': False}
-2024-11-27 17:32:11,098 INFO    MainThread:30 [wandb_config.py:__setitem__():154] config set model/num_parameters = 41501895 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x7a7699a6ddb0>>
-2024-11-27 17:32:11,098 INFO    MainThread:30 [wandb_run.py:_config_callback():1387] config_cb model/num_parameters 41501895 None
-2024-11-27 17:32:18,716 INFO    MainThread:30 [jupyter.py:save_ipynb():387] not saving jupyter notebook
-2024-11-27 17:32:18,716 INFO    MainThread:30 [wandb_init.py:_pause_backend():444] pausing backend
-2024-11-27 17:32:36,579 INFO    MainThread:30 [wandb_init.py:_resume_backend():449] resuming backend
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-2024-11-27 17:32:36,581 INFO    MainThread:30 [wandb_init.py:_pause_backend():444] pausing backend
-2024-11-27 17:32:41,335 INFO    MainThread:30 [wandb_init.py:_resume_backend():449] resuming backend
-2024-11-27 17:32:41,338 INFO    MainThread:30 [jupyter.py:save_ipynb():387] not saving jupyter notebook
-2024-11-27 17:32:41,338 INFO    MainThread:30 [wandb_init.py:_pause_backend():444] pausing backend
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-2024-11-27 17:32:42,768 INFO    MainThread:30 [wandb_init.py:_resume_backend():449] resuming backend
-2024-11-27 17:32:42,771 INFO    MainThread:30 [jupyter.py:save_ipynb():387] not saving jupyter notebook
-2024-11-27 17:32:42,771 INFO    MainThread:30 [wandb_init.py:_pause_backend():444] pausing backend
-2024-11-27 17:32:50,911 INFO    MainThread:30 [wandb_init.py:_resume_backend():449] resuming backend
-2024-11-27 17:32:51,710 INFO    MainThread:30 [wandb_run.py:_config_callback():1387] config_cb None None {'use_timm_backbone': True, 'backbone_config': None, 'num_channels': 3, 'num_queries': 100, 'd_model': 256, 'encoder_ffn_dim': 2048, 'encoder_layers': 6, 'encoder_attention_heads': 8, 'decoder_ffn_dim': 2048, 'decoder_layers': 6, 'decoder_attention_heads': 8, 'dropout': 0.1, 'attention_dropout': 0.0, 'activation_dropout': 0.0, 'activation_function': 'relu', 'init_std': 0.02, 'init_xavier_std': 1.0, 'encoder_layerdrop': 0.0, 'decoder_layerdrop': 0.0, 'num_hidden_layers': 6, 'auxiliary_loss': False, 'position_embedding_type': 'sine', 'backbone': 'resnet50', 'use_pretrained_backbone': True, 'backbone_kwargs': {'output_stride': 16, 'out_indices': [1, 2, 3, 4], 'in_chans': 3}, 'dilation': True, 'class_cost': 1, 'bbox_cost': 5, 'giou_cost': 2, 'mask_loss_coefficient': 1, 'dice_loss_coefficient': 1, 'bbox_loss_coefficient': 5, 'giou_loss_coefficient': 2, 'eos_coefficient': 0.1, 'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': None, 'use_bfloat16': False, 'tf_legacy_loss': False, 'pruned_heads': {}, 'tie_word_embeddings': True, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': True, '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': ['DetrForObjectDetection'], 'finetuning_task': None, 'id2label': {0: 'object', 1: 'balloon'}, 'label2id': {'object': 0, 'balloon': 1}, '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': 'facebook/detr-resnet-50-dc5', '_attn_implementation_autoset': True, 'transformers_version': '4.46.3', 'classifier_dropout': 0.0, 'max_position_embeddings': 1024, 'model_type': 'detr', 'scale_embedding': False, 'output_dir': '.', 'overwrite_output_dir': False, 'do_train': False, 'do_eval': True, 'do_predict': False, 'eval_strategy': 'steps', 'prediction_loss_only': False, 'per_device_train_batch_size': 4, 'per_device_eval_batch_size': 4, 'per_gpu_train_batch_size': None, 'per_gpu_eval_batch_size': None, 'gradient_accumulation_steps': 1, 'eval_accumulation_steps': None, 'eval_delay': 0, 'torch_empty_cache_steps': None, 'learning_rate': 3e-05, 'weight_decay': 0.0001, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 1.0, 'num_train_epochs': 3.0, 'max_steps': 500, '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': './runs/Nov27_17-32-41_f5b68522d064', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 5, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 10, 'save_total_limit': 2, 'save_safetensors': True, 'save_on_each_node': False, 'save_only_model': False, 'restore_callback_states_from_checkpoint': 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': True, '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': 10, 'dataloader_num_workers': 0, 'dataloader_prefetch_factor': None, 'past_index': -1, 'run_name': '.', 'disable_tqdm': False, 'remove_unused_columns': False, 'label_names': None, 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, '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, 'non_blocking': False, 'gradient_accumulation_kwargs': None}, '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': ['wandb'], 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'dataloader_pin_memory': True, 'dataloader_persistent_workers': False, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': True, 'resume_from_checkpoint': None, 'hub_model_id': None, '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, 'include_for_metrics': [], 'eval_do_concat_batches': True, 'fp16_backend': 'auto', 'evaluation_strategy': 'steps', '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, 'optim_target_modules': None, 'batch_eval_metrics': True, 'eval_on_start': False, 'use_liger_kernel': False, 'eval_use_gather_object': False, 'average_tokens_across_devices': False}
-2024-11-27 17:32:51,714 INFO    MainThread:30 [wandb_config.py:__setitem__():154] config set model/num_parameters = 41501895 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x7a7699a6ddb0>>
-2024-11-27 17:32:51,715 INFO    MainThread:30 [wandb_run.py:_config_callback():1387] config_cb model/num_parameters 41501895 None
-2024-11-27 17:32:59,752 INFO    MainThread:30 [jupyter.py:save_ipynb():387] not saving jupyter notebook
-2024-11-27 17:32:59,752 INFO    MainThread:30 [wandb_init.py:_pause_backend():444] pausing backend
-2024-11-27 17:34:05,745 INFO    MainThread:30 [wandb_init.py:_resume_backend():449] resuming backend
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-2024-11-27 17:34:05,747 INFO    MainThread:30 [wandb_init.py:_pause_backend():444] pausing backend
-2024-11-27 17:34:10,314 INFO    MainThread:30 [wandb_init.py:_resume_backend():449] resuming backend
-2024-11-27 17:34:10,317 INFO    MainThread:30 [jupyter.py:save_ipynb():387] not saving jupyter notebook
-2024-11-27 17:34:10,317 INFO    MainThread:30 [wandb_init.py:_pause_backend():444] pausing backend
-2024-11-27 17:34:10,736 INFO    MainThread:30 [wandb_init.py:_resume_backend():449] resuming backend
-2024-11-27 17:34:10,868 INFO    MainThread:30 [jupyter.py:save_ipynb():387] not saving jupyter notebook
-2024-11-27 17:34:10,868 INFO    MainThread:30 [wandb_init.py:_pause_backend():444] pausing backend
-2024-11-27 17:34:11,196 INFO    MainThread:30 [wandb_init.py:_resume_backend():449] resuming backend
-2024-11-27 17:34:12,005 INFO    MainThread:30 [wandb_run.py:_config_callback():1387] config_cb None None {'use_timm_backbone': True, 'backbone_config': None, 'num_channels': 3, 'num_queries': 100, 'd_model': 256, 'encoder_ffn_dim': 2048, 'encoder_layers': 6, 'encoder_attention_heads': 8, 'decoder_ffn_dim': 2048, 'decoder_layers': 6, 'decoder_attention_heads': 8, 'dropout': 0.1, 'attention_dropout': 0.0, 'activation_dropout': 0.0, 'activation_function': 'relu', 'init_std': 0.02, 'init_xavier_std': 1.0, 'encoder_layerdrop': 0.0, 'decoder_layerdrop': 0.0, 'num_hidden_layers': 6, 'auxiliary_loss': False, 'position_embedding_type': 'sine', 'backbone': 'resnet50', 'use_pretrained_backbone': True, 'backbone_kwargs': {'output_stride': 16, 'out_indices': [1, 2, 3, 4], 'in_chans': 3}, 'dilation': True, 'class_cost': 1, 'bbox_cost': 5, 'giou_cost': 2, 'mask_loss_coefficient': 1, 'dice_loss_coefficient': 1, 'bbox_loss_coefficient': 5, 'giou_loss_coefficient': 2, 'eos_coefficient': 0.1, 'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': None, 'use_bfloat16': False, 'tf_legacy_loss': False, 'pruned_heads': {}, 'tie_word_embeddings': True, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': True, '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': ['DetrForObjectDetection'], 'finetuning_task': None, 'id2label': {0: 'object', 1: 'balloon'}, 'label2id': {'object': 0, 'balloon': 1}, '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': 'facebook/detr-resnet-50-dc5', '_attn_implementation_autoset': True, 'transformers_version': '4.46.3', 'classifier_dropout': 0.0, 'max_position_embeddings': 1024, 'model_type': 'detr', 'scale_embedding': False, 'output_dir': '.', 'overwrite_output_dir': False, 'do_train': False, 'do_eval': True, 'do_predict': False, 'eval_strategy': 'steps', 'prediction_loss_only': False, 'per_device_train_batch_size': 4, 'per_device_eval_batch_size': 4, 'per_gpu_train_batch_size': None, 'per_gpu_eval_batch_size': None, 'gradient_accumulation_steps': 1, 'eval_accumulation_steps': None, 'eval_delay': 0, 'torch_empty_cache_steps': None, 'learning_rate': 3e-05, 'weight_decay': 0.0001, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 1.0, 'num_train_epochs': 3.0, 'max_steps': 500, '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': './runs/Nov27_17-34-10_f5b68522d064', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 5, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 10, 'save_total_limit': 2, 'save_safetensors': True, 'save_on_each_node': False, 'save_only_model': False, 'restore_callback_states_from_checkpoint': 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': True, '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': 10, 'dataloader_num_workers': 0, 'dataloader_prefetch_factor': None, 'past_index': -1, 'run_name': '.', 'disable_tqdm': False, 'remove_unused_columns': False, 'label_names': None, 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, '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, 'non_blocking': False, 'gradient_accumulation_kwargs': None}, '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': ['wandb'], 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'dataloader_pin_memory': True, 'dataloader_persistent_workers': False, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': True, 'resume_from_checkpoint': None, 'hub_model_id': None, '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, 'include_for_metrics': [], 'eval_do_concat_batches': True, 'fp16_backend': 'auto', 'evaluation_strategy': 'steps', '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, 'optim_target_modules': None, 'batch_eval_metrics': True, 'eval_on_start': False, 'use_liger_kernel': False, 'eval_use_gather_object': False, 'average_tokens_across_devices': False}
-2024-11-27 17:34:12,009 INFO    MainThread:30 [wandb_config.py:__setitem__():154] config set model/num_parameters = 41501895 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x7a7699a6ddb0>>
-2024-11-27 17:34:12,010 INFO    MainThread:30 [wandb_run.py:_config_callback():1387] config_cb model/num_parameters 41501895 None
-2024-11-27 17:34:19,510 INFO    MainThread:30 [jupyter.py:save_ipynb():387] not saving jupyter notebook
-2024-11-27 17:34:19,510 INFO    MainThread:30 [wandb_init.py:_pause_backend():444] pausing backend
-2024-11-27 17:35:15,517 INFO    MainThread:30 [wandb_init.py:_resume_backend():449] resuming backend
-2024-11-27 17:35:15,519 INFO    MainThread:30 [jupyter.py:save_ipynb():387] not saving jupyter notebook
-2024-11-27 17:35:15,520 INFO    MainThread:30 [wandb_init.py:_pause_backend():444] pausing backend
-2024-11-27 17:35:19,372 INFO    MainThread:30 [wandb_init.py:_resume_backend():449] resuming backend
-2024-11-27 17:35:19,375 INFO    MainThread:30 [jupyter.py:save_ipynb():387] not saving jupyter notebook
-2024-11-27 17:35:19,375 INFO    MainThread:30 [wandb_init.py:_pause_backend():444] pausing backend
-2024-11-27 17:35:19,718 INFO    MainThread:30 [wandb_init.py:_resume_backend():449] resuming backend
-2024-11-27 17:35:19,857 INFO    MainThread:30 [jupyter.py:save_ipynb():387] not saving jupyter notebook
-2024-11-27 17:35:19,857 INFO    MainThread:30 [wandb_init.py:_pause_backend():444] pausing backend
-2024-11-27 17:35:21,000 INFO    MainThread:30 [wandb_init.py:_resume_backend():449] resuming backend
-2024-11-27 17:35:21,801 INFO    MainThread:30 [wandb_run.py:_config_callback():1387] config_cb None None {'use_timm_backbone': True, 'backbone_config': None, 'num_channels': 3, 'num_queries': 100, 'd_model': 256, 'encoder_ffn_dim': 2048, 'encoder_layers': 6, 'encoder_attention_heads': 8, 'decoder_ffn_dim': 2048, 'decoder_layers': 6, 'decoder_attention_heads': 8, 'dropout': 0.1, 'attention_dropout': 0.0, 'activation_dropout': 0.0, 'activation_function': 'relu', 'init_std': 0.02, 'init_xavier_std': 1.0, 'encoder_layerdrop': 0.0, 'decoder_layerdrop': 0.0, 'num_hidden_layers': 6, 'auxiliary_loss': False, 'position_embedding_type': 'sine', 'backbone': 'resnet50', 'use_pretrained_backbone': True, 'backbone_kwargs': {'output_stride': 16, 'out_indices': [1, 2, 3, 4], 'in_chans': 3}, 'dilation': True, 'class_cost': 1, 'bbox_cost': 5, 'giou_cost': 2, 'mask_loss_coefficient': 1, 'dice_loss_coefficient': 1, 'bbox_loss_coefficient': 5, 'giou_loss_coefficient': 2, 'eos_coefficient': 0.1, 'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': None, 'use_bfloat16': False, 'tf_legacy_loss': False, 'pruned_heads': {}, 'tie_word_embeddings': True, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': True, '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': ['DetrForObjectDetection'], 'finetuning_task': None, 'id2label': {0: 'object', 1: 'balloon'}, 'label2id': {'object': 0, 'balloon': 1}, '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': 'facebook/detr-resnet-50-dc5', '_attn_implementation_autoset': True, 'transformers_version': '4.46.3', 'classifier_dropout': 0.0, 'max_position_embeddings': 1024, 'model_type': 'detr', 'scale_embedding': False, 'output_dir': '.', 'overwrite_output_dir': False, 'do_train': False, 'do_eval': True, 'do_predict': False, 'eval_strategy': 'steps', 'prediction_loss_only': False, 'per_device_train_batch_size': 4, 'per_device_eval_batch_size': 4, 'per_gpu_train_batch_size': None, 'per_gpu_eval_batch_size': None, 'gradient_accumulation_steps': 1, 'eval_accumulation_steps': None, 'eval_delay': 0, 'torch_empty_cache_steps': None, 'learning_rate': 3e-05, 'weight_decay': 0.0001, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 1.0, 'num_train_epochs': 3.0, 'max_steps': 500, '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': './runs/Nov27_17-35-19_f5b68522d064', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 5, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 10, 'save_total_limit': 2, 'save_safetensors': True, 'save_on_each_node': False, 'save_only_model': False, 'restore_callback_states_from_checkpoint': 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': True, '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': 10, 'dataloader_num_workers': 0, 'dataloader_prefetch_factor': None, 'past_index': -1, 'run_name': '.', 'disable_tqdm': False, 'remove_unused_columns': False, 'label_names': None, 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, '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, 'non_blocking': False, 'gradient_accumulation_kwargs': None}, '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': ['wandb'], 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'dataloader_pin_memory': True, 'dataloader_persistent_workers': False, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': True, 'resume_from_checkpoint': None, 'hub_model_id': None, '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, 'include_for_metrics': [], 'eval_do_concat_batches': True, 'fp16_backend': 'auto', 'evaluation_strategy': 'steps', '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, 'optim_target_modules': None, 'batch_eval_metrics': True, 'eval_on_start': False, 'use_liger_kernel': False, 'eval_use_gather_object': False, 'average_tokens_across_devices': False}
-2024-11-27 17:35:21,805 INFO    MainThread:30 [wandb_config.py:__setitem__():154] config set model/num_parameters = 41501895 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x7a7699a6ddb0>>
-2024-11-27 17:35:21,805 INFO    MainThread:30 [wandb_run.py:_config_callback():1387] config_cb model/num_parameters 41501895 None
-2024-11-27 17:35:40,674 INFO    MainThread:30 [jupyter.py:save_ipynb():387] not saving jupyter notebook
-2024-11-27 17:35:40,674 INFO    MainThread:30 [wandb_init.py:_pause_backend():444] pausing backend
-2024-11-27 17:47:22,107 INFO    MainThread:30 [wandb_init.py:_resume_backend():449] resuming backend
-2024-11-27 17:47:22,110 INFO    MainThread:30 [jupyter.py:save_ipynb():387] not saving jupyter notebook
-2024-11-27 17:47:22,110 INFO    MainThread:30 [wandb_init.py:_pause_backend():444] pausing backend
-2024-11-27 17:47:25,397 INFO    MainThread:30 [wandb_init.py:_resume_backend():449] resuming backend
-2024-11-27 17:47:25,571 INFO    MainThread:30 [jupyter.py:save_ipynb():387] not saving jupyter notebook
-2024-11-27 17:47:25,571 INFO    MainThread:30 [wandb_init.py:_pause_backend():444] pausing backend
-2024-11-27 17:47:28,282 INFO    MainThread:30 [wandb_init.py:_resume_backend():449] resuming backend
-2024-11-27 17:47:28,815 INFO    MainThread:30 [wandb_run.py:_config_callback():1387] config_cb None None {'use_timm_backbone': True, 'backbone_config': None, 'num_channels': 3, 'num_queries': 100, 'd_model': 256, 'encoder_ffn_dim': 2048, 'encoder_layers': 6, 'encoder_attention_heads': 8, 'decoder_ffn_dim': 2048, 'decoder_layers': 6, 'decoder_attention_heads': 8, 'dropout': 0.1, 'attention_dropout': 0.0, 'activation_dropout': 0.0, 'activation_function': 'relu', 'init_std': 0.02, 'init_xavier_std': 1.0, 'encoder_layerdrop': 0.0, 'decoder_layerdrop': 0.0, 'num_hidden_layers': 6, 'auxiliary_loss': False, 'position_embedding_type': 'sine', 'backbone': 'resnet50', 'use_pretrained_backbone': True, 'backbone_kwargs': {'output_stride': 16, 'out_indices': [1, 2, 3, 4], 'in_chans': 3}, 'dilation': True, 'class_cost': 1, 'bbox_cost': 5, 'giou_cost': 2, 'mask_loss_coefficient': 1, 'dice_loss_coefficient': 1, 'bbox_loss_coefficient': 5, 'giou_loss_coefficient': 2, 'eos_coefficient': 0.1, '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': True, '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': ['DetrForObjectDetection'], 'finetuning_task': None, 'id2label': {0: 'object', 1: 'balloon'}, 'label2id': {'object': 0, 'balloon': 1}, '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': 'facebook/detr-resnet-50-dc5', '_attn_implementation_autoset': False, 'transformers_version': '4.46.3', 'classifier_dropout': 0.0, 'max_position_embeddings': 1024, 'model_type': 'detr', 'scale_embedding': False, 'output_dir': '.', 'overwrite_output_dir': False, 'do_train': False, 'do_eval': True, 'do_predict': False, 'eval_strategy': 'steps', 'prediction_loss_only': False, 'per_device_train_batch_size': 4, 'per_device_eval_batch_size': 4, 'per_gpu_train_batch_size': None, 'per_gpu_eval_batch_size': None, 'gradient_accumulation_steps': 1, 'eval_accumulation_steps': None, 'eval_delay': 0, 'torch_empty_cache_steps': None, 'learning_rate': 3e-05, 'weight_decay': 0.0001, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 1.0, 'num_train_epochs': 3.0, 'max_steps': 500, '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': './runs/Nov27_17-47-25_f5b68522d064', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 5, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 10, 'save_total_limit': 2, 'save_safetensors': True, 'save_on_each_node': False, 'save_only_model': False, 'restore_callback_states_from_checkpoint': 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': True, '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': 10, 'dataloader_num_workers': 0, 'dataloader_prefetch_factor': None, 'past_index': -1, 'run_name': '.', 'disable_tqdm': False, 'remove_unused_columns': False, 'label_names': None, 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, '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, 'non_blocking': False, 'gradient_accumulation_kwargs': None}, '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': ['wandb'], 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'dataloader_pin_memory': True, 'dataloader_persistent_workers': False, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': True, 'resume_from_checkpoint': None, 'hub_model_id': None, '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, 'include_for_metrics': [], 'eval_do_concat_batches': True, 'fp16_backend': 'auto', 'evaluation_strategy': 'steps', '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, 'optim_target_modules': None, 'batch_eval_metrics': True, 'eval_on_start': False, 'use_liger_kernel': False, 'eval_use_gather_object': False, 'average_tokens_across_devices': False}
-2024-11-27 17:47:28,820 INFO    MainThread:30 [wandb_config.py:__setitem__():154] config set model/num_parameters = 41501895 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x7a7699a6ddb0>>
-2024-11-27 17:47:28,820 INFO    MainThread:30 [wandb_run.py:_config_callback():1387] config_cb model/num_parameters 41501895 None
-2024-11-27 17:50:48,066 INFO    MainThread:30 [jupyter.py:save_ipynb():387] not saving jupyter notebook
-2024-11-27 17:50:48,067 INFO    MainThread:30 [wandb_init.py:_pause_backend():444] pausing backend
-2024-11-27 17:50:52,249 INFO    MainThread:30 [wandb_init.py:_resume_backend():449] resuming backend
-2024-11-27 17:50:52,251 INFO    MainThread:30 [jupyter.py:save_ipynb():387] not saving jupyter notebook
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'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': None, 'use_bfloat16': False, 'tf_legacy_loss': False, 'pruned_heads': {}, 'tie_word_embeddings': True, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': True, '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': ['DetrForObjectDetection'], 'finetuning_task': None, 'id2label': {0: 'object', 1: 'balloon'}, 'label2id': {'object': 0, 'balloon': 1}, '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': 'facebook/detr-resnet-50-dc5', '_attn_implementation_autoset': True, 'transformers_version': '4.46.3', 'classifier_dropout': 0.0, 'max_position_embeddings': 1024, 'model_type': 'detr', 'scale_embedding': False, 'output_dir': '.', 'overwrite_output_dir': False, 'do_train': False, 'do_eval': True, 'do_predict': False, 'eval_strategy': 'steps', 'prediction_loss_only': False, 'per_device_train_batch_size': 4, 'per_device_eval_batch_size': 4, 'per_gpu_train_batch_size': None, 'per_gpu_eval_batch_size': None, 'gradient_accumulation_steps': 1, 'eval_accumulation_steps': None, 'eval_delay': 0, 'torch_empty_cache_steps': None, 'learning_rate': 3e-05, 'weight_decay': 0.0001, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 1.0, 'num_train_epochs': 3.0, 'max_steps': 125, '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': './runs/Nov27_18-03-24_f5b68522d064', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 5, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 10, 'save_total_limit': 2, 'save_safetensors': True, 'save_on_each_node': False, 'save_only_model': False, 'restore_callback_states_from_checkpoint': 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': True, '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': 10, 'dataloader_num_workers': 0, 'dataloader_prefetch_factor': None, 'past_index': -1, 'run_name': '.', 'disable_tqdm': False, 'remove_unused_columns': False, 'label_names': None, 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, '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, 'non_blocking': False, 'gradient_accumulation_kwargs': None}, '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': ['wandb'], 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'dataloader_pin_memory': True, 'dataloader_persistent_workers': False, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': True, 'resume_from_checkpoint': None, 'hub_model_id': None, '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, 'include_for_metrics': [], 'eval_do_concat_batches': True, 'fp16_backend': 'auto', 'evaluation_strategy': 'steps', '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, 'optim_target_modules': None, 'batch_eval_metrics': True, 'eval_on_start': False, 'use_liger_kernel': False, 'eval_use_gather_object': False, 'average_tokens_across_devices': False}
+2024-11-27 18:03:30,125 INFO    MainThread:1290 [wandb_config.py:__setitem__():154] config set model/num_parameters = 41501895 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x7ea6083ff9a0>>
+2024-11-27 18:03:30,125 INFO    MainThread:1290 [wandb_run.py:_config_callback():1387] config_cb model/num_parameters 41501895 None

wandb/run-20241127_153304-dgfn4fnq/logs/debug-core.log

@@ -13,3 +13,18 @@
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wandb/run-20241127_172745-6tkomlep/files/config.yaml

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wandb/run-20241127_172745-6tkomlep/files/output.log

@@ -54,3 +54,19 @@ No files have been modified since last commit. Skipping to prevent empty commit.
 /opt/conda/lib/python3.10/site-packages/accelerate/accelerator.py:494: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead.
   self.scaler = torch.cuda.amp.GradScaler(**kwargs)
 max_steps is given, it will override any value given in num_train_epochs
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+{'area': [8900, 10282, 3185, 9858, 3190, 10395, 6072, 6095, 24112, 9212, 11770], 'bbox': [[108, 340, 197, 440], [56, 368, 153, 474], [18, 386, 67, 451], [0, 444, 106, 537], [42, 517, 100, 572], [84, 474, 183, 579], [302, 322, 371, 410], [370, 255, 423, 370], [416, 525, 592, 662], [366, 630, 460, 728], [340, 668, 447, 778]], 'bbox_id': [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10], 'category': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]}
+{'area': [930852], 'bbox': [[19, 145, 1033, 1063]], 'bbox_id': [0], 'category': [1]}
+Some weights of the model checkpoint at facebook/detr-resnet-50-dc5 were not used when initializing DetrForObjectDetection: ['model.backbone.conv_encoder.model.layer1.0.downsample.1.num_batches_tracked', 'model.backbone.conv_encoder.model.layer2.0.downsample.1.num_batches_tracked', 'model.backbone.conv_encoder.model.layer3.0.downsample.1.num_batches_tracked', 'model.backbone.conv_encoder.model.layer4.0.downsample.1.num_batches_tracked']
+- This IS expected if you are initializing DetrForObjectDetection from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).
+- This IS NOT expected if you are initializing DetrForObjectDetection from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).
+Some weights of DetrForObjectDetection were not initialized from the model checkpoint at facebook/detr-resnet-50-dc5 and are newly initialized because the shapes did not match:
+- class_labels_classifier.bias: found shape torch.Size([92]) in the checkpoint and torch.Size([2]) in the model instantiated
+- class_labels_classifier.weight: found shape torch.Size([92, 256]) in the checkpoint and torch.Size([2, 256]) in the model instantiated
+You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.

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wandb/run-20241127_172745-6tkomlep/logs/debug.log

@@ -139,3 +139,58 @@ config: {'batch_size': 4, 'learning_rate': 0.0003, 'num_epochs': 100}
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+2024-11-27 17:57:38,379 INFO    MainThread:30 [wandb_run.py:_finish():2155] finishing run swampinhabitant/detr-training/6tkomlep
+2024-11-27 17:57:38,380 INFO    MainThread:30 [jupyter.py:save_history():459] not saving jupyter history
+2024-11-27 17:57:38,380 INFO    MainThread:30 [jupyter.py:save_ipynb():387] not saving jupyter notebook
+2024-11-27 17:57:38,380 INFO    MainThread:30 [wandb_init.py:_jupyter_teardown():461] cleaning up jupyter logic
+2024-11-27 17:57:38,381 INFO    MainThread:30 [wandb_run.py:_atexit_cleanup():2420] got exitcode: 0
+2024-11-27 17:57:38,381 INFO    MainThread:30 [wandb_run.py:_restore():2402] restore
+2024-11-27 17:57:38,381 INFO    MainThread:30 [wandb_run.py:_restore():2408] restore done
+2024-11-27 17:57:39,928 INFO    MainThread:30 [wandb_run.py:_footer_history_summary_info():3960] rendering history
+2024-11-27 17:57:39,929 INFO    MainThread:30 [wandb_run.py:_footer_history_summary_info():3992] rendering summary
+2024-11-27 17:57:39,935 INFO    MainThread:30 [wandb_run.py:_footer_sync_info():3921] logging synced files

wandb/run-20241127_175738-q3pkeg7r/files/config.yaml

@@ -0,0 +1,560 @@
+_attn_implementation_autoset:
+    value: true
+_name_or_path:
+    value: facebook/detr-resnet-50-dc5
+_wandb:
+    value:
+        cli_version: 0.18.7
+        m:
+            - "1": train/global_step
+              "6":
+                - 3
+              "7": []
+            - "1": train/loss
+              "5": 1
+              "6":
+                - 1
+                - 3
+              "7": []
+            - "1": train/grad_norm
+              "5": 1
+              "6":
+                - 1
+                - 3
+              "7": []
+            - "1": train/learning_rate
+              "5": 1
+              "6":
+                - 1
+                - 3
+              "7": []
+            - "1": train/epoch
+              "5": 1
+              "6":
+                - 1
+                - 3
+              "7": []
+        python_version: 3.10.14
+        t:
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+                - 2
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+                - 2
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+                - 55
+                - 66
+            "4": 3.10.14
+            "5": 0.18.7
+            "6": 4.46.3
+            "8":
+                - 1
+                - 2
+                - 5
+            "9":
+                "1": transformers_trainer
+            "12": 0.18.7
+            "13": linux-x86_64
+accelerator_config:
+    value:
+        dispatch_batches: null
+        even_batches: true
+        gradient_accumulation_kwargs: null
+        non_blocking: false
+        split_batches: false
+        use_seedable_sampler: true
+activation_dropout:
+    value: 0
+activation_function:
+    value: relu
+adafactor:
+    value: false
+adam_beta1:
+    value: 0.9
+adam_beta2:
+    value: 0.999
+adam_epsilon:
+    value: 1e-08
+add_cross_attention:
+    value: false
+architectures:
+    value:
+        - DetrForObjectDetection
+attention_dropout:
+    value: 0
+auto_find_batch_size:
+    value: false
+auxiliary_loss:
+    value: false
+average_tokens_across_devices:
+    value: false
+backbone:
+    value: resnet50
+backbone_config:
+    value: null
+backbone_kwargs:
+    value:
+        in_chans: 3
+        out_indices:
+            - 1
+            - 2
+            - 3
+            - 4
+        output_stride: 16
+bad_words_ids:
+    value: null
+batch_eval_metrics:
+    value: true
+batch_size:
+    value: 4
+bbox_cost:
+    value: 5
+bbox_loss_coefficient:
+    value: 5
+begin_suppress_tokens:
+    value: null
+bf16:
+    value: false
+bf16_full_eval:
+    value: false
+bos_token_id:
+    value: null
+chunk_size_feed_forward:
+    value: 0
+class_cost:
+    value: 1
+classifier_dropout:
+    value: 0
+cross_attention_hidden_size:
+    value: null
+d_model:
+    value: 256
+data_seed:
+    value: null
+dataloader_drop_last:
+    value: false
+dataloader_num_workers:
+    value: 0
+dataloader_persistent_workers:
+    value: false
+dataloader_pin_memory:
+    value: true
+dataloader_prefetch_factor:
+    value: null
+ddp_backend:
+    value: null
+ddp_broadcast_buffers:
+    value: null
+ddp_bucket_cap_mb:
+    value: null
+ddp_find_unused_parameters:
+    value: null
+ddp_timeout:
+    value: 1800
+debug:
+    value: []
+decoder_attention_heads:
+    value: 8
+decoder_ffn_dim:
+    value: 2048
+decoder_layerdrop:
+    value: 0
+decoder_layers:
+    value: 6
+decoder_start_token_id:
+    value: null
+deepspeed:
+    value: null
+dice_loss_coefficient:
+    value: 1
+dilation:
+    value: true
+disable_tqdm:
+    value: false
+dispatch_batches:
+    value: null
+diversity_penalty:
+    value: 0
+do_eval:
+    value: true
+do_predict:
+    value: false
+do_sample:
+    value: false
+do_train:
+    value: false
+dropout:
+    value: 0.1
+early_stopping:
+    value: false
+encoder_attention_heads:
+    value: 8
+encoder_ffn_dim:
+    value: 2048
+encoder_layerdrop:
+    value: 0
+encoder_layers:
+    value: 6
+encoder_no_repeat_ngram_size:
+    value: 0
+eos_coefficient:
+    value: 0.1
+eos_token_id:
+    value: null
+eval_accumulation_steps:
+    value: null
+eval_delay:
+    value: 0
+eval_do_concat_batches:
+    value: true
+eval_on_start:
+    value: false
+eval_steps:
+    value: 10
+eval_strategy:
+    value: steps
+eval_use_gather_object:
+    value: false
+evaluation_strategy:
+    value: steps
+exponential_decay_length_penalty:
+    value: null
+finetuning_task:
+    value: null
+forced_bos_token_id:
+    value: null
+forced_eos_token_id:
+    value: null
+fp16:
+    value: true
+fp16_backend:
+    value: auto
+fp16_full_eval:
+    value: false
+fp16_opt_level:
+    value: O1
+fsdp:
+    value: []
+fsdp_config:
+    value:
+        min_num_params: 0
+        xla: false
+        xla_fsdp_grad_ckpt: false
+        xla_fsdp_v2: false
+fsdp_min_num_params:
+    value: 0
+fsdp_transformer_layer_cls_to_wrap:
+    value: null
+full_determinism:
+    value: false
+giou_cost:
+    value: 2
+giou_loss_coefficient:
+    value: 2
+gradient_accumulation_steps:
+    value: 1
+gradient_checkpointing:
+    value: false
+gradient_checkpointing_kwargs:
+    value: null
+greater_is_better:
+    value: null
+group_by_length:
+    value: false
+half_precision_backend:
+    value: auto
+hub_always_push:
+    value: false
+hub_model_id:
+    value: null
+hub_private_repo:
+    value: false
+hub_strategy:
+    value: every_save
+hub_token:
+    value: <HUB_TOKEN>
+id2label:
+    value:
+        "1": balloon
+ignore_data_skip:
+    value: false
+include_for_metrics:
+    value: []
+include_inputs_for_metrics:
+    value: false
+include_num_input_tokens_seen:
+    value: false
+include_tokens_per_second:
+    value: false
+init_std:
+    value: 0.02
+init_xavier_std:
+    value: 1
+is_decoder:
+    value: false
+is_encoder_decoder:
+    value: true
+jit_mode_eval:
+    value: false
+label_names:
+    value: null
+label_smoothing_factor:
+    value: 0
+label2id:
+    value:
+        balloon: 1
+learning_rate:
+    value: 3e-05
+length_column_name:
+    value: length
+length_penalty:
+    value: 1
+load_best_model_at_end:
+    value: false
+local_rank:
+    value: 0
+log_level:
+    value: passive
+log_level_replica:
+    value: warning
+log_on_each_node:
+    value: true
+logging_dir:
+    value: ./runs/Nov27_17-58-07_f5b68522d064
+logging_first_step:
+    value: false
+logging_nan_inf_filter:
+    value: true
+logging_steps:
+    value: 5
+logging_strategy:
+    value: steps
+lr_scheduler_type:
+    value: linear
+mask_loss_coefficient:
+    value: 1
+max_grad_norm:
+    value: 1
+max_length:
+    value: 20
+max_position_embeddings:
+    value: 1024
+max_steps:
+    value: 250
+metric_for_best_model:
+    value: null
+min_length:
+    value: 0
+model/num_parameters:
+    value: 41501638
+model_type:
+    value: detr
+mp_parameters:
+    value: ""
+neftune_noise_alpha:
+    value: null
+no_cuda:
+    value: false
+no_repeat_ngram_size:
+    value: 0
+num_beam_groups:
+    value: 1
+num_beams:
+    value: 1
+num_channels:
+    value: 3
+num_epochs:
+    value: 100
+num_hidden_layers:
+    value: 6
+num_queries:
+    value: 100
+num_return_sequences:
+    value: 1
+num_train_epochs:
+    value: 3
+optim:
+    value: adamw_torch
+optim_args:
+    value: null
+optim_target_modules:
+    value: null
+output_attentions:
+    value: false
+output_dir:
+    value: .
+output_hidden_states:
+    value: false
+output_scores:
+    value: false
+overwrite_output_dir:
+    value: false
+pad_token_id:
+    value: null
+past_index:
+    value: -1
+per_device_eval_batch_size:
+    value: 4
+per_device_train_batch_size:
+    value: 4
+per_gpu_eval_batch_size:
+    value: null
+per_gpu_train_batch_size:
+    value: null
+position_embedding_type:
+    value: sine
+prediction_loss_only:
+    value: false
+prefix:
+    value: null
+problem_type:
+    value: null
+push_to_hub:
+    value: true
+push_to_hub_model_id:
+    value: null
+push_to_hub_organization:
+    value: null
+push_to_hub_token:
+    value: <PUSH_TO_HUB_TOKEN>
+ray_scope:
+    value: last
+remove_invalid_values:
+    value: false
+remove_unused_columns:
+    value: false
+repetition_penalty:
+    value: 1
+report_to:
+    value:
+        - wandb
+restore_callback_states_from_checkpoint:
+    value: false
+resume_from_checkpoint:
+    value: null
+return_dict:
+    value: true
+return_dict_in_generate:
+    value: false
+run_name:
+    value: .
+save_on_each_node:
+    value: false
+save_only_model:
+    value: false
+save_safetensors:
+    value: true
+save_steps:
+    value: 10
+save_strategy:
+    value: steps
+save_total_limit:
+    value: 2
+scale_embedding:
+    value: false
+seed:
+    value: 42
+sep_token_id:
+    value: null
+skip_memory_metrics:
+    value: true
+split_batches:
+    value: null
+suppress_tokens:
+    value: null
+task_specific_params:
+    value: null
+temperature:
+    value: 1
+tf_legacy_loss:
+    value: false
+tf32:
+    value: null
+tie_encoder_decoder:
+    value: false
+tie_word_embeddings:
+    value: true
+tokenizer_class:
+    value: null
+top_k:
+    value: 50
+top_p:
+    value: 1
+torch_compile:
+    value: false
+torch_compile_backend:
+    value: null
+torch_compile_mode:
+    value: null
+torch_dtype:
+    value: null
+torch_empty_cache_steps:
+    value: null
+torchdynamo:
+    value: null
+torchscript:
+    value: false
+tpu_metrics_debug:
+    value: false
+tpu_num_cores:
+    value: null
+transformers_version:
+    value: 4.46.3
+typical_p:
+    value: 1
+use_bfloat16:
+    value: false
+use_cpu:
+    value: false
+use_ipex:
+    value: false
+use_legacy_prediction_loop:
+    value: false
+use_liger_kernel:
+    value: false
+use_mps_device:
+    value: false
+use_pretrained_backbone:
+    value: true
+use_timm_backbone:
+    value: true
+warmup_ratio:
+    value: 0
+warmup_steps:
+    value: 0
+weight_decay:
+    value: 0.0001

wandb/run-20241127_175738-q3pkeg7r/files/output.log

@@ -0,0 +1,22 @@
+/opt/conda/lib/python3.10/site-packages/transformers/training_args.py:1568: FutureWarning: `evaluation_strategy` is deprecated and will be removed in version 4.46 of 🤗 Transformers. Use `eval_strategy` instead
+  warnings.warn(
+/tmp/ipykernel_30/2368586458.py:28: FutureWarning: `tokenizer` is deprecated and will be removed in version 5.0.0 for `Trainer.__init__`. Use `processing_class` instead.
+  trainer = Trainer(
+/opt/conda/lib/python3.10/site-packages/accelerate/accelerator.py:494: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead.
+  self.scaler = torch.cuda.amp.GradScaler(**kwargs)
+max_steps is given, it will override any value given in num_train_epochs
+/opt/conda/lib/python3.10/site-packages/transformers/training_args.py:1568: FutureWarning: `evaluation_strategy` is deprecated and will be removed in version 4.46 of 🤗 Transformers. Use `eval_strategy` instead
+  warnings.warn(
+/tmp/ipykernel_30/2368586458.py:28: FutureWarning: `tokenizer` is deprecated and will be removed in version 5.0.0 for `Trainer.__init__`. Use `processing_class` instead.
+  trainer = Trainer(
+/opt/conda/lib/python3.10/site-packages/accelerate/accelerator.py:494: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead.
+  self.scaler = torch.cuda.amp.GradScaler(**kwargs)
+max_steps is given, it will override any value given in num_train_epochs
+{'area': [613362, 407907, 255150, 157685, 139682, 142128, 161721], 'bbox': [[748, 195, 1425, 1101], [1037, 56, 1586, 799], [1279, 469, 1684, 1099], [1599, 498, 1904, 1015], [397, 468, 728, 890], [490, 797, 819, 1229], [211, 930, 568, 1383]], 'bbox_id': [0, 1, 2, 3, 4, 5, 6], 'category': [1, 1, 1, 1, 1, 1, 1]}
+Some weights of the model checkpoint at facebook/detr-resnet-50-dc5 were not used when initializing DetrForObjectDetection: ['model.backbone.conv_encoder.model.layer1.0.downsample.1.num_batches_tracked', 'model.backbone.conv_encoder.model.layer2.0.downsample.1.num_batches_tracked', 'model.backbone.conv_encoder.model.layer3.0.downsample.1.num_batches_tracked', 'model.backbone.conv_encoder.model.layer4.0.downsample.1.num_batches_tracked']
+- This IS expected if you are initializing DetrForObjectDetection from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).
+- This IS NOT expected if you are initializing DetrForObjectDetection from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).
+Some weights of DetrForObjectDetection were not initialized from the model checkpoint at facebook/detr-resnet-50-dc5 and are newly initialized because the shapes did not match:
+- class_labels_classifier.bias: found shape torch.Size([92]) in the checkpoint and torch.Size([2]) in the model instantiated
+- class_labels_classifier.weight: found shape torch.Size([92, 256]) in the checkpoint and torch.Size([2, 256]) in the model instantiated
+You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.

wandb/run-20241127_175738-q3pkeg7r/files/requirements.txt

@@ -0,0 +1,791 @@
+brotlipy==0.7.0
+PySocks==1.7.1
+conda-content-trust==0+unknown
+six==1.16.0
+ruamel-yaml-conda==0.15.100
+evaluate==0.4.3
+wandb==0.18.7
+simsimd==6.2.1
+transformers==4.46.3
+datasets==3.1.0
+timm==1.0.11
+torchmetrics==1.6.0
+pycocotools==2.0.8
+stringzilla==3.10.10
+matplotlib==3.9.2
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+kaggle-environments==1.14.15
+safetensors==0.4.5
+py-cpuinfo==9.0.0
+qgrid==1.3.1
+woodwork==0.31.0
+gcsfs==2024.6.1
+google-auth-httplib2==0.2.0
+onnx==1.17.0
+pytorch-ignite==0.5.1
+MarkupSafe==2.1.5
+sentry-sdk==2.15.0
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+ndindex==1.9.2
+learntools==0.3.4
+s3fs==2024.6.1
+eval_type_backport==0.2.0
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+aiohttp==3.9.5
+easyocr==1.7.2
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+vec_noise==1.1.4
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+tokenizers==0.20.0
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+PyArabic==0.6.15
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+Pympler==1.1
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+llvmlite==0.43.0
+llvmlite==0.43.0
+earthengine-api==1.1.2
+pettingzoo==1.24.0
+segment_anything==1.0
+aioitertools==0.12.0
+rgf-python==3.12.0
+Flask==3.0.3
+stable-baselines3==2.1.0
+lightning-utilities==0.11.7
+huggingface-hub==0.25.1
+et-xmlfile==1.1.0
+accelerate==0.34.2
+Shapely==1.8.5.post1
+shapely==2.0.6
+Shimmy==1.3.0
+stumpy==1.13.0
+Rtree==1.3.0
+fsspec==2024.6.1
+fsspec==2024.9.0
+fastcore==1.7.10
+fastdownload==0.0.7
+gatspy==0.3
+botocore==1.35.23
+dill==0.3.8
+google-cloud-bigquery==2.34.4
+google-cloud-videointelligence==2.13.5
+google-api-core==2.11.1
+google-api-core==2.20.0
+google-cloud-aiplatform==0.6.0a1
+google-cloud-monitoring==2.21.0
+google-auth==2.30.0
+google-cloud-automl==1.0.1
+google-cloud-storage==1.44.0
+googleapis-common-protos==1.63.1
+google-cloud-translate==3.12.1
+google-cloud-core==2.4.1
+google-generativeai==0.8.2
+google-cloud-vision==2.8.0
+google-cloud-datastore==2.20.1
+google-cloud-artifact-registry==1.11.3
+google-cloud-language==2.14.0
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+en-core-web-lg==3.7.1
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+datatile==1.0.3
+pydocstyle==6.3.0
+QtPy==2.4.1
+isort==5.13.2
+tomlkit==0.13.2
+olefile==0.47
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wandb/run-20241127_175738-q3pkeg7r/files/wandb-metadata.json

@@ -0,0 +1,37 @@
+{
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+  "python": "3.10.14",
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wandb/run-20241127_175914-sgwfgfol/files/config.yaml

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+        - wandb
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wandb/run-20241127_175914-sgwfgfol/files/output.log

@@ -0,0 +1,7 @@
+/opt/conda/lib/python3.10/site-packages/transformers/training_args.py:1568: FutureWarning: `evaluation_strategy` is deprecated and will be removed in version 4.46 of 🤗 Transformers. Use `eval_strategy` instead
+  warnings.warn(
+/tmp/ipykernel_30/2368586458.py:28: FutureWarning: `tokenizer` is deprecated and will be removed in version 5.0.0 for `Trainer.__init__`. Use `processing_class` instead.
+  trainer = Trainer(
+/opt/conda/lib/python3.10/site-packages/accelerate/accelerator.py:494: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead.
+  self.scaler = torch.cuda.amp.GradScaler(**kwargs)
+max_steps is given, it will override any value given in num_train_epochs

wandb/run-20241127_175914-sgwfgfol/files/requirements.txt

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wandb/run-20241127_180245-wpdp0i8s/files/output.log

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+  warnings.warn(
+/opt/conda/lib/python3.10/site-packages/transformers/training_args.py:1568: FutureWarning: `evaluation_strategy` is deprecated and will be removed in version 4.46 of 🤗 Transformers. Use `eval_strategy` instead
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