Training in progress, step 10001

config.json

@@ -1,11 +1,11 @@
 {
-  "_name_or_path": "facebook/detr-resnet-50-dc5",
-  "activation_dropout": 0.0,
+  "_name_or_path": "/kaggle/input/checkpoint-10000",
+  "activation_dropout": 0,
   "activation_function": "relu",
   "architectures": [
     "DetrForObjectDetection"
   ],
-  "attention_dropout": 0.0,
+  "attention_dropout": 0,
   "auxiliary_loss": false,
   "backbone": "resnet50",
   "backbone_config": null,
@@ -22,18 +22,18 @@
   "bbox_cost": 5,
   "bbox_loss_coefficient": 5,
   "class_cost": 1,
-  "classifier_dropout": 0.0,
+  "classifier_dropout": 0,
   "d_model": 256,
   "decoder_attention_heads": 8,
   "decoder_ffn_dim": 2048,
-  "decoder_layerdrop": 0.0,
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   "dice_loss_coefficient": 1,
   "dilation": true,
   "dropout": 0.1,
   "encoder_attention_heads": 8,
   "encoder_ffn_dim": 2048,
-  "encoder_layerdrop": 0.0,
+  "encoder_layerdrop": 0,
   "encoder_layers": 6,
   "eos_coefficient": 0.1,
   "giou_cost": 2,
@@ -49,7 +49,7 @@
     "7": "Multi-Axle"
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   "init_std": 0.02,
-  "init_xavier_std": 1.0,
+  "init_xavier_std": 1,
   "is_encoder_decoder": true,
   "label2id": {
     "Auto": 0,

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'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': None, '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}
-2025-02-08 15:17:48,906 INFO    MainThread:18 [wandb_config.py:__setitem__():154] config set model/num_parameters = 41503437 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x7a0d3daaa7d0>>
-2025-02-08 15:17:48,906 INFO    MainThread:18 [wandb_run.py:_config_callback():1253] config_cb model/num_parameters 41503437 None
+2025-02-09 04:26:05,845 INFO    MainThread:31 [wandb_init.py:init():789] starting backend
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+2025-02-09 04:26:12,769 INFO    MainThread:31 [wandb_run.py:_redirect():2235] redirect: wrap_raw
+2025-02-09 04:26:12,769 INFO    MainThread:31 [wandb_run.py:_redirect():2300] Wrapping output streams.
+2025-02-09 04:26:12,769 INFO    MainThread:31 [wandb_run.py:_redirect():2325] Redirects installed.
+2025-02-09 04:26:12,771 INFO    MainThread:31 [wandb_init.py:init():1036] run started, returning control to user process
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+2025-02-09 04:26:57,341 INFO    MainThread:31 [wandb_run.py:_config_callback():1253] 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, 'activation_dropout': 0, 'activation_function': 'relu', 'init_std': 0.02, 'init_xavier_std': 1, 'encoder_layerdrop': 0, 'decoder_layerdrop': 0, 'num_hidden_layers': 6, 'auxiliary_loss': False, 'position_embedding_type': 'sine', 'backbone': 'resnet50', 'use_pretrained_backbone': True, 'backbone_kwargs': {'in_chans': 3, 'out_indices': [1, 2, 3, 4], 'output_stride': 16}, '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: 'Auto', 1: 'Bus', 2: 'Car', 3: 'LCV', 4: 'Motorcycle', 5: 'Truck', 6: 'Tractor', 7: 'Multi-Axle'}, 'label2id': {'Auto': 0, 'Bus': 1, 'Car': 2, 'LCV': 3, 'Motorcycle': 4, 'Truck': 5, 'Tractor': 6, 'Multi-Axle': 7}, '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': '/kaggle/input/checkpoint-10000', '_attn_implementation_autoset': True, 'transformers_version': '4.48.3', 'classifier_dropout': 0, 'max_position_embeddings': 1024, 'model_type': 'detr', 'scale_embedding': False, 'output_dir': '/kaggle/working/', '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': 1e-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': 10000, '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/Feb09_04-25-49_d77daa9d549e', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 1, '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': 50, 'dataloader_num_workers': 0, 'dataloader_prefetch_factor': None, 'past_index': -1, 'run_name': '/kaggle/working/', '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': None, '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}
+2025-02-09 04:26:57,347 INFO    MainThread:31 [wandb_config.py:__setitem__():154] config set model/num_parameters = 41503437 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x7d5dc571eaa0>>
+2025-02-09 04:26:57,347 INFO    MainThread:31 [wandb_run.py:_config_callback():1253] config_cb model/num_parameters 41503437 None
+2025-02-09 04:27:27,139 INFO    MainThread:31 [jupyter.py:save_ipynb():386] not saving jupyter notebook
+2025-02-09 04:27:27,139 INFO    MainThread:31 [wandb_init.py:_pause_backend():554] pausing backend

wandb/run-20250209_042605-dcmug9jr/files/output.log

@@ -0,0 +1,9 @@
+<ipython-input-42-4a151ffa9cc8>:1: FutureWarning: `tokenizer` is deprecated and will be removed in version 5.0.0 for `Trainer.__init__`. Use `processing_class` instead.
+  trainer = Trainer(
+/usr/local/lib/python3.10/dist-packages/transformers/trainer.py:3441: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  torch.load(os.path.join(checkpoint, OPTIMIZER_NAME), map_location=map_location)
+wandb: WARNING The `run_name` is currently set to the same value as `TrainingArguments.output_dir`. If this was not intended, please specify a different run name by setting the `TrainingArguments.run_name` parameter.
+The `max_size` parameter is deprecated and will be removed in v4.26. Please specify in `size['longest_edge'] instead`.
+/usr/local/lib/python3.10/dist-packages/transformers/trainer.py:3105: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
+  checkpoint_rng_state = torch.load(rng_file)
+It seems you are trying to upload a large folder at once. This might take some time and then fail if the folder is too large. For such cases, it is recommended to upload in smaller batches or to use `HfApi().upload_large_folder(...)`/`huggingface-cli upload-large-folder` instead. For more details, check out https://huggingface.co/docs/huggingface_hub/main/en/guides/upload#upload-a-large-folder.

wandb/run-20250209_042605-dcmug9jr/files/requirements.txt

@@ -0,0 +1,843 @@
+albumentations==2.0.3
+simsimd==6.2.1
+wandb==0.19.6
+transformers==4.48.3
+timm==1.0.14
+albucore==0.0.23
+protobuf==3.20.3
+bq_helper==0.4.1
+lightgbm==4.5.0
+pytools==2025.1.1
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+mkl==2025.0.1
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+google-cloud-storage==2.14.0
+fasttext==0.9.3
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+fury==0.12.0
+igraph==0.11.8
+google-cloud-automl==1.0.1
+tiktoken==0.8.0
+cudf-cu12==24.12.0
+libucx-cu12==1.17.0.post1
+nltk==3.2.4
+grpcio-status==1.48.2
+olefile==0.47
+semver==3.0.4
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