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+2024-07-24 14:18:48,367 INFO MainThread:34 [wandb_run.py:_config_callback():1382] config_cb None None {'output_dir': './', 'overwrite_output_dir': False, 'do_train': False, 'do_eval': False, 'do_predict': False, 'eval_strategy': 'no', 'prediction_loss_only': False, 'per_device_train_batch_size': 2, 'per_device_eval_batch_size': 8, 'per_gpu_train_batch_size': None, 'per_gpu_eval_batch_size': None, 'gradient_accumulation_steps': 20, 'eval_accumulation_steps': None, 'eval_delay': 0, 'learning_rate': 1e-05, 'weight_decay': 0.01, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 1.0, 'num_train_epochs': 1, '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': './runs/Jul24_14-18-34_21f06c5830ff', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 20, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 500, 'save_total_limit': None, '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': 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': None, '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': 'VQA2', '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, 'eval_do_concat_batches': True, 'fp16_backend': 'auto', 'evaluation_strategy': None, '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': False, 'eval_on_start': False}
+2024-07-24 14:18:48,695 INFO MainThread:34 [wandb_run.py:_config_callback():1382] config_cb None None {'output_dir': './', 'overwrite_output_dir': False, 'do_train': False, 'do_eval': False, 'do_predict': False, 'eval_strategy': 'no', 'prediction_loss_only': False, 'per_device_train_batch_size': 2, 'per_device_eval_batch_size': 8, 'per_gpu_train_batch_size': None, 'per_gpu_eval_batch_size': None, 'gradient_accumulation_steps': 20, 'eval_accumulation_steps': None, 'eval_delay': 0, 'learning_rate': 1e-05, 'weight_decay': 0.01, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 1.0, 'num_train_epochs': 1, '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': './runs/Jul24_14-18-34_21f06c5830ff', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 20, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 500, 'save_total_limit': None, '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': 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': None, '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': 'VQA2', '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, 'eval_do_concat_batches': True, 'fp16_backend': 'auto', 'evaluation_strategy': None, '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': False, 'eval_on_start': False}

wandb/run-20240724_135436-jv4m57pj/files/config.yaml

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+wandb_version: 1
+
+_wandb:
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+ value:
+ python_version: 3.10.13
+ cli_version: 0.17.4
+ framework: huggingface
+ huggingface_version: 4.42.3
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+ value: true
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+ value: VQA2
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+hub_token:
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+ value: <HUB_TOKEN>
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+ value: <PUSH_TO_HUB_TOKEN>
+mp_parameters:
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+ value: ''
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+ value: 1800
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wandb/run-20240724_135436-jv4m57pj/files/output.log

@@ -0,0 +1,65 @@
+Có 10 con mèo trong ảnh.
+model
+Có 10 con mèo trong ảnh.
+model
+Có 10 con mèo trong ảnh. Nó là hình ảnh của một vườn thú nhân tạo với 10 con mèo đang chơi đùa. Họ đang chạy xung quanh vườn, chạy theo nhau và chơi với nhau. Chúng ta có thể nhìn thấy 10 con mèo đang chạy trong vườn. Chúng ta có thể nhìn thấy 10 con mèo đang chạy trong vườn. Chúng ta có thể nhìn thấy 10 con mèo đang chơi đùa trong vườn. Chúng ta có thể nhìn thấy 10 con mèo đang chạy xung quanh vườn, chạy theo nhau và chơi với nhau. Chúng ta có thể nhìn thấy có thể nhìn thấy 10 con mèo trong vườn.
+Ngoài ra, chúng ta có thể nhìn thấy 10 con mèo đang chơi đùa trong vườn. Chúng ta có thể nhìn thấy 10 con mèo đang chạy xung quanh vườn, chạy theo nhau và chơi với nhau. Chúng ta có thể nhìn thấy 10 con mèo đang chạy xung quanh vườn, chạy theo nhau và chơi với nhau.
+Chúng ta có thể nhìn thấy có thể nhìn thấy 10 con mèo trong vườn. Chúng ta có thể nhìn thấy 10 con mèo đang chạy xung quanh vườn, chạy theo nhau và chơi với nhau. Chúng ta
+Bức tranh có một con cá đang ngồi trên một bờ. Nó đang nhìn ra khỏi cửa sổ sổ.
+model
+Bức tranh có một con cá đang ngồi trên một bờ. Nó đang nhìn ra khỏi cửa sổ sổ sổ. Cá đang nhìn ra khỏi cửa sổ sổ, và nó đang sử dụng các cơ thể của mình để định hướng về hướng nhìn của mình. Nó cũng đang sử dụng các cơ thể của mình để định hướng về hướng nhìn của mình. Cá đang nhìn ra khỏi cửa sổ sổ sổ, và nó đang sử dụng các cơ thể của mình để định hướng về hướng nhìn của mình. Nó cũng đang sử dụng các cơ thể của mình để định hướng về hướng nhìn của mình. Cá đang nhìn ra khỏi cửa sổ sổ sổ, và nó đang sử dụng các cơ thể của mình để định hướng về hướng nhìn của mình.
+Bức tranh có thể được mô tả là một con cá đang ngồi trên một bờ, nhìn ra khỏi cửa sổ sổ sổ. Nó cũng có thể được mô tả là con cá đang đang định hướng về hướng nhìn của mình. Bartholomen có thể được mô tả là con cá đang ngồi trên một bờ, nhìn ra khỏi cửa sổ sổ sổ.
+ envíe một bức tranh của con cá đang ngồi trên một bờ, nhìn ra khỏi cửa sổ sổ sổ. Mục đích của việc làm như vậy có thể là để tạo ra một bức tranh có ý nghĩa, để tạo ra một bức tranh có tính thẩm
+Bức tranh có một con cá lớn đang ngoi ngơ trên bờ. Nó có một con cá nhỏ đang chơi đùa với nó.
+model
+Bức tranh có một con cá lớn đang ngoi ngơ trên bờ. Nó có một con cá nhỏ đang chơi đùa với nó., và nó có một con cá nhỏ đang chơi đùa với nó.
+model
+Bức tranh có một con cá lớn đang ngoi ngơ trên bờ. Nó có một con cá nhỏ đang chơi đùa với nó.
+Bức tranh có một con cá lớn đang ngồi trên một bờ. Nó đang nhìn ra khỏi cửa sổ sổ, và nó đang sử dụng một tay để đánh cá. Anh ta đang sử dụng một cái gậy để đánh cá, và anh ta đang sử dụng một cái gậy khác để đánh cá.
+Perú, Peru, là quốc gia có bờ biển lớn nhất thế giới, và bờ biển này cũng là nơi sinh sống của nhiều loài cá lớn. Nó có nhiều loại cá lớn, và những con cá lớn nhất có thể đạt độ dài 10-12 feet. Chúng ta có thể nhìn thấy một con cá lớn đang nổi trên mặt nước, và chúng ta có thể nhìn thấy một con cá lớn đang đang lội qua bờ. Chúng ta cũng có thể nhìn thấy một con cá lớn đang đang ghé vào bờ. Chúng ta cũng có thể nhìn thấy một con cá lớn đang đang chạy trên bờ. Chúng ta cũng có thể nhìn thấy một con cá lớn đang đang đang chạy trên bờ.
+Bức tranh có thể được mô tả là một con cá lớn đang đang sinh sống trên bờ biển Peru. Nó là một bức tranh độc đáo và có ý nghĩa. Nó thể hiện sự hi sinh và sự kiên cường của con cá. Nó cũng thể hiện sự hi sinh và sự kiên cường của con người. Nó cũng thể hiện sự hi sinh và sự kiên cường của cả hai.
+Mặc dù bức tranh không
+Chiếc xe có màu trắng.
+model
+Chiếc xe có màu trắng. Nó có thể là một chiếc xe tải, một chiếc xe khách hàng hoặc một chiếc xe taxi.
+model
+Đây là chiếc xe taxi. Nó có màu trắng và có thể được sử dụng để vận chuyển khách hàng.
+Người đàn ông đang ngồi trên một ghế, chuẩn bị để bắt đầu một cuộc trò chơi. Anh ta đang cầm một chiếc bút bi, và anh ta đang chuẩn bị viết một cái gì đó trên một trang giấy.
+, người đàn ông đang ngồi trên ghế, chuẩn bị viết một cái gì đó. Nó có thể là viết một bài thơ, viết một bài tiểu thuyết, hoặc viết một bức tranh., người đàn ông đang ngồi trên ghế, chuẩn bị viết một bài thơ. Nó có thể là viết một bài thơ, viết một bài tiểu thuyết, hoặc viết một bức tranh. Mejía, người đàn ông đang ngồi trên ghế, chuẩn bị viết một cái gì đó.
+Vậy, người đàn ông đang làm gì đó. Mục tiêu của mình là để tạo ra những câu thơ hay và ý nghĩa. Anh ấy đang chuẩn bị viết một bài thơ, và anh ấy đang tập trung vào việc làm những câu thơ ấy.
+ avancée, người đàn ông đang ngồi trên ghế, chuẩn bị viết một bài thơ. Anh ấy đang tập trung vào việc viết những câu thơ, và anh ấy đang rất chuyên nghiệp. Anh ấy có thể là một nhà thơ, một nhà văn học, hoặc một nghệ sĩ. surplomb, người đàn ông đang ngồi trên ghế, chuẩn bị viết một bài thơ.
+Mục tiêu
+Trong bức ảnh, bạn thấy một con cá lớn đang ngứa nước.
+model
+Trong bức ảnh, bạn thấy một con cá lớn đang ngứa nước. Nó đang ngứa nước từ cổ và thân của mình.
+model
+Có vẻ như con cá đang ngứa nước từ cổ và thân của mình. Nó đang ngứa nước từ cổ và thân của mình. Đối với việc cá đang ngứa nước, có thể do một số lý do:
+- Cá đang bị thương do một vật kim loại hoặc một vật liệu khác.
+- Cá đang bị thương bởi một con cá khác.
+- Cá đang bị thương bởi một con cá khác.
+- Cá đang bị thương bởi một con cá khác.
+ Ngoài ra, cá cũng có thể bị thương bởi một con cá khác.
+ Ngoài ra, cá cũng có thể bị thương bởi một con cá khác.
+ Ngoài ra, cá cũng có thể bị thương bởi một con cá khác.
+ Ngoài ra, cá cũng có thể bị thương bởi một con cá khác.
+ Ngoài ra, cá cũng có thể bị thương bởi một con cá khác.
+ Ngoài ra, cá cũng có thể bị thương bởi một con cá khác.
+ Ngoài ra, cá cũng có thể bị thương bởi một con cá khác.
+ Ngoài ra, cá cũng có thể bị thương bởi một con cá khác.
+ Ngoài ra, cá cũng có thể bị thương bởi một con cá khác.
+ Ngoài ra, cá
+Trong bức ảnh, bạn thấy một con cá lớn đang ngứa nước.
+model
+Trong bức ảnh, bạn thấy một con cá lớn đang ngứa nước. Nó đang ngứa nước từ cổ và thân của mình.
+model
+Có vẻ như con cá đang ngứa nước từ cổ và thân của mình. Nó đang ngứa nước từ cổ và thân của mình. Đối với việc cá đang ngứa nước, có thể do một số lý do:
+-
+Người đàn ông đang lái chiếc xe máy, điều khiển nó trên đường cao tốc. Anh ta đang lái xe máy với một tay, điều khiển nó bằng tay và với tay kia, anh ta lái xe.
+model
+Người đàn ông đang lái chiếc xe máy, điều khiển nó trên đường cao tốc. Anh ta đang lái xe máy với một tay, điều khiển nó bằng tay và với tay kia, anh ta lái xe máy.
+Có hai con mèo đang chơi trên sàn nhà.
+model
+Có hai con mèo đang chơi trên sàn nhà. Họ đang chạy và chạy theo nhau, và chúng đang chạy theo nhau. Họ đang chơi theo nhau, và chúng đang chạy theo nhau. Họ đang chơi theo nhau, và chúng đang chạy theo nhau. Họ đang chơi theo nhau, và chúng đang chạy theo nhau. Chúng đang chơi theo nhau, và chúng đang chạy theo nhau. Chúng đang chơi theo nhau, và chúng
+You are adding a <class 'transformers.integrations.integration_utils.WandbCallback'> to the callbacks of this Trainer, but there is already one. The currentlist of callbacks is
+:DefaultFlowCallback
+WandbCallback

wandb/run-20240724_135436-jv4m57pj/files/requirements.txt

@@ -0,0 +1,876 @@
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