Delete wandb

wandb/debug-internal.log

@@ -1,59 +0,0 @@
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wandb/debug.log

@@ -1,105 +0,0 @@
-2025-02-16 11:37:12,772 INFO    MainThread:424 [wandb_setup.py:_flush():68] Current SDK version is 0.19.6
-2025-02-16 11:37:12,772 INFO    MainThread:424 [wandb_setup.py:_flush():68] Configure stats pid to 424
-2025-02-16 11:37:12,772 INFO    MainThread:424 [wandb_setup.py:_flush():68] Loading settings from /root/.config/wandb/settings
-2025-02-16 11:37:12,772 INFO    MainThread:424 [wandb_setup.py:_flush():68] Loading settings from /content/wandb/settings
-2025-02-16 11:37:12,772 INFO    MainThread:424 [wandb_setup.py:_flush():68] Loading settings from environment variables
-2025-02-16 11:37:12,772 INFO    MainThread:424 [wandb_init.py:setup_run_log_directory():637] Logging user logs to /content/wandb/run-20250216_113712-ypm5ne5j/logs/debug.log
-2025-02-16 11:37:12,772 INFO    MainThread:424 [wandb_init.py:setup_run_log_directory():638] Logging internal logs to /content/wandb/run-20250216_113712-ypm5ne5j/logs/debug-internal.log
-2025-02-16 11:37:12,772 INFO    MainThread:424 [wandb_init.py:monkeypatch_ipython():589] configuring jupyter hooks <wandb.sdk.wandb_init._WandbInit object at 0x7b854f1c3f90>
-2025-02-16 11:37:12,773 INFO    MainThread:424 [wandb_init.py:init():756] calling init triggers
-2025-02-16 11:37:12,773 INFO    MainThread:424 [wandb_init.py:init():761] wandb.init called with sweep_config: {}
-config: {'_wandb': {}}
-2025-02-16 11:37:12,773 INFO    MainThread:424 [wandb_init.py:init():789] starting backend
-2025-02-16 11:37:13,192 INFO    MainThread:424 [wandb_init.py:init():793] sending inform_init request
-2025-02-16 11:37:13,200 INFO    MainThread:424 [backend.py:_multiprocessing_setup():97] multiprocessing start_methods=fork,spawn,forkserver, using: spawn
-2025-02-16 11:37:13,201 INFO    MainThread:424 [wandb_init.py:init():808] backend started and connected
-2025-02-16 11:37:13,207 INFO    MainThread:424 [wandb_run.py:_label_probe_notebook():1196] probe notebook
-2025-02-16 11:37:13,461 INFO    MainThread:424 [wandb_init.py:init():901] updated telemetry
-2025-02-16 11:37:13,462 INFO    MainThread:424 [wandb_init.py:init():936] communicating run to backend with 90.0 second timeout
-2025-02-16 11:37:13,572 INFO    MainThread:424 [wandb_init.py:init():994] starting run threads in backend
-2025-02-16 11:37:13,961 INFO    MainThread:424 [wandb_run.py:_console_start():2385] atexit reg
-2025-02-16 11:37:13,961 INFO    MainThread:424 [wandb_run.py:_redirect():2235] redirect: wrap_raw
-2025-02-16 11:37:13,961 INFO    MainThread:424 [wandb_run.py:_redirect():2300] Wrapping output streams.
-2025-02-16 11:37:13,962 INFO    MainThread:424 [wandb_run.py:_redirect():2325] Redirects installed.
-2025-02-16 11:37:13,967 INFO    MainThread:424 [wandb_init.py:init():1036] run started, returning control to user process
-2025-02-16 11:37:13,970 INFO    MainThread:424 [wandb_run.py:_config_callback():1253] config_cb None None {'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': False, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'max_length': 20, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 'num_beam_groups': 1, 'diversity_penalty': 0.0, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'typical_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'no_repeat_ngram_size': 0, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 'remove_invalid_values': False, 'exponential_decay_length_penalty': None, 'suppress_tokens': None, 'begin_suppress_tokens': None, 'architectures': ['BertForMaskedLM'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1', 2: 'LABEL_2', 3: 'LABEL_3', 4: 'LABEL_4', 5: 'LABEL_5', 6: 'LABEL_6', 7: 'LABEL_7', 8: 'LABEL_8', 9: 'LABEL_9', 10: 'LABEL_10', 11: 'LABEL_11', 12: 'LABEL_12', 13: 'LABEL_13', 14: 'LABEL_14', 15: 'LABEL_15', 16: 'LABEL_16', 17: 'LABEL_17', 18: 'LABEL_18', 19: 'LABEL_19'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1, 'LABEL_2': 2, 'LABEL_3': 3, 'LABEL_4': 4, 'LABEL_5': 5, 'LABEL_6': 6, 'LABEL_7': 7, 'LABEL_8': 8, 'LABEL_9': 9, 'LABEL_10': 10, 'LABEL_11': 11, 'LABEL_12': 12, 'LABEL_13': 13, 'LABEL_14': 14, 'LABEL_15': 15, 'LABEL_16': 16, 'LABEL_17': 17, 'LABEL_18': 18, 'LABEL_19': 19}, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': None, 'pad_token_id': 0, 'eos_token_id': None, 'sep_token_id': None, 'decoder_start_token_id': None, 'task_specific_params': None, 'problem_type': None, '_name_or_path': 'monologg/biobert_v1.1_pubmed', '_attn_implementation_autoset': True, 'transformers_version': '4.48.3', 'model_type': 'bert', 'vocab_size': 28996, 'hidden_size': 768, 'num_hidden_layers': 12, 'num_attention_heads': 12, 'hidden_act': 'gelu', 'intermediate_size': 3072, 'hidden_dropout_prob': 0.1, 'attention_probs_dropout_prob': 0.1, 'max_position_embeddings': 512, 'type_vocab_size': 2, 'initializer_range': 0.02, 'layer_norm_eps': 1e-12, 'position_embedding_type': 'absolute', 'use_cache': True, 'classifier_dropout': None, 'output_dir': './results', 'overwrite_output_dir': False, 'do_train': False, 'do_eval': True, 'do_predict': False, 'eval_strategy': 'epoch', 'prediction_loss_only': False, 'per_device_train_batch_size': 16, 'per_device_eval_batch_size': 16, 'per_gpu_train_batch_size': None, 'per_gpu_eval_batch_size': None, 'gradient_accumulation_steps': 2, 'eval_accumulation_steps': None, 'eval_delay': 0, 'torch_empty_cache_steps': None, 'learning_rate': 2e-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': 5, 'max_steps': -1, 'lr_scheduler_type': 'linear', 'lr_scheduler_kwargs': {}, 'warmup_ratio': 0.0, 'warmup_steps': 500, 'log_level': 'passive', 'log_level_replica': 'warning', 'log_on_each_node': True, 'logging_dir': './logs', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 10, 'logging_nan_inf_filter': True, 'save_strategy': 'epoch', 'save_steps': 500, 'save_total_limit': 3, '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': './results', 'disable_tqdm': False, 'remove_unused_columns': True, 'label_names': None, 'load_best_model_at_end': True, 'metric_for_best_model': 'eval_loss', 'greater_is_better': False, 'ignore_data_skip': False, 'fsdp': [], 'fsdp_min_num_params': 0, 'fsdp_config': {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, 'fsdp_transformer_layer_cls_to_wrap': None, 'accelerator_config': {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, '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': ['tensorboard', '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': False, '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': 'epoch', '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, 'use_liger_kernel': False, 'eval_use_gather_object': False, 'average_tokens_across_devices': False}
-2025-02-16 11:37:13,973 INFO    MainThread:424 [wandb_config.py:__setitem__():154] config set model/num_parameters = 108325652 - <bound method Run._config_callback of <wandb.sdk.wandb_run.Run object at 0x7b854e7497d0>>
-2025-02-16 11:37:13,973 INFO    MainThread:424 [wandb_run.py:_config_callback():1253] config_cb model/num_parameters 108325652 None
-2025-02-16 11:38:48,229 INFO    MainThread:424 [jupyter.py:save_ipynb():386] not saving jupyter notebook
-2025-02-16 11:38:48,229 INFO    MainThread:424 [wandb_init.py:_pause_backend():554] pausing backend
-2025-02-16 11:39:39,362 INFO    MainThread:424 [wandb_init.py:_resume_backend():559] resuming backend
-2025-02-16 11:39:41,893 INFO    MainThread:424 [jupyter.py:save_ipynb():386] not saving jupyter notebook
-2025-02-16 11:39:41,893 INFO    MainThread:424 [wandb_init.py:_pause_backend():554] pausing backend
-2025-02-16 11:39:54,593 INFO    MainThread:424 [wandb_init.py:_resume_backend():559] resuming backend
-2025-02-16 11:39:56,811 INFO    MainThread:424 [jupyter.py:save_ipynb():386] not saving jupyter notebook
-2025-02-16 11:39:56,811 INFO    MainThread:424 [wandb_init.py:_pause_backend():554] pausing backend
-2025-02-16 11:41:06,824 INFO    MainThread:424 [wandb_init.py:_resume_backend():559] resuming backend
-2025-02-16 11:41:07,752 INFO    MainThread:424 [jupyter.py:save_ipynb():386] not saving jupyter notebook
-2025-02-16 11:41:07,752 INFO    MainThread:424 [wandb_init.py:_pause_backend():554] pausing backend
-2025-02-16 11:42:12,191 INFO    MainThread:424 [wandb_init.py:_resume_backend():559] resuming backend
-2025-02-16 11:42:12,282 INFO    MainThread:424 [jupyter.py:save_ipynb():386] not saving jupyter notebook
-2025-02-16 11:42:12,283 INFO    MainThread:424 [wandb_init.py:_pause_backend():554] pausing backend
-2025-02-16 11:42:41,349 INFO    MainThread:424 [wandb_init.py:_resume_backend():559] resuming backend
-2025-02-16 11:42:41,351 INFO    MainThread:424 [jupyter.py:save_ipynb():386] not saving jupyter notebook
-2025-02-16 11:42:41,351 INFO    MainThread:424 [wandb_init.py:_pause_backend():554] pausing backend
-2025-02-16 11:53:23,915 INFO    MainThread:424 [wandb_init.py:_resume_backend():559] resuming backend
-2025-02-16 11:53:23,959 INFO    MainThread:424 [jupyter.py:save_ipynb():386] not saving jupyter notebook
-2025-02-16 11:53:23,959 INFO    MainThread:424 [wandb_init.py:_pause_backend():554] pausing backend
-2025-02-16 11:54:40,152 INFO    MainThread:424 [wandb_init.py:_resume_backend():559] resuming backend
-2025-02-16 11:54:43,074 INFO    MainThread:424 [jupyter.py:save_ipynb():386] not saving jupyter notebook
-2025-02-16 11:54:43,074 INFO    MainThread:424 [wandb_init.py:_pause_backend():554] pausing backend
-2025-02-16 11:54:47,046 INFO    MainThread:424 [wandb_init.py:_resume_backend():559] resuming backend
-2025-02-16 11:54:47,450 INFO    MainThread:424 [jupyter.py:save_ipynb():386] not saving jupyter notebook
-2025-02-16 11:54:47,450 INFO    MainThread:424 [wandb_init.py:_pause_backend():554] pausing backend
-2025-02-16 11:55:29,494 INFO    MainThread:424 [wandb_init.py:_resume_backend():559] resuming backend
-2025-02-16 11:55:33,323 INFO    MainThread:424 [jupyter.py:save_ipynb():386] not saving jupyter notebook
-2025-02-16 11:55:33,323 INFO    MainThread:424 [wandb_init.py:_pause_backend():554] pausing backend
-2025-02-16 11:55:43,659 INFO    MainThread:424 [wandb_init.py:_resume_backend():559] resuming backend
-2025-02-16 11:55:45,971 INFO    MainThread:424 [jupyter.py:save_ipynb():386] not saving jupyter notebook
-2025-02-16 11:55:45,971 INFO    MainThread:424 [wandb_init.py:_pause_backend():554] pausing backend
-2025-02-16 11:55:51,874 INFO    MainThread:424 [wandb_init.py:_resume_backend():559] resuming backend
-2025-02-16 11:55:51,924 INFO    MainThread:424 [jupyter.py:save_ipynb():386] not saving jupyter notebook
-2025-02-16 11:55:51,924 INFO    MainThread:424 [wandb_init.py:_pause_backend():554] pausing backend
-2025-02-16 11:56:38,941 INFO    MainThread:424 [wandb_init.py:_resume_backend():559] resuming backend
-2025-02-16 11:56:39,032 INFO    MainThread:424 [jupyter.py:save_ipynb():386] not saving jupyter notebook
-2025-02-16 11:56:39,033 INFO    MainThread:424 [wandb_init.py:_pause_backend():554] pausing backend
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-2025-02-16 11:57:37,135 INFO    MainThread:424 [wandb_init.py:_pause_backend():554] pausing backend
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-2025-02-16 11:57:56,327 INFO    MainThread:424 [wandb_init.py:_pause_backend():554] pausing backend
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-2025-02-16 11:58:22,004 INFO    MainThread:424 [wandb_init.py:_pause_backend():554] pausing backend
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wandb/latest-run/files/output.log

@@ -1,179 +0,0 @@
-Classification Report:
-                                       precision    recall  f1-score   support
-
-          Acute Myocardial Infarction       1.00      1.00      1.00        44
-                  Acute Renal Failure       1.00      1.00      1.00        59
-                               Asthma       1.00      1.00      1.00        53
-             Cerebrovascular Accident       1.00      1.00      1.00        46
-               Chronic Kidney Disease       1.00      1.00      1.00        57
-Chronic Obstructive Pulmonary Disease       1.00      1.00      1.00        54
-         Community-Acquired Pneumonia       1.00      1.00      1.00        43
-             Congestive Heart Failure       1.00      1.00      1.00        53
-                 Deep Vein Thrombosis       1.00      1.00      1.00        56
-      Gastroesophageal Reflux Disease       1.00      1.00      1.00        37
-                         Hypertension       1.00      1.00      1.00        44
-                      Liver Cirrhosis       1.00      1.00      1.00        44
-                 Peptic Ulcer Disease       1.00      1.00      1.00        56
-                   Pulmonary Embolism       1.00      1.00      1.00        51
-                 Rheumatoid Arthritis       1.00      1.00      1.00        50
-                               Sepsis       1.00      1.00      1.00        46
-                         Septic Shock       1.00      1.00      1.00        48
-                               Stroke       1.00      1.00      1.00        52
-             Type 2 Diabetes Mellitus       1.00      1.00      1.00        62
-              Urinary Tract Infection       1.00      1.00      1.00        45
-
-                             accuracy                           1.00      1000
-                            macro avg       1.00      1.00      1.00      1000
-                         weighted avg       1.00      1.00      1.00      1000
-
-Classification Report:
-                                       precision    recall  f1-score   support
-
-          Acute Myocardial Infarction       1.00      1.00      1.00        44
-                  Acute Renal Failure       1.00      1.00      1.00        59
-                               Asthma       1.00      1.00      1.00        53
-             Cerebrovascular Accident       1.00      1.00      1.00        46
-               Chronic Kidney Disease       1.00      1.00      1.00        57
-Chronic Obstructive Pulmonary Disease       1.00      1.00      1.00        54
-         Community-Acquired Pneumonia       1.00      1.00      1.00        43
-             Congestive Heart Failure       1.00      1.00      1.00        53
-                 Deep Vein Thrombosis       1.00      1.00      1.00        56
-      Gastroesophageal Reflux Disease       1.00      1.00      1.00        37
-                         Hypertension       1.00      1.00      1.00        44
-                      Liver Cirrhosis       1.00      1.00      1.00        44
-                 Peptic Ulcer Disease       1.00      1.00      1.00        56
-                   Pulmonary Embolism       1.00      1.00      1.00        51
-                 Rheumatoid Arthritis       1.00      1.00      1.00        50
-                               Sepsis       1.00      1.00      1.00        46
-                         Septic Shock       1.00      1.00      1.00        48
-                               Stroke       1.00      1.00      1.00        52
-             Type 2 Diabetes Mellitus       1.00      1.00      1.00        62
-              Urinary Tract Infection       1.00      1.00      1.00        45
-
-                             accuracy                           1.00      1000
-                            macro avg       1.00      1.00      1.00      1000
-                         weighted avg       1.00      1.00      1.00      1000
-
-Collecting fastapi
-  Downloading fastapi-0.115.8-py3-none-any.whl.metadata (27 kB)
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-   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 94.8/94.8 kB 4.8 MB/s eta 0:00:00
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-[?25hInstalling collected packages: uvicorn, starlette, fastapi
-Successfully installed fastapi-0.115.8 starlette-0.45.3 uvicorn-0.34.0
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-[?25hInstalling collected packages: PyPDF2
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-ERROR: No matching distribution found for io
-Requirement already satisfied: PyPDF2 in /usr/local/lib/python3.11/dist-packages (3.0.1)
-ERROR:fastapi:Form data requires "python-multipart" to be installed.
-You can install "python-multipart" with:
-
-pip install python-multipart
-Collecting python-multipart
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-Installing collected packages: python-multipart
-Successfully installed python-multipart-0.0.20
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-  adding: content/ (stored 0%)                                                                      
-
-ERROR:pyngrok.process.ngrok:t=2025-02-16T12:08:19+0000 lvl=eror msg="failed to reconnect session" obj=tunnels.session err="authentication failed: Usage of ngrok requires a verified account and authtoken.\n\nSign up for an account: https://dashboard.ngrok.com/signup\nInstall your authtoken: https://dashboard.ngrok.com/get-started/your-authtoken\r\n\r\nERR_NGROK_4018\r\n"
-ERROR:pyngrok.process.ngrok:t=2025-02-16T12:08:19+0000 lvl=eror msg="session closing" obj=tunnels.session err="authentication failed: Usage of ngrok requires a verified account and authtoken.\n\nSign up for an account: https://dashboard.ngrok.com/signup\nInstall your authtoken: https://dashboard.ngrok.com/get-started/your-authtoken\r\n\r\nERR_NGROK_4018\r\n"
-ERROR:pyngrok.process.ngrok:t=2025-02-16T12:08:19+0000 lvl=eror msg="terminating with error" obj=app err="authentication failed: Usage of ngrok requires a verified account and authtoken.\n\nSign up for an account: https://dashboard.ngrok.com/signup\nInstall your authtoken: https://dashboard.ngrok.com/get-started/your-authtoken\r\n\r\nERR_NGROK_4018\r\n"
-CRITICAL:pyngrok.process.ngrok:t=2025-02-16T12:08:19+0000 lvl=crit msg="command failed" err="authentication failed: Usage of ngrok requires a verified account and authtoken.\n\nSign up for an account: https://dashboard.ngrok.com/signup\nInstall your authtoken: https://dashboard.ngrok.com/get-started/your-authtoken\r\n\r\nERR_NGROK_4018\r\n"
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-  adding: content/patient_model/model.safetensors

wandb/latest-run/files/requirements.txt

@@ -1,615 +0,0 @@
-xxhash==3.5.0
-multiprocess==0.70.16
-dill==0.3.8
-datasets==3.3.0
-google-colab==1.0.0
-nvidia-cuda-nvcc-cu12==12.5.82
-google-pasta==0.2.0
-psycopg2==2.9.10
-bigquery-magics==0.5.0
-referencing==0.36.2
-text-unidecode==1.3
-aiohttp==3.11.12
-arviz==0.20.0
-Markdown==3.7
-Sphinx==8.1.3
-gym==0.25.2
-altair==5.5.0
-opt_einsum==3.4.0
-datascience==0.17.6
-geographiclib==2.0
-nest-asyncio==1.6.0
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-orjson==3.10.15
-imageio==2.37.0
-sigstore-protobuf-specs==0.3.2
-mistune==3.1.1
-flatbuffers==25.2.10
-PyJWT==2.10.1
-logical-unification==0.4.6
-lxml==5.3.1
-google-cloud-core==2.4.1
-fastai==2.7.18
-pylibcugraph-cu12==24.12.0
-google-ai-generativelanguage==0.6.15
-email_validator==2.2.0
-scs==3.2.7.post2
-pillow==11.1.0
-docker-pycreds==0.4.0
-dnspython==2.7.0
-cmake==3.31.4
-thinc==8.2.5
-fastrlock==0.8.3
-immutabledict==4.2.1
-entrypoints==0.4
-rpy2==3.4.2
-huggingface-hub==0.28.1
-duckdb==1.1.3
-pandas-stubs==2.2.2.240909
-toolz==0.12.1
-jax-cuda12-plugin==0.4.33
-nibabel==5.3.2
-sphinxcontrib-applehelp==2.0.0
-pynvjitlink-cu12==0.5.0
-babel==2.17.0
-future==1.0.0
-plotnine==0.14.5
-matplotlib-inline==0.1.7
-srsly==2.5.1
-textblob==0.19.0
-pyperclip==1.9.0
-httplib2==0.22.0
-matplotlib==3.10.0
-xlrd==2.0.1
-jupyter-server==1.24.0
-google-cloud-bigquery-storage==2.28.0
-pytensor==2.27.1
-sphinxcontrib-qthelp==2.0.0
-typer==0.15.1
-tensorboard-data-server==0.7.2
-google-cloud-datastore==2.20.2
-plotly==5.24.1
-ipython-sql==0.5.0
-etuples==0.3.9
-PyDrive2==1.21.3
-shap==0.46.0
-google-auth-httplib2==0.2.0
-spacy-loggers==1.0.5
-cachetools==5.5.1
-platformdirs==4.3.6
-MarkupSafe==3.0.2
-wrapt==1.17.2
-docstring_parser==0.16
-sentry-sdk==2.21.0
-kaggle==1.6.17
-highspy==1.9.0
-cloudpickle==3.1.1
-jsonpickle==4.0.1
-pygit2==1.17.0
-python-dateutil==2.8.2
-python-louvain==0.16
-opencv-python-headless==4.11.0.86
-namex==0.0.8
-folium==0.19.4
-Pygments==2.18.0
-ptyprocess==0.7.0
-rpds-py==0.22.3
-optax==0.2.4
-nvidia-cublas-cu12==12.5.3.2
-joblib==1.4.2
-pyparsing==3.2.1
-python-utils==3.9.1
-astropy==7.0.1
-decorator==4.4.2
-multidict==6.1.0
-urllib3==2.3.0
-orbax-checkpoint==0.6.4
-python-slugify==8.0.4
-google-auth==2.27.0
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wandb/latest-run/files/wandb-metadata.json

@@ -1,37 +0,0 @@
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-  "executable":  "/usr/bin/python3",
-  "colab":  "https://colab.research.google.com/notebook#fileId=1H0jGicwNpMGoUFXTDmKWpvq0U2xvekLG",
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wandb/latest-run/logs/debug-core.log

@@ -1,6 +0,0 @@
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wandb/latest-run/logs/debug-internal.log

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-2025-02-16 12:08:13,900 INFO    MainThread:424 [jupyter.py:save_ipynb():386] not saving jupyter notebook
-2025-02-16 12:08:13,900 INFO    MainThread:424 [wandb_init.py:_pause_backend():554] pausing backend
-2025-02-16 12:08:18,486 INFO    MainThread:424 [wandb_init.py:_resume_backend():559] resuming backend
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-2025-02-16 12:08:19,959 INFO    MainThread:424 [wandb_init.py:_pause_backend():554] pausing backend
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wandb/run-20250216_113712-ypm5ne5j/files/output.log

@@ -1,184 +0,0 @@
-Classification Report:
-                                       precision    recall  f1-score   support
-
-          Acute Myocardial Infarction       1.00      1.00      1.00        44
-                  Acute Renal Failure       1.00      1.00      1.00        59
-                               Asthma       1.00      1.00      1.00        53
-             Cerebrovascular Accident       1.00      1.00      1.00        46
-               Chronic Kidney Disease       1.00      1.00      1.00        57
-Chronic Obstructive Pulmonary Disease       1.00      1.00      1.00        54
-         Community-Acquired Pneumonia       1.00      1.00      1.00        43
-             Congestive Heart Failure       1.00      1.00      1.00        53
-                 Deep Vein Thrombosis       1.00      1.00      1.00        56
-      Gastroesophageal Reflux Disease       1.00      1.00      1.00        37
-                         Hypertension       1.00      1.00      1.00        44
-                      Liver Cirrhosis       1.00      1.00      1.00        44
-                 Peptic Ulcer Disease       1.00      1.00      1.00        56
-                   Pulmonary Embolism       1.00      1.00      1.00        51
-                 Rheumatoid Arthritis       1.00      1.00      1.00        50
-                               Sepsis       1.00      1.00      1.00        46
-                         Septic Shock       1.00      1.00      1.00        48
-                               Stroke       1.00      1.00      1.00        52
-             Type 2 Diabetes Mellitus       1.00      1.00      1.00        62
-              Urinary Tract Infection       1.00      1.00      1.00        45
-
-                             accuracy                           1.00      1000
-                            macro avg       1.00      1.00      1.00      1000
-                         weighted avg       1.00      1.00      1.00      1000
-
-Classification Report:
-                                       precision    recall  f1-score   support
-
-          Acute Myocardial Infarction       1.00      1.00      1.00        44
-                  Acute Renal Failure       1.00      1.00      1.00        59
-                               Asthma       1.00      1.00      1.00        53
-             Cerebrovascular Accident       1.00      1.00      1.00        46
-               Chronic Kidney Disease       1.00      1.00      1.00        57
-Chronic Obstructive Pulmonary Disease       1.00      1.00      1.00        54
-         Community-Acquired Pneumonia       1.00      1.00      1.00        43
-             Congestive Heart Failure       1.00      1.00      1.00        53
-                 Deep Vein Thrombosis       1.00      1.00      1.00        56
-      Gastroesophageal Reflux Disease       1.00      1.00      1.00        37
-                         Hypertension       1.00      1.00      1.00        44
-                      Liver Cirrhosis       1.00      1.00      1.00        44
-                 Peptic Ulcer Disease       1.00      1.00      1.00        56
-                   Pulmonary Embolism       1.00      1.00      1.00        51
-                 Rheumatoid Arthritis       1.00      1.00      1.00        50
-                               Sepsis       1.00      1.00      1.00        46
-                         Septic Shock       1.00      1.00      1.00        48
-                               Stroke       1.00      1.00      1.00        52
-             Type 2 Diabetes Mellitus       1.00      1.00      1.00        62
-              Urinary Tract Infection       1.00      1.00      1.00        45
-
-                             accuracy                           1.00      1000
-                            macro avg       1.00      1.00      1.00      1000
-                         weighted avg       1.00      1.00      1.00      1000
-
-Collecting fastapi
-  Downloading fastapi-0.115.8-py3-none-any.whl.metadata (27 kB)
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-Requirement already satisfied: typing-extensions>=4.8.0 in /usr/local/lib/python3.11/dist-packages (from fastapi) (4.12.2)
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-Requirement already satisfied: pydantic-core==2.27.2 in /usr/local/lib/python3.11/dist-packages (from pydantic!=1.8,!=1.8.1,!=2.0.0,!=2.0.1,!=2.1.0,<3.0.0,>=1.7.4->fastapi) (2.27.2)
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-Downloading fastapi-0.115.8-py3-none-any.whl (94 kB)
-   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 94.8/94.8 kB 4.8 MB/s eta 0:00:00
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-[?25hInstalling collected packages: uvicorn, starlette, fastapi
-Successfully installed fastapi-0.115.8 starlette-0.45.3 uvicorn-0.34.0
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-[?25hInstalling collected packages: PyPDF2
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-ERROR: No matching distribution found for io
-Requirement already satisfied: PyPDF2 in /usr/local/lib/python3.11/dist-packages (3.0.1)
-ERROR:fastapi:Form data requires "python-multipart" to be installed.
-You can install "python-multipart" with:
-
-pip install python-multipart
-Collecting python-multipart
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-  adding: content/ (stored 0%)                                                                      
-
-ERROR:pyngrok.process.ngrok:t=2025-02-16T12:08:19+0000 lvl=eror msg="failed to reconnect session" obj=tunnels.session err="authentication failed: Usage of ngrok requires a verified account and authtoken.\n\nSign up for an account: https://dashboard.ngrok.com/signup\nInstall your authtoken: https://dashboard.ngrok.com/get-started/your-authtoken\r\n\r\nERR_NGROK_4018\r\n"
-ERROR:pyngrok.process.ngrok:t=2025-02-16T12:08:19+0000 lvl=eror msg="session closing" obj=tunnels.session err="authentication failed: Usage of ngrok requires a verified account and authtoken.\n\nSign up for an account: https://dashboard.ngrok.com/signup\nInstall your authtoken: https://dashboard.ngrok.com/get-started/your-authtoken\r\n\r\nERR_NGROK_4018\r\n"
-ERROR:pyngrok.process.ngrok:t=2025-02-16T12:08:19+0000 lvl=eror msg="terminating with error" obj=app err="authentication failed: Usage of ngrok requires a verified account and authtoken.\n\nSign up for an account: https://dashboard.ngrok.com/signup\nInstall your authtoken: https://dashboard.ngrok.com/get-started/your-authtoken\r\n\r\nERR_NGROK_4018\r\n"
-CRITICAL:pyngrok.process.ngrok:t=2025-02-16T12:08:19+0000 lvl=crit msg="command failed" err="authentication failed: Usage of ngrok requires a verified account and authtoken.\n\nSign up for an account: https://dashboard.ngrok.com/signup\nInstall your authtoken: https://dashboard.ngrok.com/get-started/your-authtoken\r\n\r\nERR_NGROK_4018\r\n"
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-  adding: content/patient_model/config.json (deflated 62%)
-  adding: content/patient_model/tokenizer_config.json (deflated 75%)
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wandb/run-20250216_113712-ypm5ne5j/files/requirements.txt

@@ -1,615 +0,0 @@
-xxhash==3.5.0
-multiprocess==0.70.16
-dill==0.3.8
-datasets==3.3.0
-google-colab==1.0.0
-nvidia-cuda-nvcc-cu12==12.5.82
-google-pasta==0.2.0
-psycopg2==2.9.10
-bigquery-magics==0.5.0
-referencing==0.36.2
-text-unidecode==1.3
-aiohttp==3.11.12
-arviz==0.20.0
-Markdown==3.7
-Sphinx==8.1.3
-gym==0.25.2
-altair==5.5.0
-opt_einsum==3.4.0
-datascience==0.17.6
-geographiclib==2.0
-nest-asyncio==1.6.0
-nvidia-cuda-cupti-cu12==12.5.82
-orjson==3.10.15
-imageio==2.37.0
-sigstore-protobuf-specs==0.3.2
-mistune==3.1.1
-flatbuffers==25.2.10
-PyJWT==2.10.1
-logical-unification==0.4.6
-lxml==5.3.1
-google-cloud-core==2.4.1
-fastai==2.7.18
-pylibcugraph-cu12==24.12.0
-google-ai-generativelanguage==0.6.15
-email_validator==2.2.0
-scs==3.2.7.post2
-pillow==11.1.0
-docker-pycreds==0.4.0
-dnspython==2.7.0
-cmake==3.31.4
-thinc==8.2.5
-fastrlock==0.8.3
-immutabledict==4.2.1
-entrypoints==0.4
-rpy2==3.4.2
-huggingface-hub==0.28.1
-duckdb==1.1.3
-pandas-stubs==2.2.2.240909
-toolz==0.12.1
-jax-cuda12-plugin==0.4.33
-nibabel==5.3.2
-sphinxcontrib-applehelp==2.0.0
-pynvjitlink-cu12==0.5.0
-babel==2.17.0
-future==1.0.0
-plotnine==0.14.5
-matplotlib-inline==0.1.7
-srsly==2.5.1
-textblob==0.19.0
-pyperclip==1.9.0
-httplib2==0.22.0
-matplotlib==3.10.0
-xlrd==2.0.1
-jupyter-server==1.24.0
-google-cloud-bigquery-storage==2.28.0
-pytensor==2.27.1
-sphinxcontrib-qthelp==2.0.0
-typer==0.15.1
-tensorboard-data-server==0.7.2
-google-cloud-datastore==2.20.2
-plotly==5.24.1
-ipython-sql==0.5.0
-etuples==0.3.9
-PyDrive2==1.21.3
-shap==0.46.0
-google-auth-httplib2==0.2.0
-spacy-loggers==1.0.5
-cachetools==5.5.1
-platformdirs==4.3.6
-MarkupSafe==3.0.2
-wrapt==1.17.2
-docstring_parser==0.16
-sentry-sdk==2.21.0
-kaggle==1.6.17
-highspy==1.9.0
-cloudpickle==3.1.1
-jsonpickle==4.0.1
-pygit2==1.17.0
-python-dateutil==2.8.2
-python-louvain==0.16
-opencv-python-headless==4.11.0.86
-namex==0.0.8
-folium==0.19.4
-Pygments==2.18.0
-ptyprocess==0.7.0
-rpds-py==0.22.3
-optax==0.2.4
-nvidia-cublas-cu12==12.5.3.2
-joblib==1.4.2
-pyparsing==3.2.1
-python-utils==3.9.1
-astropy==7.0.1
-decorator==4.4.2
-multidict==6.1.0
-urllib3==2.3.0
-orbax-checkpoint==0.6.4
-python-slugify==8.0.4
-google-auth==2.27.0
-setproctitle==1.3.4
-google-cloud-bigquery-connection==1.17.0
-multitasking==0.0.11
-statsmodels==0.14.4
-GDAL==3.6.4
-zipp==3.21.0
-cmdstanpy==1.2.5
-regex==2024.11.6
-torch==2.5.1+cu124
-preshed==3.0.9
-Send2Trash==1.8.3
-catalogue==2.0.10
-nvidia-curand-cu12==10.3.6.82
-xgboost==2.1.4
-CacheControl==0.14.2
-prompt_toolkit==3.0.50
-opencv-contrib-python==4.11.0.86
-stringzilla==3.11.3
-cycler==0.12.1
-absl-py==1.4.0
-music21==9.3.0
-nvidia-nvjitlink-cu12==12.5.82
-tensorflow-hub==0.16.1
-argon2-cffi==23.1.0
-pydantic_core==2.27.2
-keras==3.8.0
-tuf==5.1.0
-wasabi==1.1.3
-geemap==0.35.1
-google-api-core==2.19.2
-keras-nlp==0.18.1
-networkx==3.4.2
-grpcio-status==1.62.3
-simsimd==6.2.1
-numexpr==2.10.2
-snowballstemmer==2.2.0
-tcmlib==1.2.0
-opencv-python==4.11.0.86
-Pyomo==6.8.2
-scikit-learn==1.6.1
-pandas-gbq==0.26.1
-dlib==19.24.2
-intel-cmplr-lib-ur==2025.0.4
-langchain-core==0.3.35
-smart-open==7.1.0
-sphinxcontrib-devhelp==2.0.0
-importlib_metadata==8.6.1
-pyzmq==24.0.1
-tensorflow-datasets==4.9.7
-pathlib==1.0.1
-flax==0.10.3
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