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Generated from Trainer
sft
unsloth
trl
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Training in progress, step 80

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Files changed (11) hide show
  1. README.md +2 -2
  2. adapter_config.json +4 -4
  3. adapter_model.safetensors +2 -2
  4. doctype_entity_distribution.json +1 -1
  5. entity_distribution.json +1 -1
  6. file.log +42 -43
  7. ground_truth_data.json +0 -0
  8. gt_json.json +0 -0
  9. removed_files.json +2 -2
  10. runs/Oct11_13-44-09_b452fd6bf7ba/events.out.tfevents.1791726249.b452fd6bf7ba.10573.0 +3 -0
  11. training_args.bin +1 -1
README.md CHANGED
@@ -4,9 +4,9 @@ library_name: transformers
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  model_name: result
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  tags:
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  - generated_from_trainer
 
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  - unsloth
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  - trl
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- - sft
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  licence: license
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  ---
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@@ -36,7 +36,7 @@ This model was trained with SFT.
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  ### Framework versions
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- - TRL: 1.14.0
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  - Transformers: 5.14.1
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  - Pytorch: 2.7.1
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  - Datasets: 4.3.0
 
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  model_name: result
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  tags:
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  - generated_from_trainer
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+ - sft
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  - unsloth
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  - trl
 
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  licence: license
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  ---
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  ### Framework versions
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+ - TRL: 1.15.0
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  - Transformers: 5.14.1
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  - Pytorch: 2.7.1
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  - Datasets: 4.3.0
adapter_config.json CHANGED
@@ -21,7 +21,7 @@
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  "layers_pattern": null,
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  "layers_to_transform": null,
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  "loftq_config": {},
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- "lora_alpha": 512,
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  "lora_bias": false,
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  "lora_dropout": 0.05,
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  "lora_ga_config": null,
@@ -30,12 +30,12 @@
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  "modules_to_save": null,
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  "monteclora_config": null,
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  "peft_type": "LORA",
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- "peft_version": "0.21.0",
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  "qalora_group_size": 16,
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- "r": 256,
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  "rank_pattern": {},
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  "revision": null,
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  "target_parameters": null,
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  "task_type": "CAUSAL_LM",
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  "trainable_token_indices": null,
 
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  "layers_pattern": null,
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  "layers_to_transform": null,
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  "loftq_config": {},
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+ "lora_alpha": 64,
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  "lora_bias": false,
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  "lora_dropout": 0.05,
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  "lora_ga_config": null,
 
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  "modules_to_save": null,
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  "monteclora_config": null,
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  "peft_type": "LORA",
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+ "peft_version": "0.21.2",
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  "qalora_group_size": 16,
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+ "r": 32,
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  "rank_pattern": {},
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  "revision": null,
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+ "target_modules": "(?:.*?(?:language|text).*?(?:self_attn|attention|attn|mixer|mlp|feed_forward|ffn|dense|mixer).*?\\.(?:qkv|proj|linear_fc1|linear_fc2|out_proj|in_proj_qkv|in_proj_z|in_proj_b|in_proj_a|gate_proj|up_proj|down_proj|q_proj|k_proj|v_proj|o_proj))|(?:\\bmodel\\.layers\\.[\\d]{1,}(?!.*\\.experts\\.\\d)\\..*?(?:self_attn|attention|attn|mixer|mlp|feed_forward|ffn|dense|mixer).*?\\.(?:(?:qkv|proj|linear_fc1|linear_fc2|out_proj|in_proj_qkv|in_proj_z|in_proj_b|in_proj_a|gate_proj|up_proj|down_proj|q_proj|k_proj|v_proj|o_proj)))",
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  "target_parameters": null,
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  "task_type": "CAUSAL_LM",
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  "trainable_token_indices": null,
adapter_model.safetensors CHANGED
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doctype_entity_distribution.json CHANGED
@@ -19,11 +19,11 @@
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  "medicare_insurance_number": 1597,
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  "patient_address": 2303,
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  "patient_city": 2321,
 
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  "patient_state": 2429,
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  "patient_zip": 2363,
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  "phone_number": 1269,
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  "social_security_number": 180,
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- "patient_middle_name": 974,
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  "other_insurance_name_2": 17,
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  "other_insurance_number_2": 18
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  }
 
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  "medicare_insurance_number": 1597,
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  "patient_address": 2303,
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  "patient_city": 2321,
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  "patient_state": 2429,
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  "patient_zip": 2363,
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  "phone_number": 1269,
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  "social_security_number": 180,
 
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  "other_insurance_number_2": 18
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  }
entity_distribution.json CHANGED
@@ -18,11 +18,11 @@
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  "medicare_insurance_number": 1597,
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  "patient_address": 2303,
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  "patient_city": 2321,
 
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  "patient_state": 2429,
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  "patient_zip": 2363,
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  "phone_number": 1269,
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- "patient_middle_name": 974,
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  "other_insurance_name_2": 17,
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  "other_insurance_number_2": 18
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  }
 
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  "medicare_insurance_number": 1597,
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  "patient_address": 2303,
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  "patient_city": 2321,
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  "patient_state": 2429,
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  "patient_zip": 2363,
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  "phone_number": 1269,
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  "social_security_number": 180,
 
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  "other_insurance_name_2": 17,
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  "other_insurance_number_2": 18
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  }
file.log CHANGED
@@ -1,44 +1,43 @@
1
- 2026-09-26 08:47:48.779 | INFO | app.tasks.entity.vlm.dataset:create:716 - Using pre-split dataset mode
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- 2026-09-26 08:47:48.811 | INFO | app.tasks.entity.vlm.dataset:_download_current_splits:1641 - Downloading train dataset from s3://aitest-dexit-tech/data/__mlops__/dataset/entity/06a665f5-06bf-7f15-8000-acbbe709e051/train.json
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- 2026-09-26 08:47:49.224 | INFO | app.tasks.entity.vlm.dataset:_download_split_documents:1498 - Processing %s %s/%s with %d documents
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- 2026-09-26 08:48:24.172 | INFO | app.tasks.entity.vlm.dataset:_download_current_splits:1641 - Downloading val dataset from s3://aitest-dexit-tech/data/__mlops__/dataset/entity/06a665f5-06bf-7f15-8000-acbbe709e051/eval.json
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- 2026-09-26 08:48:24.400 | INFO | app.tasks.entity.vlm.dataset:_download_split_documents:1498 - Processing %s %s/%s with %d documents
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- 2026-09-26 08:48:29.540 | INFO | app.tasks.entity.vlm.dataset:_download_current_splits:1641 - Downloading test dataset from s3://aitest-dexit-tech/data/__mlops__/dataset/entity/06a665f5-06bf-7f15-8000-acbbe709e051/test.json
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- 2026-09-26 08:48:29.744 | INFO | app.tasks.entity.vlm.dataset:_download_split_documents:1498 - Processing %s %s/%s with %d documents
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- 2026-09-26 08:48:40.851 | INFO | app.tasks.entity.vlm.dataset:_download_miscellaneous:1688 - Downloading miscellaneous data from s3://aitest-dexit-tech/data/__mlops__/dataset/entity/06a665f5-06bf-7f15-8000-acbbe709e051/miscellaneous.json
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- 2026-09-26 08:48:41.032 | INFO | app.tasks.entity.vlm.dataset:_download_previous_datasets:1597 - Found 0 previous dataset(s) to consolidate
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- 2026-09-26 08:48:41.033 | INFO | app.tasks.entity.vlm.dataset:download_presplit_datasets:1739 - Successfully downloaded all datasets to /home/ubuntu/dataset
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- 2026-09-26 08:49:02.820 | INFO | app.tasks.entity.vlm.dataset:remove_null_files:640 - Removed 2 files with null values
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- 2026-09-26 08:49:05.099 | INFO | app.tasks.entity.vlm.reports:get_distribution:1520 - Original number of ground truth files 6058
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- 2026-09-26 08:49:10.146 | INFO | app.tasks.entity.vlm.reports:get_distribution:1535 - After removing empty files 6058
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- 2026-09-26 08:49:10.379 | INFO | app.tasks.entity.vlm.reports:get_entity_distribution:1635 - Creating entity distribution for 6058 files
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- 2026-09-26 08:49:14.975 | DEBUG | app.commonmlops:get_oauth_token:834 - OAuth token request status: 200
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- 2026-09-26 08:49:15.263 | DEBUG | app.commonmlops:get_training_job_queue:891 - Get training job queue status code: 200, api_url: https://aitest.api.dexit.tech/api/v1/mlops/trainingjobqueue/06a665f8-ebd0-7481-8000-83304d751ace
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- 2026-09-26 08:49:15.499 | DEBUG | app.commonmlops:get_oauth_token:834 - OAuth token request status: 200
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- 2026-09-26 08:49:15.500 | DEBUG | app.commonmlops:update_training_job_queue:937 - Updating training job queue with merged payload: {'id': '06a665f8-ebd0-7481-8000-83304d751ace', 'modeltype': 'entity', 'modelname': 'vlm_qwen3_6', 'jobtype': 'feedback', 'basemodelversionid': '019f0d56-3844-7c0a-8fab-4aa6a6d1f12e', 'datasetid': '06a665f5-06bf-7f15-8000-acbbe709e051', 'status': 'triggered', 'createddate': '2026-07-26T19:27:10.738422Z', 'createdby': '00000000-0000-0000-0000-000000000000', 'startdate': '2026-09-26T08:47:16.517659Z', 'enddate': None, 'accuracyreport': {'overall': {'recall': 0.9659282581805915, 'f1_score': 0.966580398334646, 'precision': 0.9672334196599482}, 'patient': {'recall': 0.9570468593654881, 'accuracy': 0.965850180851059, 'f1_score': 0.9578867442511313, 'precision': 0.9588553005522813}, 'facility': {'recall': 0.9681215596546779, 'accuracy': 0.9468811825459762, 'f1_score': 0.9706030656585861, 'precision': 0.9731011770220469}, 'patient-dob': {'recall': 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'social-security-number': {'recall': 0.868421052631579, 'accuracy': 0.9863453815261044, 'f1_score': 0.7951807228915663, 'precision': 0.7333333333333333}, 'other-insurance-number-1': {'recall': 0.8928571428571429, 'accuracy': 0.9353035143769968, 'f1_score': 0.9025270758122744, 'precision': 0.9124087591240876}, 'other-insurance-number-2': {'recall': 1.0, 'accuracy': 0.9991967871485944, 'f1_score': 0.6666666666666666, 'precision': 0.5}, 'medicaid-insurance-number': {'recall': 0.9063231850117096, 'accuracy': 0.9304897314375987, 'f1_score': 0.8979118329466357, 'precision': 0.8896551724137931}, 'medicare-insurance-number': {'recall': 0.9626436781609196, 'accuracy': 0.9744204636290967, 'f1_score': 0.9544159544159544, 'precision': 0.9463276836158192}}, 'metadata': {'clearml_details': {'hf_model_id': '314e/dexit-aitest-vlm_qwen3_6-entity-integration', 'clearml_task_id': '337cc64a6155492fb9dcd31f8cb93617', 'trained_entities': ['accession_number', 'collection_date', 'facility_address', 'facility_city', 'facility_name', 'facility_state', 'facility_zip', 'medicaid_insurance_number', 'medicare_insurance_number', 'other_insurance_name_1', 'other_insurance_name_2', 'other_insurance_number_1', 'other_insurance_number_2', 'patient_address', 'patient_city', 'patient_dob', 'patient_first_name', 'patient_last_name', 'patient_middle_name', 'patient_sex', 'patient_state', 'patient_zip', 'phone_number', 'provider_npi', 'sample_code', 'social_security_number'], 'new_modelversion_tag': 'v7.0.0', 'base_modelversion_tag': 'v1.0.0'}, 'hyperparameters': {'DATASET_PARAMS': {'DATASET__EVAL_S3_PATH': 's3://aitest-dexit-tech/data/__mlops__/dataset/entity/06a665f5-06bf-7f15-8000-acbbe709e051/eval.json', 'DATASET__TEST_S3_PATH': 's3://aitest-dexit-tech/data/__mlops__/dataset/entity/06a665f5-06bf-7f15-8000-acbbe709e051/test.json', 'DATASET__TRAIN_S3_PATH': 's3://aitest-dexit-tech/data/__mlops__/dataset/entity/06a665f5-06bf-7f15-8000-acbbe709e051/train.json', 'DATASET__MISCELLANEOUS_S3_PATH': 's3://aitest-dexit-tech/data/__mlops__/dataset/entity/06a665f5-06bf-7f15-8000-acbbe709e051/miscellaneous.json'}, 'MODEL_CONFIGURATION': {'SEED': 42, 'MODELNAME': 'vlm_qwen3_6', 'MODELTYPE': 'entity', 'ENVIRONMENT': 'integration', 'HF_MODEL_ID': '314e/dexit-aitest-vlm_qwen3_6-entity-integration', 'MODEL_FAMILY': 'qwen', 'ARTIFACTS_DIR': '/home/ubuntu/result', 'MODELVERSIONTAG': 'v1.0.0', 'HF_BASE_MODEL_ID': 'Qwen/Qwen3.6-27B', 'IMAGE_PATCH_SIZE': 16, 'THRESHOLD_OFFSET': 0.05, 'TRAIN_OOTB_MODEL': True, 'NEW_MODELVERSIONTAG': 'v7.0.0'}, 'MODEL_HYPERPARAMETERS': {'RANK': 256, 'ALPHA': 512, 'TRAIN_EPOCHS': 2, 'EVAL_BATCH_SIZE': 1, 'GRAD_ACCUM_STEPS': 4, 'TRAIN_BATCH_SIZE': 4, 'INFERENCE_BATCH_SIZE': 6}}, 'workflow_details': {'temporal_workflow_id': 'local-model-retraining-entity-8bd7891e', 'skypilot_cluster_name': 'dexit-aitest-skypilot-entity-1790411922-425638', 'temporal_workflow_run_id': '01a0dcdd-a70c-7d0d-9906-de3892df566a'}, 'modelconfig_snapshot': {'modelname': 'vlm_qwen3_6', 'modeltype': 'entity', 'deployment': {'auto_model_deployment_manual': False, 'auto_model_deployment_feedback': False}, 'feedback_config': {'bucket_low': 0.5, 'bucket_high': 0.7, 'auto_trigger_retraining': True, 'non_corrected_sample_ratio': 0.8, 'min_feedback_count_for_retraining': 1500, 'low_bucket_threshold_offset_multiplier': 0.5, 'auto_trigger_retraining_on_new_entities': False, 'high_bucket_threshold_offset_multiplier': 1.5, 'low_precision_bucket_corrected_sample_rate': 0.7, 'mid_precision_bucket_corrected_sample_rate': 0.7, 'high_precision_bucket_corrected_sample_rate': 0.8, 'low_precision_bucket_threshold_sample_count': 100}, 'training_config': {'seed': 42, 'dataset': {'eval_size': 0.1, 'test_size': 0.2, 'train_size': 0.7}, 'cloud_providers': [{'accelerators': ['A100-80GB:1', 'H100:1'], 'provider_name': 'runpod'}], 'hyperparameters': {'rank': 256, 'alpha': 512, 'train_epochs': 2, 'grad_accum_steps': 4, 'train_batch_size': 4, 'inference_batch_size': 6}, 'hf_base_model_id': 'Qwen/Qwen3.6-27B', 'train_ootb_model': True, 'previous_datasets': {'eval': {'enabled': True, 'distribution': {'weights': {'n-1': 1.0}, 'strategy': 'equal', 'decay_factor': 0.8}, 'max_versions_to_include': 'all'}, 'test': {'enabled': True, 'distribution': {'weights': {'n-1': 1.0}, 'strategy': 'equal', 'decay_factor': 0.8}, 'max_versions_to_include': 'all'}, 'train': {'enabled': True, 'distribution': {'weights': {'n-1': 1.0}, 'strategy': 'equal', 'decay_factor': 0.8}, 'max_versions_to_include': 'all'}}}, 'threshold_offset': 0.05}}, 'deploymentstatus': None, 'deployeddate': None}
19
- 2026-09-26 08:49:15.793 | DEBUG | app.commonmlops:update_training_job_queue:940 - Update training job queue status code: 200, api_url: https://aitest.api.dexit.tech/api/v1/mlops/trainingjobqueue/06a665f8-ebd0-7481-8000-83304d751ace
20
- 2026-09-26 08:49:15.795 | SUCCESS | app.commonmlops:update_trained_entities:979 - Updated trained_entities on training job queue
21
- 2026-09-26 08:49:16.232 | INFO | app.tasks.entity.vlm.reports:upload_initial_artifacts:1703 - Uploaded intial artifacts to ClearML
22
- 2026-09-26 08:49:16.232 | INFO | __main__:_run_training_phase:635 - Moving into standard training loop
23
- 2026-09-26 08:49:16.233 | INFO | __main__:setup_directories:210 - Loading pre-split dataset statistics
24
- 2026-09-26 08:49:18.070 | INFO | __main__:load_presplit_statistics:187 - Found 4250 training samples
25
- 2026-09-26 08:49:18.587 | INFO | __main__:load_presplit_statistics:189 - Found 1245 test samples
26
- 2026-09-26 08:49:18.825 | INFO | __main__:load_presplit_statistics:191 - Found 563 validation samples
27
- 2026-09-26 08:49:18.825 | INFO | app.tasks.entity.vlm.dataset:print_split_statistics:1052 -
28
  Dataset Split Statistics:
29
- 2026-09-26 08:49:18.826 | INFO | app.tasks.entity.vlm.dataset:print_split_statistics:1053 - Total samples: 6058
30
- 2026-09-26 08:49:18.826 | INFO | app.tasks.entity.vlm.dataset:print_split_statistics:1055 - Train set: 4250 (70.2%)
31
- 2026-09-26 08:49:18.826 | INFO | app.tasks.entity.vlm.dataset:print_split_statistics:1056 - Test set: 1245 (20.6%)
32
- 2026-09-26 08:49:18.827 | INFO | app.tasks.entity.vlm.dataset:print_split_statistics:1057 - Validation set: 563 (9.3%)
33
- 2026-09-26 08:49:18.828 | INFO | app.tasks.entity.vlm.dataset:print_split_statistics:1066 - Split statistics saved to /home/ubuntu/result/split_statistics.json
34
- 2026-09-26 08:49:18.899 | INFO | __main__:standard_training_loop:332 - Initializing model
35
- 2026-09-26 08:49:18.899 | INFO | __main__:initialize_model:242 - Setting up model for retraining
36
- 2026-09-26 08:49:18.900 | INFO | __main__:initialize_model:245 - Training from base model: Qwen/Qwen3.6-27B
37
- 2026-09-26 08:49:18.900 | INFO | app.tasks.entity.vlm.model:__post_init__:321 - loading model Qwen/Qwen3.6-27B for training with unsloth
38
- 2026-09-26 08:55:06.793 | INFO | app.tasks.entity.vlm.model:calculate_max_steps:417 - num_samples: 4250, batch_size: 4, gradient_accumulation_steps: 4, epochs: 2
39
- 2026-09-26 08:55:06.794 | INFO | app.tasks.entity.vlm.model:calculate_max_steps:421 - calculating max steps
40
- 2026-09-26 08:55:06.836 | INFO | __main__:standard_training_loop:335 - Setting up trainer
41
- 2026-09-26 08:55:06.836 | INFO | __main__:create_trainer:284 - Datasets: 4250 train, 563 eval samples
42
- 2026-09-26 08:55:07.496 | INFO | __main__:standard_training_loop:338 - Starting training
43
- 2026-09-26 08:55:07.680 | INFO | app.tasks.entity.vlm.model:train_model:624 - everything is set up, launching training
44
- 2026-09-26 19:33:24.798 | INFO | app.tasks.entity.vlm.model:train_model:630 - training complete: TrainOutput(global_step=530, training_loss=0.16299781776824088, metrics={'train_runtime': 38176.2523, 'train_samples_per_second': 0.222, 'train_steps_per_second': 0.014, 'total_flos': 4.1567508144335805e+18, 'train_loss': 0.16299781776824088, 'epoch': 1.9934148635936029})
 
1
+ 2026-10-11 13:35:24.908 | INFO | app.tasks.entity.vlm.dataset:create:718 - Using pre-split dataset mode
2
+ 2026-10-11 13:35:24.933 | INFO | app.tasks.entity.vlm.dataset:_download_current_splits:1472 - Downloading train dataset from s3://aitest-dexit-tech/data/__mlops__/dataset/entity/06a665f5-06bf-7f15-8000-acbbe709e051/train.json
3
+ 2026-10-11 13:35:25.930 | INFO | app.tasks.entity.vlm.dataset:_download_split_documents:1317 - Processing %s %s/%s with %d documents
4
+ 2026-10-11 13:36:01.912 | INFO | app.tasks.entity.vlm.dataset:_download_current_splits:1472 - Downloading val dataset from s3://aitest-dexit-tech/data/__mlops__/dataset/entity/06a665f5-06bf-7f15-8000-acbbe709e051/eval.json
5
+ 2026-10-11 13:36:02.086 | INFO | app.tasks.entity.vlm.dataset:_download_split_documents:1317 - Processing %s %s/%s with %d documents
6
+ 2026-10-11 13:36:06.472 | INFO | app.tasks.entity.vlm.dataset:_download_current_splits:1472 - Downloading test dataset from s3://aitest-dexit-tech/data/__mlops__/dataset/entity/06a665f5-06bf-7f15-8000-acbbe709e051/test.json
7
+ 2026-10-11 13:36:06.703 | INFO | app.tasks.entity.vlm.dataset:_download_split_documents:1317 - Processing %s %s/%s with %d documents
8
+ 2026-10-11 13:36:16.761 | INFO | app.tasks.entity.vlm.dataset:_download_miscellaneous:1520 - Downloading miscellaneous data from s3://aitest-dexit-tech/data/__mlops__/dataset/entity/06a665f5-06bf-7f15-8000-acbbe709e051/miscellaneous.json
9
+ 2026-10-11 13:36:17.242 | INFO | app.tasks.entity.vlm.dataset:_download_previous_datasets:1426 - Found 0 previous dataset(s) to consolidate
10
+ 2026-10-11 13:36:17.243 | INFO | app.tasks.entity.vlm.dataset:download_presplit_datasets:1577 - Successfully downloaded all datasets to /home/ubuntu/dataset
11
+ 2026-10-11 13:36:45.031 | INFO | app.tasks.entity.vlm.dataset:remove_null_files:644 - Removed 2 files with null values
12
+ 2026-10-11 13:36:46.131 | INFO | app.tasks.entity.vlm.reports:get_distribution:1363 - Original number of ground truth files 6058
13
+ 2026-10-11 13:36:54.575 | INFO | app.tasks.entity.vlm.reports:get_distribution:1378 - After removing empty files 6058
14
+ 2026-10-11 13:36:55.830 | INFO | app.tasks.entity.vlm.reports:get_entity_distribution:1470 - Creating entity distribution for 6058 files
15
+ 2026-10-11 13:37:01.709 | DEBUG | app.commonmlops:get_oauth_token:745 - OAuth token request status: 200
16
+ 2026-10-11 13:37:02.039 | DEBUG | app.commonmlops:get_training_job_queue:802 - Get training job queue status code: 200, api_url: https://aitest.api.dexit.tech/api/v1/mlops/trainingjobqueue/06a665f8-ebd0-7481-8000-83304d751ace
17
+ 2026-10-11 13:37:02.165 | DEBUG | app.commonmlops:get_oauth_token:745 - OAuth token request status: 200
18
+ 2026-10-11 13:37:02.166 | DEBUG | app.commonmlops:update_training_job_queue:848 - Updating training job queue with merged payload: {'id': '06a665f8-ebd0-7481-8000-83304d751ace', 'modeltype': 'entity', 'modelname': 'vlm_qwen3_6', 'jobtype': 'feedback', 'basemodelversionid': '019f0d56-3844-7c0a-8fab-4aa6a6d1f12e', 'datasetid': '06a665f5-06bf-7f15-8000-acbbe709e051', 'status': 'triggered', 'createddate': '2026-07-26T19:27:10.738422Z', 'createdby': '00000000-0000-0000-0000-000000000000', 'startdate': '2026-10-11T13:34:51.111155Z', 'enddate': None, 'accuracyreport': {'overall': {'recall': 0.9597436185764084, 'f1_score': 0.9608510877824998, 'precision': 0.9619611158072696}, 'patient': {'recall': 0.9570468593654881, 'accuracy': 0.965850180851059, 'f1_score': 0.9578867442511313, 'precision': 0.9588553005522813}, 'facility': {'recall': 0.9681215596546779, 'accuracy': 0.9468811825459762, 'f1_score': 0.9706030656585861, 'precision': 0.9731011770220469}, 'patient-dob': {'recall': 0.9787052810902896, 'accuracy': 0.9674861221252974, 'f1_score': 0.9824711415134673, 'precision': 0.9862660944206009}, 'patient-sex': {'recall': 0.9991423670668954, 'accuracy': 0.9967871485943776, 'f1_score': 0.998286203941731, 'precision': 0.997431506849315}, 'patient-zip': {'recall': 0.9643564356435643, 'accuracy': 0.9847512038523274, 'f1_score': 0.9808660624370594, 'precision': 0.9979508196721312}, 'patient.dob': {'recall': 0.9821124361158433, 'accuracy': 0.9706582077716098, 'f1_score': 0.9842082799829279, 'precision': 0.9863130881094953}, 'patient.sex': {'recall': 0.9991423670668954, 'accuracy': 0.9983935742971888, 'f1_score': 0.9991423670668954, 'precision': 0.9991423670668954}, 'patient.zip': {'recall': 0.9663366336633663, 'accuracy': 0.9847512038523274, 'f1_score': 0.9809045226130653, 'precision': 0.9959183673469387}, 'sample-code': {'recall': 0.9727891156462585, 'accuracy': 0.9529314616019818, 'f1_score': 0.9723166585721223, 'precision': 0.9718446601941747}, 'facility-zip': {'recall': 0.9762912785774767, 'accuracy': 0.9673566878980892, 'f1_score': 0.9825308904985087, 'precision': 0.9888507718696398}, 'facility.zip': {'recall': 0.9847586790855207, 'accuracy': 0.9808, 'f1_score': 0.9897872340425531, 'precision': 0.9948674080410608}, 'patient-city': {'recall': 0.9817444219066938, 'accuracy': 0.9895916733386709, 'f1_score': 0.9867482161060144, 'precision': 0.9918032786885246}, 'patient.city': {'recall': 0.9817444219066938, 'accuracy': 0.988, 'f1_score': 0.9847405900305187, 'precision': 0.9877551020408163}, 'phone-number': {'recall': 0.9856115107913669, 'accuracy': 0.9863782051282052, 'f1_score': 0.9699115044247788, 'precision': 0.9547038327526133}, 'provider-npi': {'recall': 1.0, 'accuracy': 0.9991546914623838, 'f1_score': 0.9995147986414362, 'precision': 0.9990300678952473}, 'facility-city': {'recall': 0.9880444064901793, 'accuracy': 0.981629392971246, 'f1_score': 0.990158322635858, 'precision': 0.9922813036020584}, 'facility-name': {'recall': 0.9675491033304867, 'accuracy': 0.9437060203283816, 'f1_score': 0.9692044482463644, 'precision': 0.9708654670094259}, 'facility.city': {'recall': 0.9965841161400513, 'accuracy': 0.9967871485943776, 'f1_score': 0.998289136013687, 'precision': 1.0}, 'facility.name': {'recall': 0.9624252775405636, 'accuracy': 0.9339035769828927, 'f1_score': 0.9636596836254809, 'precision': 0.9648972602739726}, 'patient-state': {'recall': 0.833969465648855, 'accuracy': 0.870845921450151, 'f1_score': 0.8363636363636364, 'precision': 0.8387715930902111}, 'patient.state': {'recall': 0.8530534351145038, 'accuracy': 0.8843226788432268, 'f1_score': 0.8546845124282982, 'precision': 0.8563218390804598}, 'facility-state': {'recall': 0.9318568994889267, 'accuracy': 0.8844106463878327, 'f1_score': 0.9350427350427349, 'precision': 0.9382504288164666}, 'facility.state': {'recall': 0.9335604770017035, 'accuracy': 0.8867781155015197, 'f1_score': 0.936351986330628, 'precision': 0.9391602399314481}, 'collection-date': {'recall': 0.9433628318584071, 'accuracy': 0.9344941956882256, 'f1_score': 0.931004366812227, 'precision': 0.9189655172413793}, 'patient-address': {'recall': 0.9020408163265307, 'accuracy': 0.9286268425135764, 'f1_score': 0.9057377049180328, 'precision': 0.9094650205761317}, 'patient.address': {'recall': 0.9, 'accuracy': 0.9255813953488372, 'f1_score': 0.901840490797546, 'precision': 0.9036885245901639}, 'accession-number': {'recall': 0.9967948717948718, 'accuracy': 0.9991546914623838, 'f1_score': 0.9983948635634029, 'precision': 1.0}, 'facility-address': {'recall': 0.9496157130657558, 'accuracy': 0.915057915057915, 'f1_score': 0.9528706083976006, 'precision': 0.9561478933791917}, 'facility.address': {'recall': 0.9632792485055508, 'accuracy': 0.9361370716510904, 'f1_score': 0.9649272882805817, 'precision': 0.9665809768637532}, 'patient-last-name': {'recall': 0.9718875502008032, 'accuracy': 0.9490196078431372, 'f1_score': 0.9738430583501007, 'precision': 0.9758064516129032}, 'patient.last-name': {'recall': 0.9879518072289156, 'accuracy': 0.9785202863961814, 'f1_score': 0.9891435464414957, 'precision': 0.9903381642512077}, 'patient-first-name': {'recall': 0.9790996784565916, 'accuracy': 0.9636075949367089, 'f1_score': 0.9814665592264302, 'precision': 0.9838449111470113}, 'patient.first-name': {'recall': 0.9911575562700965, 'accuracy': 0.9848242811501597, 'f1_score': 0.9923541247484909, 'precision': 0.9935535858178888}, 'patient-middle-name': {'recall': 0.9471153846153846, 'accuracy': 0.9744, 'f1_score': 0.9248826291079812, 'precision': 0.9036697247706422}, 'patient.middle-name': {'recall': 0.9519230769230769, 'accuracy': 0.9776, 'f1_score': 0.9339622641509433, 'precision': 0.9166666666666666}, 'other-insurance-name-1': {'recall': 0.819047619047619, 'accuracy': 0.8818958818958819, 'f1_score': 0.819047619047619, 'precision': 0.819047619047619}, 'other-insurance-name-2': {'recall': 1.0, 'accuracy': 0.9975903614457832, 'f1_score': 0.4, 'precision': 0.25}, 'social-security-number': {'recall': 0.8947368421052632, 'accuracy': 0.98714859437751, 'f1_score': 0.8095238095238095, 'precision': 0.7391304347826086}, 'other-insurance-number-1': {'recall': 0.9238095238095239, 'accuracy': 0.9447115384615384, 'f1_score': 0.9183431952662723, 'precision': 0.9129411764705883}, 'other-insurance-number-2': {'recall': 1.0, 'accuracy': 0.9975903614457832, 'f1_score': 0.4, 'precision': 0.25}, 'medicaid-insurance-number': {'recall': 0.8992974238875878, 'accuracy': 0.9351778656126483, 'f1_score': 0.9035294117647058, 'precision': 0.9078014184397163}, 'medicare-insurance-number': {'recall': 0.9511494252873564, 'accuracy': 0.9760191846522782, 'f1_score': 0.9566473988439307, 'precision': 0.9622093023255814}}, 'metadata': {'clearml_details': {'hf_model_id': '314e/dexit-aitest-vlm_qwen3_6-entity-integration', 'clearml_task_id': 'd6026d2b976d40e38036e5b46bbd12e0', 'trained_entities': ['accession_number', 'collection_date', 'facility_address', 'facility_city', 'facility_name', 'facility_state', 'facility_zip', 'medicaid_insurance_number', 'medicare_insurance_number', 'other_insurance_name_1', 'other_insurance_name_2', 'other_insurance_number_1', 'other_insurance_number_2', 'patient_address', 'patient_city', 'patient_dob', 'patient_first_name', 'patient_last_name', 'patient_middle_name', 'patient_sex', 'patient_state', 'patient_zip', 'phone_number', 'provider_npi', 'sample_code', 'social_security_number'], 'new_modelversion_tag': 'v9.0.0', 'base_modelversion_tag': 'v1.0.0'}, 'hyperparameters': {'DATASET_PARAMS': {'DATASET__EVAL_S3_PATH': 's3://aitest-dexit-tech/data/__mlops__/dataset/entity/06a665f5-06bf-7f15-8000-acbbe709e051/eval.json', 'DATASET__TEST_S3_PATH': 's3://aitest-dexit-tech/data/__mlops__/dataset/entity/06a665f5-06bf-7f15-8000-acbbe709e051/test.json', 'DATASET__TRAIN_S3_PATH': 's3://aitest-dexit-tech/data/__mlops__/dataset/entity/06a665f5-06bf-7f15-8000-acbbe709e051/train.json', 'DATASET__MISCELLANEOUS_S3_PATH': 's3://aitest-dexit-tech/data/__mlops__/dataset/entity/06a665f5-06bf-7f15-8000-acbbe709e051/miscellaneous.json'}, 'MODEL_CONFIGURATION': {'SEED': 42, 'MODELNAME': 'vlm_qwen3_6', 'MODELTYPE': 'entity', 'ENVIRONMENT': 'integration', 'HF_MODEL_ID': '314e/dexit-aitest-vlm_qwen3_6-entity-integration', 'MODEL_FAMILY': 'qwen', 'ARTIFACTS_DIR': '/home/ubuntu/result', 'MODELVERSIONTAG': 'v1.0.0', 'HF_BASE_MODEL_ID': 'Qwen/Qwen3.6-27B', 'IMAGE_PATCH_SIZE': 16, 'THRESHOLD_OFFSET': 0.05, 'TRAIN_OOTB_MODEL': True, 'NEW_MODELVERSIONTAG': 'v9.0.0'}, 'MODEL_HYPERPARAMETERS': {'RANK': 32, 'ALPHA': 64, 'TRAIN_EPOCHS': 1, 'EVAL_BATCH_SIZE': 1, 'GRAD_ACCUM_STEPS': 4, 'TRAIN_BATCH_SIZE': 4, 'INFERENCE_BATCH_SIZE': 8}}, 'workflow_details': {'temporal_workflow_id': 'local-model-retraining-entity-b7bb1fb6', 'skypilot_cluster_name': 'dexit-aitest-skypilot-entity-1791725205-121739', 'temporal_workflow_run_id': '32877140-e95c-4c89-b1f9-17503bd39e3a'}, 'modelconfig_snapshot': {'modelname': 'vlm_qwen3_6', 'modeltype': 'entity', 'deployment': {'auto_model_deployment_manual': False, 'auto_model_deployment_feedback': False}, 'feedback_config': {'bucket_low': 0.5, 'bucket_high': 0.7, 'auto_trigger_retraining': True, 'non_corrected_sample_ratio': 0.8, 'min_feedback_count_for_retraining': 1500, 'low_bucket_threshold_offset_multiplier': 0.5, 'auto_trigger_retraining_on_new_entities': False, 'high_bucket_threshold_offset_multiplier': 1.5, 'low_precision_bucket_corrected_sample_rate': 0.7, 'mid_precision_bucket_corrected_sample_rate': 0.7, 'high_precision_bucket_corrected_sample_rate': 0.8, 'low_precision_bucket_threshold_sample_count': 100}, 'training_config': {'seed': 42, 'dataset': {'eval_size': 0.1, 'test_size': 0.2, 'train_size': 0.7}, 'cloud_providers': [{'accelerators': ['A100-80GB:1', 'H100:1'], 'provider_name': 'runpod'}], 'hyperparameters': {'rank': 32, 'alpha': 64, 'train_epochs': 1, 'grad_accum_steps': 4, 'train_batch_size': 4, 'inference_batch_size': 8}, 'hf_base_model_id': 'Qwen/Qwen3.6-27B', 'train_ootb_model': True, 'previous_datasets': {'eval': {'enabled': True, 'distribution': {'weights': {'n-1': 1.0}, 'strategy': 'equal', 'decay_factor': 0.8}, 'max_versions_to_include': 'all'}, 'test': {'enabled': True, 'distribution': {'weights': {'n-1': 1.0}, 'strategy': 'equal', 'decay_factor': 0.8}, 'max_versions_to_include': 'all'}, 'train': {'enabled': True, 'distribution': {'weights': {'n-1': 1.0}, 'strategy': 'equal', 'decay_factor': 0.8}, 'max_versions_to_include': 'all'}}}, 'threshold_offset': 0.05}}, 'deploymentstatus': None, 'deployeddate': None}
19
+ 2026-10-11 13:37:02.444 | DEBUG | app.commonmlops:update_training_job_queue:851 - Update training job queue status code: 200, api_url: https://aitest.api.dexit.tech/api/v1/mlops/trainingjobqueue/06a665f8-ebd0-7481-8000-83304d751ace
20
+ 2026-10-11 13:37:02.445 | SUCCESS | app.commonmlops:update_trained_entities:890 - Updated trained_entities on training job queue
21
+ 2026-10-11 13:37:02.828 | INFO | app.tasks.entity.vlm.reports:upload_initial_artifacts:1539 - Uploaded intial artifacts to ClearML
22
+ 2026-10-11 13:37:02.828 | INFO | __main__:_run_training_phase:635 - Moving into standard training loop
23
+ 2026-10-11 13:37:02.829 | INFO | __main__:setup_directories:210 - Loading pre-split dataset statistics
24
+ 2026-10-11 13:37:03.690 | INFO | __main__:load_presplit_statistics:187 - Found 4250 training samples
25
+ 2026-10-11 13:37:03.994 | INFO | __main__:load_presplit_statistics:189 - Found 1245 test samples
26
+ 2026-10-11 13:37:04.138 | INFO | __main__:load_presplit_statistics:191 - Found 563 validation samples
27
+ 2026-10-11 13:37:04.139 | INFO | app.tasks.entity.vlm.dataset:print_split_statistics:843 -
28
  Dataset Split Statistics:
29
+ 2026-10-11 13:37:04.139 | INFO | app.tasks.entity.vlm.dataset:print_split_statistics:844 - Total samples: 6058
30
+ 2026-10-11 13:37:04.140 | INFO | app.tasks.entity.vlm.dataset:print_split_statistics:846 - Train set: 4250 (70.2%)
31
+ 2026-10-11 13:37:04.140 | INFO | app.tasks.entity.vlm.dataset:print_split_statistics:847 - Test set: 1245 (20.6%)
32
+ 2026-10-11 13:37:04.141 | INFO | app.tasks.entity.vlm.dataset:print_split_statistics:848 - Validation set: 563 (9.3%)
33
+ 2026-10-11 13:37:04.142 | INFO | app.tasks.entity.vlm.dataset:print_split_statistics:861 - Split statistics saved to /home/ubuntu/result/split_statistics.json
34
+ 2026-10-11 13:37:04.217 | INFO | __main__:standard_training_loop:332 - Initializing model
35
+ 2026-10-11 13:37:04.217 | INFO | __main__:initialize_model:242 - Setting up model for retraining
36
+ 2026-10-11 13:37:04.217 | INFO | __main__:initialize_model:245 - Training from base model: Qwen/Qwen3.6-27B
37
+ 2026-10-11 13:37:04.218 | INFO | app.tasks.entity.vlm.model:__post_init__:241 - loading model Qwen/Qwen3.6-27B for training with unsloth
38
+ 2026-10-11 13:44:06.337 | INFO | app.tasks.entity.vlm.model:calculate_max_steps:343 - num_samples: 4250, batch_size: 4, gradient_accumulation_steps: 4, epochs: 1
39
+ 2026-10-11 13:44:06.338 | INFO | app.tasks.entity.vlm.model:calculate_max_steps:347 - calculating max steps
40
+ 2026-10-11 13:44:06.385 | INFO | __main__:standard_training_loop:335 - Setting up trainer
41
+ 2026-10-11 13:44:06.386 | INFO | __main__:create_trainer:284 - Datasets: 4250 train, 563 eval samples
42
+ 2026-10-11 13:44:07.039 | INFO | __main__:standard_training_loop:338 - Starting training
43
+ 2026-10-11 13:44:07.195 | INFO | app.tasks.entity.vlm.model:train_model:531 - everything is set up, launching training
 
ground_truth_data.json CHANGED
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