Training in progress, step 60

README.md

@@ -1,17 +1,18 @@
 ---
-base_model: 314e/dexit-VLM-Gemma3-Entity-test5-integration
+base_model: Qwen/Qwen3.5-9b
 library_name: transformers
 model_name: result
 tags:
 - generated_from_trainer
-- trl
 - sft
+- unsloth
+- trl
 licence: license
 ---
 
 # Model Card for result
 
-This model is a fine-tuned version of [314e/dexit-VLM-Gemma3-Entity-test5-integration](https://huggingface.co/314e/dexit-VLM-Gemma3-Entity-test5-integration).
+This model is a fine-tuned version of [Qwen/Qwen3.5-9b](https://huggingface.co/Qwen/Qwen3.5-9b).
 It has been trained using [TRL](https://github.com/huggingface/trl).
 
 ## Quick start
@@ -30,15 +31,16 @@ print(output["generated_text"])
  
 
 
+
 This model was trained with SFT.
 
 ### Framework versions
 
-- TRL: 0.13.0
-- Transformers: 4.51.1
-- Pytorch: 2.5.1
-- Datasets: 3.2.0
-- Tokenizers: 0.21.0
+- TRL: 1.9.0
+- Transformers: 5.14.1
+- Pytorch: 2.7.1
+- Datasets: 4.3.0
+- Tokenizers: 0.22.2
 
 ## Citations
 
@@ -47,12 +49,11 @@ This model was trained with SFT.
 Cite TRL as:
     
 ```bibtex
-@misc{vonwerra2022trl,
-	title        = {{TRL: Transformer Reinforcement Learning}},
-	author       = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallouédec},
-	year         = 2020,
-	journal      = {GitHub repository},
-	publisher    = {GitHub},
-	howpublished = {\url{https://github.com/huggingface/trl}}
+@software{vonwerra2020trl,
+  title   = {{TRL: Transformers Reinforcement Learning}},
+  author  = {von Werra, Leandro and Belkada, Younes and Tunstall, Lewis and Beeching, Edward and Thrush, Tristan and Lambert, Nathan and Huang, Shengyi and Rasul, Kashif and Gallouédec, Quentin},
+  license = {Apache-2.0},
+  url     = {https://github.com/huggingface/trl},
+  year    = {2020}
 }
 ```

adapter_config.json

@@ -1,8 +1,16 @@
 {
+  "alora_invocation_tokens": null,
   "alpha_pattern": {},
-  "auto_mapping": null,
-  "base_model_name_or_path": "314e/dexit-VLM-Gemma3-Entity-test5-integration",
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "Qwen3_5ForConditionalGeneration",
+    "parent_library": "transformers.models.qwen3_5.modeling_qwen3_5",
+    "unsloth_fixed": true
+  },
+  "base_model_name_or_path": "Qwen/Qwen3.5-9b",
   "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
   "eva_config": null,
   "exclude_modules": null,
   "fan_in_fan_out": false,
@@ -15,23 +23,22 @@
   "lora_alpha": 256,
   "lora_bias": false,
   "lora_dropout": 0.05,
+  "lora_ga_config": null,
   "megatron_config": null,
   "megatron_core": "megatron.core",
   "modules_to_save": null,
   "peft_type": "LORA",
-  "r": 126,
+  "peft_version": "0.19.1",
+  "qalora_group_size": 16,
+  "r": 128,
   "rank_pattern": {},
   "revision": null,
-  "target_modules": [
-    "v_proj",
-    "q_proj",
-    "up_proj",
-    "down_proj",
-    "o_proj",
-    "k_proj",
-    "gate_proj"
-  ],
+  "target_modules": "(?:.*?(?:vision|image|visual|patch|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,}\\.(?: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)))",
+  "target_parameters": null,
   "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_bdlora": null,
   "use_dora": false,
+  "use_qalora": false,
   "use_rslora": false
 }

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:112272277225b2c1516714e8de3608f213cba3a6c084a773c35c1f48ffd9800f
-size 2156507696
+oid sha256:6499fa033031268113192ba77d65db5b398026bd045c1ab653012c6edf1025b3
+size 1631412872

chat_template.jinja

@@ -0,0 +1,154 @@
+{%- set image_count = namespace(value=0) %}
+{%- set video_count = namespace(value=0) %}
+{%- macro render_content(content, do_vision_count, is_system_content=false) %}
+    {%- if content is string %}
+        {{- content }}
+    {%- elif content is iterable and content is not mapping %}
+        {%- for item in content %}
+            {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
+                {%- if is_system_content %}
+                    {{- raise_exception('System message cannot contain images.') }}
+                {%- endif %}
+                {%- if do_vision_count %}
+                    {%- set image_count.value = image_count.value + 1 %}
+                {%- endif %}
+                {%- if add_vision_id %}
+                    {{- 'Picture ' ~ image_count.value ~ ': ' }}
+                {%- endif %}
+                {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
+            {%- elif 'video' in item or item.type == 'video' %}
+                {%- if is_system_content %}
+                    {{- raise_exception('System message cannot contain videos.') }}
+                {%- endif %}
+                {%- if do_vision_count %}
+                    {%- set video_count.value = video_count.value + 1 %}
+                {%- endif %}
+                {%- if add_vision_id %}
+                    {{- 'Video ' ~ video_count.value ~ ': ' }}
+                {%- endif %}
+                {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
+            {%- elif 'text' in item %}
+                {{- item.text }}
+            {%- else %}
+                {{- raise_exception('Unexpected item type in content.') }}
+            {%- endif %}
+        {%- endfor %}
+    {%- elif content is none or content is undefined %}
+        {{- '' }}
+    {%- else %}
+        {{- raise_exception('Unexpected content type.') }}
+    {%- endif %}
+{%- endmacro %}
+{%- if not messages %}
+    {{- raise_exception('No messages provided.') }}
+{%- endif %}
+{%- if tools and tools is iterable and tools is not mapping %}
+    {{- '<|im_start|>system\n' }}
+    {{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\n</tools>" }}
+    {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}
+    {%- if messages[0].role == 'system' %}
+        {%- set content = render_content(messages[0].content, false, true)|trim %}
+        {%- if content %}
+            {{- '\n\n' + content }}
+        {%- endif %}
+    {%- endif %}
+    {{- '<|im_end|>\n' }}
+{%- else %}
+    {%- if messages[0].role == 'system' %}
+        {%- set content = render_content(messages[0].content, false, true)|trim %}
+        {{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+    {%- set index = (messages|length - 1) - loop.index0 %}
+    {%- if ns.multi_step_tool and message.role == "user" %}
+        {%- set content = render_content(message.content, false)|trim %}
+        {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
+            {%- set ns.multi_step_tool = false %}
+            {%- set ns.last_query_index = index %}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if ns.multi_step_tool %}
+    {{- raise_exception('No user query found in messages.') }}
+{%- endif %}
+{%- for message in messages %}
+    {%- set content = render_content(message.content, true)|trim %}
+    {%- if message.role == "system" %}
+        {%- if not loop.first %}
+            {{- raise_exception('System message must be at the beginning.') }}
+        {%- endif %}
+    {%- elif message.role == "user" %}
+        {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {%- set reasoning_content = '' %}
+        {%- if message.reasoning_content is string %}
+            {%- set reasoning_content = message.reasoning_content %}
+        {%- else %}
+            {%- if '</think>' in content %}
+                {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
+                {%- set content = content.split('</think>')[-1].lstrip('\n') %}
+            {%- endif %}
+        {%- endif %}
+        {%- set reasoning_content = reasoning_content|trim %}
+        {%- if loop.index0 > ns.last_query_index %}
+            {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
+        {%- else %}
+            {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- endif %}
+        {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if tool_call.function is defined %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {%- if loop.first %}
+                    {%- if content|trim %}
+                        {{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
+                    {%- else %}
+                        {{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
+                    {%- endif %}
+                {%- else %}
+                    {{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
+                {%- endif %}
+                {%- if tool_call.arguments is defined %}
+                    {%- for args_name, args_value in tool_call.arguments|items %}
+                        {{- '<parameter=' + args_name + '>\n' }}
+                        {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
+                        {{- args_value }}
+                        {{- '\n</parameter>\n' }}
+                    {%- endfor %}
+                {%- endif %}
+                {{- '</function>\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.previtem and loop.previtem.role != "tool" %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- content }}
+        {{- '\n</tool_response>' }}
+        {%- if not loop.last and loop.nextitem.role != "tool" %}
+            {{- '<|im_end|>\n' }}
+        {%- elif loop.last %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- else %}
+        {{- raise_exception('Unexpected message role.') }}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+    {%- if enable_thinking is defined and enable_thinking is false %}
+        {{- '<think>\n\n</think>\n\n' }}
+    {%- else %}
+        {{- '<think>\n' }}
+    {%- endif %}
+{%- endif %}

distribution.json

@@ -0,0 +1,3 @@
+{
+    "facesheet": 184
+}

doctype_entity_distribution.json

@@ -0,0 +1,30 @@
+{
+    "facesheet": {
+        "patient.first_name": 184,
+        "patient.last_name": 173,
+        "patient.middle_name": 45,
+        "facility.city": 102,
+        "facility.state": 109,
+        "facility.zip": 127,
+        "patient.city": 96,
+        "patient.state": 106,
+        "patient.zip": 117,
+        "patient.address": 83,
+        "phone_number": 51,
+        "facility.address": 81,
+        "facility.name": 88,
+        "medicaid_insurance_number": 41,
+        "medicare_insurance_number": 45,
+        "patient.dob": 73,
+        "patient.sex": 87,
+        "social_security_number": 31,
+        "accession_number": 13,
+        "collection_date": 27,
+        "provider_npi": 29,
+        "sample_code": 29,
+        "other_insurance_name_1": 34,
+        "other_insurance_number_1": 30,
+        "other_insurance_name_2": 2,
+        "other_insurance_number_2": 2
+    }
+}

entity_distribution.json

@@ -0,0 +1,28 @@
+{
+    "patient.first_name": 184,
+    "patient.last_name": 173,
+    "patient.middle_name": 45,
+    "facility.city": 102,
+    "facility.state": 109,
+    "facility.zip": 127,
+    "patient.city": 96,
+    "patient.state": 106,
+    "patient.zip": 117,
+    "patient.address": 83,
+    "phone_number": 51,
+    "facility.address": 81,
+    "facility.name": 88,
+    "medicaid_insurance_number": 41,
+    "medicare_insurance_number": 45,
+    "patient.dob": 73,
+    "patient.sex": 87,
+    "social_security_number": 31,
+    "accession_number": 13,
+    "collection_date": 27,
+    "provider_npi": 29,
+    "sample_code": 29,
+    "other_insurance_name_1": 34,
+    "other_insurance_number_1": 30,
+    "other_insurance_name_2": 2,
+    "other_insurance_number_2": 2
+}

file.log

@@ -0,0 +1,43 @@
+2026-07-24 07:02:42.293 | INFO     | app.tasks.entity.vlm.dataset:create:650 - Using pre-split dataset mode
+2026-07-24 07:02:42.320 | INFO     | app.tasks.entity.vlm.dataset:_download_current_splits:1565 - Downloading train dataset from s3://aitest-dexit-tech/data/__mlops__/dataset/entity/06a629a7-dc39-751c-8000-5e635f470d7a/train.json
+2026-07-24 07:02:42.626 | INFO     | app.tasks.entity.vlm.dataset:_download_split_documents:1422 - Processing %s %s/%s with %d documents
+2026-07-24 07:02:43.881 | INFO     | app.tasks.entity.vlm.dataset:_download_current_splits:1565 - Downloading val dataset from s3://aitest-dexit-tech/data/__mlops__/dataset/entity/06a629a7-dc39-751c-8000-5e635f470d7a/eval.json
+2026-07-24 07:02:44.108 | INFO     | app.tasks.entity.vlm.dataset:_download_split_documents:1422 - Processing %s %s/%s with %d documents
+2026-07-24 07:02:44.486 | INFO     | app.tasks.entity.vlm.dataset:_download_current_splits:1565 - Downloading test dataset from s3://aitest-dexit-tech/data/__mlops__/dataset/entity/06a629a7-dc39-751c-8000-5e635f470d7a/test.json
+2026-07-24 07:02:44.667 | INFO     | app.tasks.entity.vlm.dataset:_download_split_documents:1422 - Processing %s %s/%s with %d documents
+2026-07-24 07:02:45.048 | INFO     | app.tasks.entity.vlm.dataset:_download_miscellaneous:1612 - Downloading miscellaneous data from s3://aitest-dexit-tech/data/__mlops__/dataset/entity/06a629a7-dc39-751c-8000-5e635f470d7a/miscellaneous.json
+2026-07-24 07:02:45.236 | INFO     | app.tasks.entity.vlm.dataset:_download_previous_datasets:1521 - Found 0 previous dataset(s) to consolidate
+2026-07-24 07:02:45.237 | INFO     | app.tasks.entity.vlm.dataset:download_presplit_datasets:1663 - Successfully downloaded all datasets to /home/ubuntu/dataset
+2026-07-24 07:02:45.791 | INFO     | app.tasks.entity.vlm.dataset:remove_null_files:574 - Removed 1 files with null values
+2026-07-24 07:02:45.844 | INFO     | app.tasks.entity.vlm.reports:get_distribution:1513 - Original number of ground truth files 184
+2026-07-24 07:02:46.012 | INFO     | app.tasks.entity.vlm.reports:get_distribution:1528 - After removing empty files 184
+2026-07-24 07:02:46.023 | INFO     | app.tasks.entity.vlm.reports:get_entity_distribution:1628 - Creating entity distribution for 184 files
+2026-07-24 07:02:46.363 | DEBUG    | app.commonmlops:get_oauth_token:834 - OAuth token request status: 200
+2026-07-24 07:02:46.661 | 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/06a629ad-0d3a-795c-8000-dc597c9a9e03
+2026-07-24 07:02:46.874 | DEBUG    | app.commonmlops:get_oauth_token:834 - OAuth token request status: 200
+2026-07-24 07:02:46.875 | DEBUG    | app.commonmlops:update_training_job_queue:937 - Updating training job queue with merged payload: {'id': '06a629ad-0d3a-795c-8000-dc597c9a9e03', 'modeltype': 'entity', 'modelname': 'vlm_qwen3_5', 'jobtype': 'feedback', 'basemodelversionid': '019f0d56-3844-7c0a-8fab-4aa6a6d1f12e', 'datasetid': '06a629a7-dc39-751c-8000-5e635f470d7a', 'status': 'triggered', 'createddate': '2026-07-23T22:50:56.826848Z', 'createdby': '00000000-0000-0000-0000-000000000000', 'startdate': '2026-07-24T07:02:12.215188Z', 'enddate': None, 'accuracyreport': None, 'metadata': {'clearml_details': {'hf_model_id': '314e/dexit-aitest-vlm_qwen3_5-entity-integration', 'clearml_task_id': '3c76a36747f24e0e8bb6fd18f8081c84', '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': 'v0.0.0', 'base_modelversion_tag': 'v0.0.0'}, 'hyperparameters': {'DATASET_PARAMS': {'DATASET__EVAL_S3_PATH': 's3://aitest-dexit-tech/data/__mlops__/dataset/entity/06a629a7-dc39-751c-8000-5e635f470d7a/eval.json', 'DATASET__TEST_S3_PATH': 's3://aitest-dexit-tech/data/__mlops__/dataset/entity/06a629a7-dc39-751c-8000-5e635f470d7a/test.json', 'DATASET__TRAIN_S3_PATH': 's3://aitest-dexit-tech/data/__mlops__/dataset/entity/06a629a7-dc39-751c-8000-5e635f470d7a/train.json', 'DATASET__MISCELLANEOUS_S3_PATH': 's3://aitest-dexit-tech/data/__mlops__/dataset/entity/06a629a7-dc39-751c-8000-5e635f470d7a/miscellaneous.json'}, 'MODEL_CONFIGURATION': {'SEED': 42, 'MODELNAME': 'vlm_qwen3_5', 'MODELTYPE': 'entity', 'ENVIRONMENT': 'integration', 'HF_MODEL_ID': '314e/dexit-aitest-vlm_qwen3_5-entity-integration', 'MODEL_FAMILY': 'qwen', 'ARTIFACTS_DIR': '/home/ubuntu/result', 'MODELVERSIONTAG': 'v0.0.0', 'HF_BASE_MODEL_ID': 'Qwen/Qwen3.5-9b', 'IMAGE_PATCH_SIZE': 16, 'THRESHOLD_OFFSET': 0.05, 'TRAIN_OOTB_MODEL': True, 'NEW_MODELVERSIONTAG': 'v0.0.0'}, 'MODEL_HYPERPARAMETERS': {'RANK': 128, 'ALPHA': 256, 'TRAIN_EPOCHS': 10, 'EVAL_BATCH_SIZE': 2, 'GRAD_ACCUM_STEPS': 4, 'TRAIN_BATCH_SIZE': 2, 'INFERENCE_BATCH_SIZE': 2}}, 'workflow_details': {'temporal_workflow_id': 'local-model-retraining-entity-ddde4bff', 'skypilot_cluster_name': 'dexit-aitest-skypilot-entity-1784876009-69301', 'temporal_workflow_run_id': '019f92e6-5dfc-73e6-afd1-ae9142d3bb2d'}, 'modelconfig_snapshot': {'modelname': 'vlm_qwen3_5', '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': 0.5, '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': 0.8, 'mid_precision_bucket_corrected_sample_rate': 0.5, 'high_precision_bucket_corrected_sample_rate': 0.2, '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': 128, 'alpha': 256, 'train_epochs': 10, 'grad_accum_steps': 4, 'train_batch_size': 2}, 'hf_base_model_id': 'Qwen/Qwen3.5-9b', '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}
+2026-07-24 07:02:47.112 | 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/06a629ad-0d3a-795c-8000-dc597c9a9e03
+2026-07-24 07:02:47.113 | SUCCESS  | app.commonmlops:update_trained_entities:979 - Updated trained_entities on training job queue
+2026-07-24 07:02:47.476 | INFO     | app.tasks.entity.vlm.reports:upload_initial_artifacts:1696 - Uploaded intial artifacts to ClearML
+2026-07-24 07:02:47.476 | INFO     | __main__:_run_training_phase:657 - Moving into standard training loop
+2026-07-24 07:02:47.477 | INFO     | __main__:setup_directories:211 - Loading pre-split dataset statistics
+2026-07-24 07:02:47.557 | INFO     | __main__:load_presplit_statistics:188 - Found 161 training samples
+2026-07-24 07:02:47.595 | INFO     | __main__:load_presplit_statistics:190 - Found 20 test samples
+2026-07-24 07:02:47.625 | INFO     | __main__:load_presplit_statistics:192 - Found 3 validation samples
+2026-07-24 07:02:47.626 | INFO     | app.tasks.entity.vlm.dataset:print_split_statistics:986 - 
+Dataset Split Statistics:
+2026-07-24 07:02:47.626 | INFO     | app.tasks.entity.vlm.dataset:print_split_statistics:987 - Total samples: 184
+2026-07-24 07:02:47.626 | INFO     | app.tasks.entity.vlm.dataset:print_split_statistics:989 - Train set: 161 (87.5%)
+2026-07-24 07:02:47.627 | INFO     | app.tasks.entity.vlm.dataset:print_split_statistics:990 - Test set: 20 (10.9%)
+2026-07-24 07:02:47.627 | INFO     | app.tasks.entity.vlm.dataset:print_split_statistics:991 - Validation set: 3 (1.6%)
+2026-07-24 07:02:47.628 | INFO     | app.tasks.entity.vlm.dataset:print_split_statistics:1000 - Split statistics saved to /home/ubuntu/result/split_statistics.json
+2026-07-24 07:02:47.632 | INFO     | __main__:standard_training_loop:354 - Initializing model
+2026-07-24 07:02:47.633 | INFO     | __main__:initialize_model:243 - Setting up model for retraining
+2026-07-24 07:02:47.633 | INFO     | __main__:initialize_model:246 - Training from base model: Qwen/Qwen3.5-9b
+2026-07-24 07:02:47.633 | INFO     | app.tasks.entity.vlm.model:__post_init__:220 - loading model Qwen/Qwen3.5-9b for training with unsloth
+2026-07-24 07:03:33.040 | INFO     | app.tasks.entity.vlm.model:calculate_max_steps:316 - num_samples: 161, batch_size: 2, gradient_accumulation_steps: 4, epochs: 10
+2026-07-24 07:03:33.040 | INFO     | app.tasks.entity.vlm.model:calculate_max_steps:320 - calculating max steps
+2026-07-24 07:03:33.071 | INFO     | __main__:standard_training_loop:357 - Setting up trainer
+2026-07-24 07:03:46.968 | INFO     | __main__:create_trainer:306 - Materialized datasets: 161 train, 3 eval samples
+2026-07-24 07:03:47.468 | INFO     | __main__:standard_training_loop:360 - Starting training
+2026-07-24 07:03:47.660 | INFO     | app.tasks.entity.vlm.model:train_model:521 - everything is set up, launching training

gt_json.json

@@ -0,0 +1,188 @@
+{
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