Deploy QLoRA Approach B (Schema-Linking Text-to-SQL Qwen2.5-Coder-3B)

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,70 @@
+---
+base_model: unsloth/Qwen2.5-Coder-3B-Instruct-bnb-4bit
+library_name: peft
+pipeline_tag: text-generation
+language:
+- fr
+tags:
+- text2sql
+- text-to-sql
+- lora
+- qlora
+- schema-linking
+- qwen2.5-coder
+- french
+---
+
+# Text-to-SQL Prospect Model (Approach B: Schema-Linking)
+
+Fine-tuned QLoRA adapter for **Qwen2.5-Coder-3B-Instruct** designed to generate SQL queries in French for the `companies` database schema.
+
+## Model Details
+- **Base Model**: `Qwen/Qwen2.5-Coder-3B-Instruct` / `unsloth/Qwen2.5-Coder-3B-Instruct-bnb-4bit`
+- **Method**: QLoRA Fine-Tuning (`r=32`, `alpha=64`, target modules: all linear layers)
+- **Task**: Text-to-SQL (French natural language questions -> SQLite / Postgres SQL queries)
+- **Approach**: Schema-Linking with column annotations (`SCHEMA_B`)
+
+## Prompt Structure (ChatML)
+
+```text
+<|im_start|>system
+Tu es un analyste de données expert en SQL. Transforme la question de l'utilisateur en une requête SQL valide et exécutable. Ne génère que le code SQL, sans explication.<|im_end|>
+<|im_start|>user
+Base de données:
+[SCHEMA]
+Table: companies (Profils d'entreprises françaises)
+Colonnes:
+- id (UUID identifiant unique)
+- name (Nom commercial de l'entreprise)
+- rating (Note Google Maps de 0 à 5)
+- reviews (Nombre total d'avis Google)
+- is_spending_on_ads (1 si l'entreprise paie pour des annonces, 0 sinon)
+- description (Description textuelle de l'activité)
+- website (URL du site web, NULL si absent)
+- address (Adresse postale complète)
+- ville (ex: 'Paris', 'Lyon', 'Marseille')
+- secteur (ex: 'Informatique', 'Finance', 'Santé')
+- region (ex: 'Ile-de-France', 'Auvergne-Rhone-Alpes')
+- codeAPE (Code NAF d'activité économique)
+- siren (Identifiant unique entreprise à 9 chiffres)
+- siret (Identifiant unique établissement à 14 chiffres)
+
+Question: Lister les entreprises à Paris avec une note supérieure à 4.
+SQL:<|im_end|>
+<|im_start|>assistant
+```
+
+## How to Load in Python
+
+```python
+import torch
+from transformers import AutoTokenizer, AutoModelForCausalLM
+from peft import PeftModel
+
+base_model_id = "Qwen/Qwen2.5-Coder-3B-Instruct"
+adapter_id = "axrafTic/text2sqlProspeciton"
+
+tokenizer = AutoTokenizer.from_pretrained(adapter_id)
+base_model = AutoModelForCausalLM.from_pretrained(base_model_id, torch_dtype=torch.float16, device_map="auto")
+model = PeftModel.from_pretrained(base_model, adapter_id)
+```

adapter_config.json

@@ -0,0 +1,50 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": null,
+  "base_model_name_or_path": "unsloth/Qwen2.5-Coder-3B-Instruct-bnb-4bit",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 64,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "lora_ga_config": null,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "monteclora_config": null,
+  "peft_type": "LORA",
+  "peft_version": "0.20.0",
+  "qalora_group_size": 16,
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "up_proj",
+    "q_proj",
+    "gate_proj",
+    "down_proj",
+    "v_proj",
+    "k_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,
+  "velora_config": null
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2cead126e0899a24d04249ec488b177987eee31b3173df05f6f413144abffc05
+size 239536272

added_tokens.json

@@ -0,0 +1,25 @@
+{
+  "</tool_call>": 151658,
+  "<tool_call>": 151657,
+  "<|PAD_TOKEN|>": 151665,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
+  "<|endoftext|>": 151643,
+  "<|file_sep|>": 151664,
+  "<|fim_middle|>": 151660,
+  "<|fim_pad|>": 151662,
+  "<|fim_prefix|>": 151659,
+  "<|fim_suffix|>": 151661,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644,
+  "<|image_pad|>": 151655,
+  "<|object_ref_end|>": 151647,
+  "<|object_ref_start|>": 151646,
+  "<|quad_end|>": 151651,
+  "<|quad_start|>": 151650,
+  "<|repo_name|>": 151663,
+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

special_tokens_map.json

@@ -0,0 +1,31 @@
+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "eos_token": {
+    "content": "<|im_end|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|PAD_TOKEN|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a49c1b786ba7cd9c539085ebc8eb83025f6b16a7ce910a34b35957768c4b52a7
+size 11422185

tokenizer_config.json

@@ -0,0 +1,216 @@
+{
+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151645": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151646": {
+      "content": "<|object_ref_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151647": {
+      "content": "<|object_ref_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151648": {
+      "content": "<|box_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151649": {
+      "content": "<|box_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151650": {
+      "content": "<|quad_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151651": {
+      "content": "<|quad_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151652": {
+      "content": "<|vision_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151653": {
+      "content": "<|vision_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151654": {
+      "content": "<|vision_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151655": {
+      "content": "<|image_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151656": {
+      "content": "<|video_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151657": {
+      "content": "<tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151658": {
+      "content": "</tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151659": {
+      "content": "<|fim_prefix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151660": {
+      "content": "<|fim_middle|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151661": {
+      "content": "<|fim_suffix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151662": {
+      "content": "<|fim_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151663": {
+      "content": "<|repo_name|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151664": {
+      "content": "<|file_sep|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151665": {
+      "content": "<|PAD_TOKEN|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "bos_token": null,
+  "chat_template": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- messages[0]['content'] }}\n    {%- else %}\n        {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n    {%- endif %}\n    {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n    {%- else %}\n        {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {{- '<|im_start|>' + message.role }}\n        {%- if message.content %}\n            {{- '\\n' + message.content }}\n        {%- endif %}\n        {%- for tool_call in message.tool_calls %}\n            {%- if tool_call.function is defined %}\n                {%- set tool_call = tool_call.function %}\n            {%- endif %}\n            {{- '\\n<tool_call>\\n{\"name\": \"' }}\n            {{- tool_call.name }}\n            {{- '\", \"arguments\": ' }}\n            {{- tool_call.arguments | tojson }}\n            {{- '}\\n</tool_call>' }}\n        {%- endfor %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- message.content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "model_max_length": 131072,
+  "pad_token": "<|PAD_TOKEN|>",
+  "padding_side": "right",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

trainer_state.json

@@ -0,0 +1,295 @@
+{
+  "best_metric": 0.041570067405700684,
+  "best_model_checkpoint": "./sql_lora_approach_b/checkpoint-34",
+  "epoch": 2.9565217391304346,
+  "eval_steps": 500,
+  "global_step": 34,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.08695652173913043,
+      "grad_norm": 1.1549581289291382,
+      "learning_rate": 6.666666666666667e-05,
+      "loss": 1.7303,
+      "step": 1
+    },
+    {
+      "epoch": 0.17391304347826086,
+      "grad_norm": 1.1289726495742798,
+      "learning_rate": 0.00013333333333333334,
+      "loss": 1.7252,
+      "step": 2
+    },
+    {
+      "epoch": 0.2608695652173913,
+      "grad_norm": 0.934922993183136,
+      "learning_rate": 0.0002,
+      "loss": 1.597,
+      "step": 3
+    },
+    {
+      "epoch": 0.34782608695652173,
+      "grad_norm": 0.8451507091522217,
+      "learning_rate": 0.00019981755542233177,
+      "loss": 1.3325,
+      "step": 4
+    },
+    {
+      "epoch": 0.43478260869565216,
+      "grad_norm": 0.9650647640228271,
+      "learning_rate": 0.0001992708874098054,
+      "loss": 1.038,
+      "step": 5
+    },
+    {
+      "epoch": 0.5217391304347826,
+      "grad_norm": 1.6881967782974243,
+      "learning_rate": 0.00019836199069471437,
+      "loss": 0.7972,
+      "step": 6
+    },
+    {
+      "epoch": 0.6086956521739131,
+      "grad_norm": 0.9939894080162048,
+      "learning_rate": 0.0001970941817426052,
+      "loss": 0.5526,
+      "step": 7
+    },
+    {
+      "epoch": 0.6956521739130435,
+      "grad_norm": 0.9496100544929504,
+      "learning_rate": 0.00019547208665085457,
+      "loss": 0.3339,
+      "step": 8
+    },
+    {
+      "epoch": 0.782608695652174,
+      "grad_norm": 0.7385075688362122,
+      "learning_rate": 0.0001935016242685415,
+      "loss": 0.1994,
+      "step": 9
+    },
+    {
+      "epoch": 0.8695652173913043,
+      "grad_norm": 0.5156198740005493,
+      "learning_rate": 0.00019118998459920902,
+      "loss": 0.0954,
+      "step": 10
+    },
+    {
+      "epoch": 0.9565217391304348,
+      "grad_norm": 0.3693973124027252,
+      "learning_rate": 0.000188545602565321,
+      "loss": 0.06,
+      "step": 11
+    },
+    {
+      "epoch": 0.9565217391304348,
+      "eval_loss": 0.06161738932132721,
+      "eval_runtime": 16.8375,
+      "eval_samples_per_second": 0.535,
+      "eval_steps_per_second": 0.535,
+      "step": 11
+    },
+    {
+      "epoch": 1.0434782608695652,
+      "grad_norm": 0.3475421965122223,
+      "learning_rate": 0.00018557812723014476,
+      "loss": 0.0668,
+      "step": 12
+    },
+    {
+      "epoch": 1.1304347826086956,
+      "grad_norm": 0.2272304743528366,
+      "learning_rate": 0.00018229838658936564,
+      "loss": 0.0472,
+      "step": 13
+    },
+    {
+      "epoch": 1.2173913043478262,
+      "grad_norm": 0.18348968029022217,
+      "learning_rate": 0.00017871834806090501,
+      "loss": 0.0408,
+      "step": 14
+    },
+    {
+      "epoch": 1.3043478260869565,
+      "grad_norm": 0.1996564120054245,
+      "learning_rate": 0.00017485107481711012,
+      "loss": 0.0533,
+      "step": 15
+    },
+    {
+      "epoch": 1.391304347826087,
+      "grad_norm": 0.17511172592639923,
+      "learning_rate": 0.00017071067811865476,
+      "loss": 0.042,
+      "step": 16
+    },
+    {
+      "epoch": 1.4782608695652173,
+      "grad_norm": 0.14677977561950684,
+      "learning_rate": 0.00016631226582407952,
+      "loss": 0.0318,
+      "step": 17
+    },
+    {
+      "epoch": 1.5652173913043477,
+      "grad_norm": 0.19209422171115875,
+      "learning_rate": 0.00016167188726285434,
+      "loss": 0.0478,
+      "step": 18
+    },
+    {
+      "epoch": 1.6521739130434783,
+      "grad_norm": 0.222362220287323,
+      "learning_rate": 0.00015680647467311557,
+      "loss": 0.0578,
+      "step": 19
+    },
+    {
+      "epoch": 1.7391304347826086,
+      "grad_norm": 0.1985371708869934,
+      "learning_rate": 0.00015173378141776568,
+      "loss": 0.039,
+      "step": 20
+    },
+    {
+      "epoch": 1.8260869565217392,
+      "grad_norm": 0.19283267855644226,
+      "learning_rate": 0.00014647231720437686,
+      "loss": 0.0338,
+      "step": 21
+    },
+    {
+      "epoch": 1.9130434782608696,
+      "grad_norm": 0.18836742639541626,
+      "learning_rate": 0.0001410412805452757,
+      "loss": 0.0367,
+      "step": 22
+    },
+    {
+      "epoch": 2.0,
+      "grad_norm": 0.22117920219898224,
+      "learning_rate": 0.00013546048870425356,
+      "loss": 0.0562,
+      "step": 23
+    },
+    {
+      "epoch": 2.0,
+      "eval_loss": 0.042378202080726624,
+      "eval_runtime": 16.8523,
+      "eval_samples_per_second": 0.534,
+      "eval_steps_per_second": 0.534,
+      "step": 23
+    },
+    {
+      "epoch": 2.0869565217391304,
+      "grad_norm": 0.08625093847513199,
+      "learning_rate": 0.00012975030538552032,
+      "loss": 0.0223,
+      "step": 24
+    },
+    {
+      "epoch": 2.1739130434782608,
+      "grad_norm": 0.10370675474405289,
+      "learning_rate": 0.0001239315664287558,
+      "loss": 0.0292,
+      "step": 25
+    },
+    {
+      "epoch": 2.260869565217391,
+      "grad_norm": 0.15547294914722443,
+      "learning_rate": 0.0001180255037813906,
+      "loss": 0.0403,
+      "step": 26
+    },
+    {
+      "epoch": 2.3478260869565215,
+      "grad_norm": 0.1734398603439331,
+      "learning_rate": 0.0001120536680255323,
+      "loss": 0.0341,
+      "step": 27
+    },
+    {
+      "epoch": 2.4347826086956523,
+      "grad_norm": 0.12611858546733856,
+      "learning_rate": 0.00010603784974222861,
+      "loss": 0.025,
+      "step": 28
+    },
+    {
+      "epoch": 2.5217391304347827,
+      "grad_norm": 0.11490053683519363,
+      "learning_rate": 0.0001,
+      "loss": 0.0254,
+      "step": 29
+    },
+    {
+      "epoch": 2.608695652173913,
+      "grad_norm": 0.11299990862607956,
+      "learning_rate": 9.396215025777139e-05,
+      "loss": 0.0287,
+      "step": 30
+    },
+    {
+      "epoch": 2.6956521739130435,
+      "grad_norm": 0.09447255730628967,
+      "learning_rate": 8.79463319744677e-05,
+      "loss": 0.0226,
+      "step": 31
+    },
+    {
+      "epoch": 2.782608695652174,
+      "grad_norm": 0.13230058550834656,
+      "learning_rate": 8.197449621860943e-05,
+      "loss": 0.0277,
+      "step": 32
+    },
+    {
+      "epoch": 2.869565217391304,
+      "grad_norm": 0.13557763397693634,
+      "learning_rate": 7.606843357124426e-05,
+      "loss": 0.0325,
+      "step": 33
+    },
+    {
+      "epoch": 2.9565217391304346,
+      "grad_norm": 0.10920581966638565,
+      "learning_rate": 7.024969461447972e-05,
+      "loss": 0.0219,
+      "step": 34
+    },
+    {
+      "epoch": 2.9565217391304346,
+      "eval_loss": 0.041570067405700684,
+      "eval_runtime": 16.9013,
+      "eval_samples_per_second": 0.533,
+      "eval_steps_per_second": 0.533,
+      "step": 34
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 55,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 5,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 1208798594408448.0,
+  "train_batch_size": 1,
+  "trial_name": null,
+  "trial_params": null
+}