Upload PEFT LoRA adapter files

.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 +1,93 @@
+language:
+  - en
+  tags:
+  - peft
+  - lora
+  - medical
+  - triage
+  - emergency
+  - text-classification
+  base_model: google/medgemma-4b-it
+  library_name: peft
+  pipeline_tag: text-classification
+  license: mit
+  ---
+
+  # ESI-1 LoRA Adapter (MIETIC) for MedGemma 4B
+
+  ## Model Summary
+  This repository contains a **LoRA adapter** (not a full standalone model) for **ESI-1 prediction** in emergency triage settings.
+  The adapter is trained on **MIETIC** using **few-shot, parameter-efficient fine-tuning (PEFT)** on top of **MedGemma 4B** (`google/medgemma-4b-it`).
+
+  ## Model Details
+  - **Model type:** LoRA adapter
+  - **Base model:** `google/medgemma-4b-it`
+  - **Task:** ESI-1 prediction (emergency severity triage)
+  - **Training approach:** Specialized few-shot PEFT
+  - **Repository owner:** `AdilA1016`
+
+  ## Files in this Repo
+  - `adapter_config.json`
+  - `adapter_model.safetensors`
+  - `chat_template.jinja`
+  - `processor_config.json`
+  - `tokenizer_config.json`
+  - `tokenizer.json`
+
+  ## Intended Use
+  This model is intended for **research and decision-support prototyping** for emergency triage workflows.
+  It is **not** intended to replace clinician judgment.
+
+  ## Out-of-Scope / Limitations
+  - Not validated as an autonomous clinical decision maker.
+  - Performance may vary by site, population, and documentation style.
+  - Should not be used as the sole basis for real-time medical decisions.
+
+  ## Training Data
+  - **Dataset:** MIETIC
+  - **Domain:** Emergency/clinical triage text
+  - **Label focus:** ESI-1 identification
+
+  > Add a short description of MIETIC access/curation and any preprocessing steps you applied.
+
+  ## Training Procedure
+  - **Method:** LoRA fine-tuning on MedGemma 4B
+  - **Regime:** Few-shot specialized adaptation
+  - **Frameworks:** PEFT + Transformers
+  - **Hardware:** [fill in]
+  - **Epochs / steps:** [fill in]
+  - **Learning rate:** [fill in]
+  - **Batch size:** [fill in]
+  - **LoRA config (`r`, `alpha`, target modules):** [fill in]
+
+  ## Evaluation
+  - **Validation setup:** [fill in]
+  - **Primary metrics:** [fill in, e.g., recall/precision/F1 for ESI-1]
+  - **Key results:** [fill in]
+  - **Failure modes observed:** [fill in]
+
+  ## Usage
+
+  ```python
+  from transformers import AutoModelForCausalLM, AutoTokenizer
+  from peft import PeftModel
+
+  base_id = "google/medgemma-4b-it"
+  adapter_id = "AdilA1016/esi1trainedmodel"
+
+  tokenizer = AutoTokenizer.from_pretrained(adapter_id)
+  base_model = AutoModelForCausalLM.from_pretrained(base_id)
+  model = PeftModel.from_pretrained(base_model, adapter_id)
+
+  ## Safety and Ethics
+
+  This model operates in a high-stakes medical context. Outputs may be incorrect, incomplete, or biased.
+  Human oversight by qualified clinicians is required for any practical use.
+
+  ## Citation
+
+  If you use this adapter, please cite:
+
+  - MIETIC dataset/source: [fill in]
+  - MedGemma base model: [fill in official citation/link]
+  - This repository: AdilA1016/esi1trainedmodel

adapter_config.json

@@ -0,0 +1,50 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "Gemma3ForConditionalGeneration",
+    "parent_library": "transformers.models.gemma3.modeling_gemma3",
+    "unsloth_fixed": true
+  },
+  "base_model_name_or_path": "unsloth/medgemma-4b-it-unsloth-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": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "up_proj",
+    "q_proj",
+    "o_proj",
+    "k_proj",
+    "down_proj",
+    "v_proj",
+    "gate_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:acf2d81c44436f80f82570708da1ee8145011db89c34d172dd17d1cb2d8c902a
+size 131252288

chat_template.jinja

@@ -0,0 +1,47 @@
+{{ bos_token }}
+{%- if messages[0]['role'] == 'system' -%}
+    {%- if messages[0]['content'] is string -%}
+        {%- set first_user_prefix = messages[0]['content'] + '
+
+' -%}
+    {%- else -%}
+        {%- set first_user_prefix = messages[0]['content'][0]['text'] + '
+
+' -%}
+    {%- endif -%}
+    {%- set loop_messages = messages[1:] -%}
+{%- else -%}
+    {%- set first_user_prefix = "" -%}
+    {%- set loop_messages = messages -%}
+{%- endif -%}
+{%- for message in loop_messages -%}
+    {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}
+        {{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }}
+    {%- endif -%}
+    {%- if (message['role'] == 'assistant') -%}
+        {%- set role = "model" -%}
+    {%- else -%}
+        {%- set role = message['role'] -%}
+    {%- endif -%}
+    {{ '<start_of_turn>' + role + '
+' + (first_user_prefix if loop.first else "") }}
+    {%- if message['content'] is string -%}
+        {{ message['content'] | trim }}
+    {%- elif message['content'] is iterable -%}
+        {%- for item in message['content'] -%}
+            {%- if item['type'] == 'image' -%}
+                {{ '<start_of_image>' }}
+            {%- elif item['type'] == 'text' -%}
+                {{ item['text'] | trim }}
+            {%- endif -%}
+        {%- endfor -%}
+    {%- else -%}
+        {{ raise_exception("Invalid content type") }}
+    {%- endif -%}
+    {{ '<end_of_turn>
+' }}
+{%- endfor -%}
+{%- if add_generation_prompt -%}
+    {{'<start_of_turn>model
+'}}
+{%- endif -%}

processor_config.json

@@ -0,0 +1,29 @@
+{
+  "image_processor": {
+    "data_format": "channels_first",
+    "do_convert_rgb": null,
+    "do_normalize": true,
+    "do_rescale": true,
+    "do_resize": true,
+    "image_mean": [
+      0.5,
+      0.5,
+      0.5
+    ],
+    "image_processor_type": "Gemma3ImageProcessorFast",
+    "image_seq_length": 256,
+    "image_std": [
+      0.5,
+      0.5,
+      0.5
+    ],
+    "resample": 2,
+    "rescale_factor": 0.00392156862745098,
+    "size": {
+      "height": 896,
+      "width": 896
+    }
+  },
+  "image_seq_length": 256,
+  "processor_class": "Gemma3Processor"
+}

tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:daab2354f8a74e70d70b4d1f804939b68a8c9624dd06cb7858e52dd8970e9726
+size 33384567

tokenizer_config.json

@@ -0,0 +1,25 @@
+{
+  "backend": "tokenizers",
+  "boi_token": "<start_of_image>",
+  "bos_token": "<bos>",
+  "clean_up_tokenization_spaces": false,
+  "eoi_token": "<end_of_image>",
+  "eos_token": "<end_of_turn>",
+  "image_token": "<image_soft_token>",
+  "is_local": false,
+  "mask_token": "<mask>",
+  "model_max_length": 131072,
+  "model_specific_special_tokens": {
+    "boi_token": "<start_of_image>",
+    "eoi_token": "<end_of_image>",
+    "image_token": "<image_soft_token>"
+  },
+  "pad_token": "<pad>",
+  "padding_side": "right",
+  "processor_class": "Gemma3Processor",
+  "sp_model_kwargs": null,
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "GemmaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}