Upload TriageBERT ESI model (recall optimized)

README.md

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+---
+license: apache-2.0
+language:
+- en
+tags:
+- medical
+- triage
+- classification
+- emergency
+- esi
+pipeline_tag: text-classification
+---
+
+# TriageBERT - ESI Triage Classification Model
+
+A BERT-based model fine-tuned for Emergency Severity Index (ESI) classification on PubMedBERT.
+
+## Model Description
+
+This model classifies emergency medical text into 5 ESI levels:
+- **ESI 1**: Immediate (life-threatening)
+- **ESI 2**: Emergent (high risk)
+- **ESI 3**: Urgent (stable but needs multiple resources)
+- **ESI 4**: Less Urgent (single resource needed)
+- **ESI 5**: Non-Urgent (no resources needed)
+
+## Training
+
+- **Base Model**: PubMedBERT (biomedical domain)
+- **Training Data**: MIMIC-IV ED-Triage data + synthetic data
+- **Optimization**: Recall-optimized for critical cases (ESI 1-2)
+
+## Usage
+
+```python
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
+import torch
+
+# Load model
+tokenizer = AutoTokenizer.from_pretrained("SHUB-8/Triage-BERT")
+model = AutoModelForSequenceClassification.from_pretrained("SHUB-8/Triage-BERT")
+
+# Predict
+text = "Patient has chest pain and difficulty breathing"
+inputs = tokenizer(text, return_tensors="pt", truncation=True, max_length=128)
+
+with torch.no_grad():
+    outputs = model(**inputs)
+    probs = torch.softmax(outputs.logits, dim=1)
+    esi_level = torch.argmax(probs).item() + 1  # ESI 1-5
+
+print(f"ESI Level: {esi_level}")
+```
+
+## Performance
+
+| Metric | Value |
+|--------|-------|
+| Accuracy | ~85% |
+| Recall (ESI 1-2) | ~92% |
+| F1 Score | ~83% |
+
+## Intended Use
+
+- Emergency department triage assistance
+- Medical emergency prioritization
+- Healthcare AI research
+
+## Limitations
+
+- English language only
+- Should be used as decision support, not replacement for clinical judgment
+- Performance may vary on out-of-distribution data
+
+## Citation
+
+If you use this model, please cite:
+```
+@misc{triage-bert-esi,
+  author = {Your Name},
+  title = {TriageBERT: ESI Triage Classification Model},
+  year = {2024},
+  publisher = {Hugging Face},
+  url = {https://huggingface.co/SHUB-8/triage-bert-esi-recall-optimized}
+}
+```

config.json

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+{
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "dtype": "float32",
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "transformers_version": "4.57.3",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:1c100e7ddcb769e78f5af52eafe4d20b9bee3dd5066eb46a358d2b7867dfdef7
+size 437967876

special_tokens_map.json

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+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "4": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "extra_special_tokens": {},
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "never_split": null,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}