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+# Job Tag Embedding Model (Dev)
+
+Fine-tuned embedding model for job category recommendation based on [BAAI/bge-large-zh-v1.5](https://huggingface.co/BAAI/bge-large-zh-v1.5).
+
+## Model Details
+
+- **Base Model:** 1111DataScience/job_tag_embedding
+- **Training Data:** Job titles and category pairs
+- **Training Steps:** 1,920 (3 epochs)
+- **Final Loss:** 2.126
+
+## Usage
+
+```python
+from FlagEmbedding import FlagModel
+
+# Load model
+model = FlagModel('1111DataScience/job_tag_embedding_dev', use_fp16=True)
+
+# Encode query (job title)
+query_embedding = model.encode_queries(["內外場儲備幹部"])
+
+# Encode candidates (job categories)
+candidate_embeddings = model.encode([
+    "儲備幹部",
+    "餐廚助手",
+    "餐飲服務人員"
+])
+
+# Calculate similarity
+similarities = query_embedding @ candidate_embeddings.T
+```
+
+## Training Command
+
+```bash
+torchrun --nproc_per_node 1 \
+    -m FlagEmbedding.finetune.embedder.encoder_only.base \
+    --model_name_or_path 1111DataScience/job_tag_embedding \
+    --cache_dir ./cache/model \
+    --train_data training_data.jsonl \
+    --output_dir ./output
+```