Upload PIIBench Direct DeBERTa fine-tuned model

README.md

@@ -1,24 +1,57 @@
 ---
-license: apache-2.0
+license: other
 library_name: transformers
 pipeline_tag: token-classification
 base_model: microsoft/deberta-v3-base
+datasets:
+- Pritesh-2711/pii-bench
+metrics:
+- f1
 tags:
 - pii-detection
 - token-classification
 - named-entity-recognition
 - deberta
 - piibench
-datasets:
-- Pritesh-2711/pii-bench
-metrics:
-- f1
 ---
 
-# PIIBench DeBERTa Base Model
+# PIIBench Direct Fine-Tuned DeBERTa
+
+This is the final selected PIIBench model: a standard DeBERTa-v3-base token
+classifier trained directly on the prepared multi-source PII benchmark splits.
+It outperformed the source-conditioned hierarchical comparison model on the
+complete held-out experiment test split.
+
+## Results
+
+The reported evaluation uses the later prepared PIIBench experiment variant
+with `82` retained entity types and a held-out test split of `100,002` records.
+It is not the earlier `48`-type Hub dataset release.
+
+| Held-Out Evaluation | Records | F1 | Precision | Recall |
+|---|---:|---:|---:|---:|
+| Corrected heldout subset | 5,000 | 0.6476 | 0.6300 | 0.6662 |
+| Complete experiment test split | 100,002 | 0.6455 | 0.6277 | 0.6645 |
+
+Full-test SHA-256:
+`65f8edc86399ba3f9e4ba44591d4583f9271f5d1df20e30a913305049559df77`
+
+## Usage
+
+This is a standard Transformers token-classification model:
+
+```python
+from transformers import pipeline
+
+pipe = pipeline(
+    "token-classification",
+    model="Pritesh-2711/piibench-deberta-base",
+    aggregation_strategy="simple",
+)
+print(pipe("Contact me at jane@example.com."))
+```
+
+## Related Resources
 
-Dataset: https://huggingface.co/datasets/Pritesh-2711/pii-bench  
-GitHub: https://github.com/pritesh-2711/pii-bench
-Full test F1: 0.6455
-Precision: 0.6277
-Recall: 0.6645
+- Dataset: [Pritesh-2711/pii-bench](https://huggingface.co/datasets/Pritesh-2711/pii-bench)
+- Source-conditioned hierarchical comparison model: [Pritesh-2711/piibench-deberta-sch](https://huggingface.co/Pritesh-2711/piibench-deberta-sch)

tokenizer_config.json

@@ -48,15 +48,10 @@
   "cls_token": "[CLS]",
   "do_lower_case": false,
   "eos_token": "[SEP]",
-  "extra_special_tokens": [
-    "[PAD]",
-    "[CLS]",
-    "[SEP]"
-  ],
   "is_local": false,
   "local_files_only": false,
   "mask_token": "[MASK]",
-  "model_max_length": 1000000000000000019884624838656,
+  "model_max_length": 256,
   "pad_token": "[PAD]",
   "sep_token": "[SEP]",
   "split_by_punct": false,