Init

.gitattributes

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 *.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

@@ -1,3 +1,37 @@
----
-license: apache-2.0
----
+---
+language: multilingual
+tags:
+- xlm-roberta
+- privacy
+- pii-detection
+- text-classification
+- multi-label-classification
+license: mit
+datasets:
+- custom
+---
+
+# PII Open Source Model
+
+PII Open Source Model is a fine-tuned version of `xlm-roberta-large` specifically designed for detecting privacy-related content in text.
+
+## Model Description
+
+This model focuses on 2 privacy-related categories:
+- **privacy_asking_for_pii**: Detects when someone is asking for personal information
+- **privacy_giving_pii**: Detects when someone is sharing personal information
+
+## Benchmarks
+
+Sean enters info here.
+
+## Citation
+
+```
+@misc{PII-Open-Source-Model,
+  author = {Sean},
+  title = {Privacy PII Detection},
+  year = {2025},
+  publisher = {Roblox}
+}
+```

config.json

@@ -0,0 +1,37 @@
+{
+  "_name_or_path": "xlm-roberta-large",
+  "architectures": [
+    "XLMRobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "p_privacy_asking_for_pii",
+    "1": "p_privacy_giving_pii"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "label2id": {
+    "p_privacy_asking_for_pii": 0,
+    "p_privacy_giving_pii": 1
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "xlm-roberta",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "multi_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.43.3",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
+}

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special_tokens_map.json

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+}

tokenizer.json

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tokenizer_config.json

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+  "tokenizer_class": "XLMRobertaTokenizer",
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+}