Upload ModernBERT PII NER model
Browse files- README.md +50 -0
- config.json +176 -0
- model.safetensors +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +16 -0
- training_args.bin +3 -0
README.md
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---
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license: apache-2.0
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base_model: answerdotai/ModernBERT-base
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tags:
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- token-classification
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- named-entity-recognition
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- pii
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- modernbert
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language:
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- en
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pipeline_tag: token-classification
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---
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# modernbert-pii
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ModernBERT fine-tuned for token classification (NER) to detect PII in
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Australian clinical notes. Labels use the BIO scheme over these entity types:
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- `ACD`
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- `ADDRESS`
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- `AGE`
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- `ATTENDING_NURSE`
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- `COUNTRY_OF_BIRTH`
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- `DATE_OF_BIRTH`
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- `DVA_NUMBER`
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- `EMAIL`
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- `FULL_NAME`
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- `GUARDIANSHIP`
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- `IHI`
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- `MEDICARE_NUMBER`
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- `MRN`
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- `NEXT_OF_KIN`
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- `OCCUPATION`
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- `OTHER_CLINICAL_STAFF`
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- `PHONE_NUMBER`
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- `PREFERRED_NAME`
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- `PRIVATE_HEALTH_NUMBER`
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- `REFERRING_GP`
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- `SEX_GENDER`
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- `TREATING_CLINICIAN`
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- `WORKCOVER`
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## Usage
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```python
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from transformers import pipeline
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ner = pipeline("token-classification", model="Cbezz/modernbert-pii", aggregation_strategy="simple")
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ner("Patient John Smith, DOB 12/03/1980, MRN 4456219.")
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```
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config.json
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{
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"architectures": [
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"ModernBertForTokenClassification"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": null,
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"classifier_activation": "gelu",
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"classifier_bias": false,
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"classifier_dropout": 0.0,
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"classifier_pooling": "mean",
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"cls_token_id": 50281,
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"decoder_bias": true,
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"deterministic_flash_attn": false,
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"dtype": "float32",
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"embedding_dropout": 0.0,
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"eos_token_id": null,
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"global_attn_every_n_layers": 3,
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"gradient_checkpointing": false,
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"hidden_activation": "gelu",
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"hidden_size": 768,
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"id2label": {
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"0": "O",
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"1": "B-ACD",
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"2": "I-ACD",
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"3": "B-ADDRESS",
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"4": "I-ADDRESS",
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"5": "B-AGE",
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"6": "I-AGE",
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"7": "B-ATTENDING_NURSE",
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"8": "I-ATTENDING_NURSE",
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"9": "B-COUNTRY_OF_BIRTH",
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"10": "I-COUNTRY_OF_BIRTH",
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"11": "B-DATE_OF_BIRTH",
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"12": "I-DATE_OF_BIRTH",
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"13": "B-DVA_NUMBER",
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"14": "I-DVA_NUMBER",
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"15": "B-EMAIL",
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"16": "I-EMAIL",
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"17": "B-FULL_NAME",
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"18": "I-FULL_NAME",
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"19": "B-GUARDIANSHIP",
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"20": "I-GUARDIANSHIP",
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"21": "B-IHI",
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"22": "I-IHI",
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"23": "B-MEDICARE_NUMBER",
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"24": "I-MEDICARE_NUMBER",
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"25": "B-MRN",
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"26": "I-MRN",
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"27": "B-NEXT_OF_KIN",
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"28": "I-NEXT_OF_KIN",
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"29": "B-OCCUPATION",
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"30": "I-OCCUPATION",
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"31": "B-OTHER_CLINICAL_STAFF",
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"32": "I-OTHER_CLINICAL_STAFF",
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"33": "B-PHONE_NUMBER",
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"34": "I-PHONE_NUMBER",
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"35": "B-PREFERRED_NAME",
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"36": "I-PREFERRED_NAME",
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"37": "B-PRIVATE_HEALTH_NUMBER",
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"38": "I-PRIVATE_HEALTH_NUMBER",
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"39": "B-REFERRING_GP",
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"40": "I-REFERRING_GP",
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"41": "B-SEX_GENDER",
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"42": "I-SEX_GENDER",
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"43": "B-TREATING_CLINICIAN",
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"44": "I-TREATING_CLINICIAN",
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"45": "B-WORKCOVER",
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"46": "I-WORKCOVER"
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},
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"initializer_cutoff_factor": 2.0,
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"initializer_range": 0.02,
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"intermediate_size": 1152,
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"label2id": {
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"B-ACD": 1,
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"B-ADDRESS": 3,
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"B-AGE": 5,
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"B-ATTENDING_NURSE": 7,
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"B-COUNTRY_OF_BIRTH": 9,
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"B-DATE_OF_BIRTH": 11,
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"B-DVA_NUMBER": 13,
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"B-EMAIL": 15,
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"B-FULL_NAME": 17,
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"B-GUARDIANSHIP": 19,
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"B-IHI": 21,
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"B-MEDICARE_NUMBER": 23,
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"B-MRN": 25,
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"B-NEXT_OF_KIN": 27,
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"B-OCCUPATION": 29,
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"B-OTHER_CLINICAL_STAFF": 31,
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"B-PHONE_NUMBER": 33,
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"B-PREFERRED_NAME": 35,
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"B-PRIVATE_HEALTH_NUMBER": 37,
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"B-REFERRING_GP": 39,
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"B-SEX_GENDER": 41,
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"B-TREATING_CLINICIAN": 43,
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"B-WORKCOVER": 45,
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"I-ACD": 2,
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"I-ADDRESS": 4,
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"I-AGE": 6,
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"I-ATTENDING_NURSE": 8,
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"I-COUNTRY_OF_BIRTH": 10,
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"I-DATE_OF_BIRTH": 12,
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"I-DVA_NUMBER": 14,
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"I-EMAIL": 16,
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| 106 |
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"I-FULL_NAME": 18,
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"I-GUARDIANSHIP": 20,
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"I-IHI": 22,
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"I-MEDICARE_NUMBER": 24,
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"I-MRN": 26,
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| 111 |
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"I-NEXT_OF_KIN": 28,
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| 112 |
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"I-OCCUPATION": 30,
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"I-OTHER_CLINICAL_STAFF": 32,
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"I-PHONE_NUMBER": 34,
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"I-PREFERRED_NAME": 36,
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"I-PRIVATE_HEALTH_NUMBER": 38,
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"I-REFERRING_GP": 40,
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| 118 |
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"I-SEX_GENDER": 42,
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| 119 |
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"I-TREATING_CLINICIAN": 44,
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| 120 |
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"I-WORKCOVER": 46,
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"O": 0
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},
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"layer_norm_eps": 1e-05,
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"layer_types": [
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"full_attention",
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"sliding_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"sliding_attention",
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"full_attention",
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| 132 |
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"sliding_attention",
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| 133 |
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"sliding_attention",
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| 134 |
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"full_attention",
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| 135 |
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"sliding_attention",
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"sliding_attention",
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"full_attention",
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| 138 |
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"sliding_attention",
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"sliding_attention",
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"full_attention",
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| 141 |
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"sliding_attention",
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| 142 |
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"sliding_attention",
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| 143 |
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"full_attention",
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| 144 |
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"sliding_attention",
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| 145 |
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"sliding_attention",
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| 146 |
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"full_attention"
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],
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"local_attention": 128,
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| 149 |
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"max_position_embeddings": 8192,
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| 150 |
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"mlp_bias": false,
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| 151 |
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"mlp_dropout": 0.0,
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"model_type": "modernbert",
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| 153 |
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"norm_bias": false,
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| 154 |
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"norm_eps": 1e-05,
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| 155 |
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"num_attention_heads": 12,
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| 156 |
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"num_hidden_layers": 22,
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| 157 |
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"pad_token_id": 50283,
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| 158 |
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"position_embedding_type": "absolute",
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| 159 |
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"rope_parameters": {
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| 160 |
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"full_attention": {
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| 161 |
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"rope_theta": 160000.0,
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| 162 |
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"rope_type": "default"
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| 163 |
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},
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| 164 |
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"sliding_attention": {
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| 165 |
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"rope_theta": 10000.0,
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| 166 |
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"rope_type": "default"
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| 167 |
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}
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| 168 |
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},
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| 169 |
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"sep_token_id": 50282,
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| 170 |
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"sparse_pred_ignore_index": -100,
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| 171 |
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"sparse_prediction": false,
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| 172 |
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"tie_word_embeddings": true,
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| 173 |
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"transformers_version": "5.3.0",
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| 174 |
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"use_cache": false,
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| 175 |
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"vocab_size": 50368
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| 176 |
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:415a47eb4646e8cf83e2a2e3c9135ce712e763dd122eff6c394d1fa82a9f3e25
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size 598578212
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tokenizer.json
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See raw diff
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tokenizer_config.json
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{
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"backend": "tokenizers",
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| 3 |
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"clean_up_tokenization_spaces": true,
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| 4 |
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"cls_token": "[CLS]",
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| 5 |
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"is_local": false,
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| 6 |
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"mask_token": "[MASK]",
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| 7 |
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"model_input_names": [
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| 8 |
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"input_ids",
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| 9 |
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"attention_mask"
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| 10 |
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],
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| 11 |
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"model_max_length": 8192,
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| 12 |
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"pad_token": "[PAD]",
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| 13 |
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"sep_token": "[SEP]",
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| 14 |
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"tokenizer_class": "TokenizersBackend",
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| 15 |
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"unk_token": "[UNK]"
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| 16 |
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:11f76064b6b389e75db95abcb272d01b3190bff761ce32639bb6df48b5939637
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size 4792
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