Token Classification
Transformers
Safetensors
English
roberta
ner
insurance
billing
healthcare
clarioscope
Eval Results (legacy)
Instructions to use raihan-js/clarioscope-insurance-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raihan-js/clarioscope-insurance-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="raihan-js/clarioscope-insurance-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("raihan-js/clarioscope-insurance-v1") model = AutoModelForTokenClassification.from_pretrained("raihan-js/clarioscope-insurance-v1") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files- config.json +82 -0
- model.safetensors +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +17 -0
- training_args.bin +3 -0
config.json
ADDED
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{
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"add_cross_attention": false,
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"architectures": [
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"RobertaForTokenClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"classifier_dropout": null,
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"dtype": "float32",
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"eos_token_id": 2,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "O",
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"1": "B-CARRIER",
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"2": "B-PLAN_TYPE",
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"3": "B-MEMBER_ID",
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"4": "B-GROUP_NUMBER",
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"5": "B-POLICY_NUMBER",
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"6": "B-SUBSCRIBER_NAME",
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"7": "B-RELATIONSHIP",
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"8": "B-CLAIM_ID",
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"9": "B-AUTH_NUMBER",
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"10": "B-COPAY",
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"11": "B-DEDUCTIBLE",
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"12": "B-BILLED_AMOUNT",
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"13": "I-CARRIER",
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"14": "I-PLAN_TYPE",
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"15": "I-MEMBER_ID",
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"16": "I-GROUP_NUMBER",
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"17": "I-POLICY_NUMBER",
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"18": "I-SUBSCRIBER_NAME",
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"19": "I-RELATIONSHIP",
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"20": "I-CLAIM_ID",
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"21": "I-AUTH_NUMBER",
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"22": "I-COPAY",
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"23": "I-DEDUCTIBLE",
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"24": "I-BILLED_AMOUNT"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"is_decoder": false,
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"label2id": {
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"B-AUTH_NUMBER": 9,
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"B-BILLED_AMOUNT": 12,
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"B-CARRIER": 1,
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"B-CLAIM_ID": 8,
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"B-COPAY": 10,
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"B-DEDUCTIBLE": 11,
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"B-GROUP_NUMBER": 4,
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"B-MEMBER_ID": 3,
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"B-PLAN_TYPE": 2,
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"B-POLICY_NUMBER": 5,
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"B-RELATIONSHIP": 7,
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"B-SUBSCRIBER_NAME": 6,
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"I-AUTH_NUMBER": 21,
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"I-BILLED_AMOUNT": 24,
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"I-CARRIER": 13,
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"I-CLAIM_ID": 20,
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"I-COPAY": 22,
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"I-DEDUCTIBLE": 23,
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"I-GROUP_NUMBER": 16,
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"I-MEMBER_ID": 15,
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"I-PLAN_TYPE": 14,
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"I-POLICY_NUMBER": 17,
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"I-RELATIONSHIP": 19,
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"I-SUBSCRIBER_NAME": 18,
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"O": 0
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},
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "roberta",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"tie_word_embeddings": true,
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"transformers_version": "5.8.0",
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"type_vocab_size": 1,
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"use_cache": false,
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"vocab_size": 50265
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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:b25498248eafe579281f6490b6cf41a639705761967df01cbef240998d74df89
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size 496320996
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tokenizer.json
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The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"backend": "tokenizers",
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"bos_token": "<s>",
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"cls_token": "<s>",
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"eos_token": "</s>",
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"errors": "replace",
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"is_local": false,
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"local_files_only": false,
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"mask_token": "<mask>",
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"model_max_length": 512,
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"tokenizer_class": "RobertaTokenizer",
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"trim_offsets": true,
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"unk_token": "<unk>"
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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:e5ff8539bec4c8e05f5fa584b6cdcda5caec68fa2b38b87e5cd38c8c660f362e
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size 5329
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