End of training
Browse files- README.md +54 -0
- config.json +74 -0
- model.safetensors +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +55 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
README.md
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---
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license: apache-2.0
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base_model: google-bert/bert-base-uncased
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tags:
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- generated_from_trainer
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model-index:
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- name: Bert_base_NER_PII_20ents
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/tuevu_smu/huggingface/runs/obf097yt)
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# Bert_base_NER_PII_20ents
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This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on the None dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 16
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- eval_batch_size: 64
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- num_epochs: 3
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### Training results
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### Framework versions
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- Transformers 4.41.0.dev0
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- Pytorch 1.13.1
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- Datasets 2.18.0
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- Tokenizers 0.19.1
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config.json
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{
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"_name_or_path": "google-bert/bert-base-uncased",
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"architectures": [
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"BertForTokenClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"gradient_checkpointing": false,
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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": "ACCOUNTNAME",
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"1": "ADDRESS",
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"2": "BLOODTYPE",
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"3": "CREDITCARD",
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"4": "CURRENCY",
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"5": "DATE",
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"6": "EMAIL",
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"7": "GENDER",
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"8": "GEO",
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"9": "HEIGHT",
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"10": "IBAN",
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"11": "NEARBYGPSCOORDINATE",
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"12": "JOB",
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"13": "NAME",
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"14": "PHONE",
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"15": "SSN",
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"16": "STREET",
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"17": "VEHICLEVRM",
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"18": "WEIGHTS",
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"19": "ZIPCODE",
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"20": "IP",
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"21": "O"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"ACCOUNTNAME": 0,
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"ADDRESS": 1,
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"BLOODTYPE": 2,
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"CREDITCARD": 3,
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"CURRENCY": 4,
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"DATE": 5,
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"EMAIL": 6,
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"GENDER": 7,
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"GEO": 8,
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"HEIGHT": 9,
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"IBAN": 10,
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"IP": 20,
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"JOB": 12,
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"NAME": 13,
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"NEARBYGPSCOORDINATE": 11,
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"O": 21,
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"PHONE": 14,
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"SSN": 15,
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"STREET": 16,
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"VEHICLEVRM": 17,
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"WEIGHTS": 18,
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"ZIPCODE": 19
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.41.0.dev0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30522
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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 sha256:7eac4046ee3c61c95325347983a3543a6310935dcb45c3c306a49323f01a8e5b
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size 435657608
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special_tokens_map.json
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{
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"cls_token": "[CLS]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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}
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tokenizer.json
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tokenizer_config.json
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{
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"added_tokens_decoder": {
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"0": {
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"content": "[PAD]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"100": {
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"content": "[UNK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"101": {
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"content": "[CLS]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"102": {
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"content": "[SEP]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"103": {
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"content": "[MASK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"clean_up_tokenization_spaces": true,
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"cls_token": "[CLS]",
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"do_lower_case": true,
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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": "[SEP]",
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "BertTokenizer",
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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 sha256:58a534b495e8e16341f3680c937b4ec0e34f4084196165000d3f893866533273
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size 4603
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vocab.txt
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