Training in progress epoch 0
Browse files- README.md +52 -0
- config.json +25 -0
- special_tokens_map.json +7 -0
- tf_model.h5 +3 -0
- tokenizer.json +504 -0
- tokenizer_config.json +13 -0
- vocab.json +1 -0
README.md
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---
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license: apache-2.0
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tags:
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- generated_from_keras_callback
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model-index:
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- name: hsohn3/mayo-bert-uncased-wordlevel-block512-ep10
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results: []
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---
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<!-- This model card has been generated automatically according to the information Keras had access to. You should
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probably proofread and complete it, then remove this comment. -->
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# hsohn3/mayo-bert-uncased-wordlevel-block512-ep10
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 3.0885
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- Epoch: 0
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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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- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
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- training_precision: float32
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### Training results
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| Train Loss | Epoch |
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|:----------:|:-----:|
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| 3.0885 | 0 |
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### Framework versions
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- Transformers 4.20.1
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- TensorFlow 2.8.2
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- Datasets 2.3.2
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- Tokenizers 0.12.1
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config.json
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{
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"_name_or_path": "bert-base-uncased",
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"architectures": [
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"BertForMaskedLM"
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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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"initializer_range": 0.02,
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"intermediate_size": 3072,
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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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"transformers_version": "4.20.1",
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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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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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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:4dc94a2ad91a9c5216fc60467a1e525ac99a8118ecf72c0435ac568179b7d2e0
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size 533687680
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tokenizer.json
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{
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"version": "1.0",
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"truncation": null,
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"padding": null,
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"added_tokens": [
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{
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"id": 0,
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"content": "[UNK]",
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"single_word": false,
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"lstrip": false,
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"rstrip": false,
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"normalized": false,
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"special": true
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},
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{
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"id": 1,
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"content": "[PAD]",
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"single_word": false,
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"lstrip": false,
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"rstrip": false,
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"normalized": false,
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"special": true
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},
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{
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"id": 2,
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"content": "[CLS]",
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"single_word": false,
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"lstrip": false,
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"rstrip": false,
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"normalized": false,
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"special": true
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},
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{
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"id": 3,
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"content": "[SEP]",
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"single_word": false,
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"lstrip": false,
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"rstrip": false,
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"normalized": false,
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"special": true
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},
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{
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"id": 4,
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"content": "[MASK]",
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"single_word": false,
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"lstrip": false,
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"rstrip": false,
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"normalized": false,
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"special": true
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}
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],
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"normalizer": {
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"type": "BertNormalizer",
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"clean_text": true,
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"handle_chinese_chars": true,
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"strip_accents": null,
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"lowercase": true
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},
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"pre_tokenizer": {
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"type": "WhitespaceSplit"
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},
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"post_processor": {
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"type": "TemplateProcessing",
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"single": [
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{
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"SpecialToken": {
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"id": "[CLS]",
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"type_id": 0
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}
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},
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{
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"Sequence": {
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"id": "A",
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"type_id": 0
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}
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},
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{
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"SpecialToken": {
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"id": "[SEP]",
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"type_id": 0
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}
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}
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],
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"pair": [
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{
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"SpecialToken": {
|
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"id": "[CLS]",
|
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"type_id": 0
|
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}
|
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},
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{
|
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"Sequence": {
|
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"id": "A",
|
94 |
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"type_id": 0
|
95 |
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}
|
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},
|
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{
|
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"SpecialToken": {
|
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"id": "[SEP]",
|
100 |
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"type_id": 0
|
101 |
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}
|
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},
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{
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"Sequence": {
|
105 |
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"id": "B",
|
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"type_id": 1
|
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}
|
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},
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{
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"SpecialToken": {
|
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"id": "[SEP]",
|
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"type_id": 1
|
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}
|
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}
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],
|
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"special_tokens": {
|
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"[CLS]": {
|
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"id": "[CLS]",
|
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"ids": [
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2
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],
|
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"tokens": [
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"[CLS]"
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]
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},
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"[SEP]": {
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"id": "[SEP]",
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"ids": [
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3
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],
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"tokens": [
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"[SEP]"
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]
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}
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}
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},
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"decoder": {
|
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"type": "WordPiece",
|
139 |
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"prefix": "##",
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140 |
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"cleanup": true
|
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},
|
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"model": {
|
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"type": "WordLevel",
|
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"vocab": {
|
145 |
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"[UNK]": 0,
|
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"[PAD]": 1,
|
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"[CLS]": 2,
|
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"[SEP]": 3,
|
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"[MASK]": 4,
|
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"hr=n": 5,
|
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"rr=n": 6,
|
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"fio2=h": 7,
|
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"spo2=n": 8,
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"sbp=n": 9,
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"map=n": 10,
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"dbp=n": 11,
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"temp=n": 12,
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"fio2=n": 13,
|
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"hr=h": 14,
|
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"rr=h": 15,
|
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"of=n": 16,
|
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"hr=l": 17,
|
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"map=h": 18,
|
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"dbp=h": 19,
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|
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|
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|
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|
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|
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|
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|
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|
483 |
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|
484 |
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|
485 |
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|
486 |
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|
487 |
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|
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|
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|
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|
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|
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|
493 |
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|
494 |
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|
495 |
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|
496 |
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|
497 |
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|
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|
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|
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|
501 |
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|
502 |
+
"unk_token": "[UNK]"
|
503 |
+
}
|
504 |
+
}
|
tokenizer_config.json
ADDED
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"cls_token": "[CLS]",
|
3 |
+
"do_lower_case": true,
|
4 |
+
"mask_token": "[MASK]",
|
5 |
+
"name_or_path": "/content/drive/MyDrive/Experiments/tokenizers/bert-ehr-wordlevel-uncased",
|
6 |
+
"pad_token": "[PAD]",
|
7 |
+
"sep_token": "[SEP]",
|
8 |
+
"special_tokens_map_file": "/content/drive/MyDrive/Experiments/tokenizers/bert-ehr-wordlevel-uncased/special_tokens_map.json",
|
9 |
+
"strip_accents": null,
|
10 |
+
"tokenize_chinese_chars": true,
|
11 |
+
"tokenizer_class": "BertTokenizer",
|
12 |
+
"unk_token": "[UNK]"
|
13 |
+
}
|
vocab.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
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