Instructions to use choiruzzia/22best_berita_bert_model_fold_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use choiruzzia/22best_berita_bert_model_fold_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="choiruzzia/22best_berita_bert_model_fold_2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("choiruzzia/22best_berita_bert_model_fold_2") model = AutoModelForSequenceClassification.from_pretrained("choiruzzia/22best_berita_bert_model_fold_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training fold 1
Browse files- README.md +76 -0
- config.json +37 -0
- model.safetensors +3 -0
- runs/Jul17_18-14-49_92dcd9e51f7a/events.out.tfevents.1721240091.92dcd9e51f7a.34.0 +3 -0
- runs/Jul17_18-14-49_92dcd9e51f7a/events.out.tfevents.1721240637.92dcd9e51f7a.34.1 +3 -0
- special_tokens_map.json +37 -0
- tokenizer_config.json +59 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
README.md
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---
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license: mit
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base_model: ayameRushia/bert-base-indonesian-1.5G-sentiment-analysis-smsa
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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- precision
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- recall
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- f1
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model-index:
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- name: 22best_berita_bert_model_fold_2
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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"/>]()
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# 22best_berita_bert_model_fold_2
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This model is a fine-tuned version of [ayameRushia/bert-base-indonesian-1.5G-sentiment-analysis-smsa](https://huggingface.co/ayameRushia/bert-base-indonesian-1.5G-sentiment-analysis-smsa) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2522
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- Accuracy: 0.8349
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- Precision: 0.8373
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- Recall: 0.8357
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- F1: 0.8333
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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: 8
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- eval_batch_size: 8
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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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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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| No log | 1.0 | 106 | 0.6551 | 0.7264 | 0.7745 | 0.7082 | 0.7121 |
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| No log | 2.0 | 212 | 0.9467 | 0.6934 | 0.7488 | 0.7142 | 0.6839 |
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| No log | 3.0 | 318 | 0.8995 | 0.8113 | 0.8139 | 0.8146 | 0.8111 |
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| No log | 4.0 | 424 | 1.1543 | 0.7972 | 0.8169 | 0.7986 | 0.7936 |
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| 0.3548 | 5.0 | 530 | 1.1540 | 0.8208 | 0.8223 | 0.8148 | 0.8169 |
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| 0.3548 | 6.0 | 636 | 1.3006 | 0.8255 | 0.8431 | 0.8261 | 0.8225 |
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| 0.3548 | 7.0 | 742 | 1.2421 | 0.8255 | 0.8328 | 0.8265 | 0.8240 |
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| 0.3548 | 8.0 | 848 | 1.2522 | 0.8349 | 0.8373 | 0.8357 | 0.8333 |
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| 0.3548 | 9.0 | 954 | 1.2637 | 0.8302 | 0.8330 | 0.8308 | 0.8285 |
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| 0.0125 | 10.0 | 1060 | 1.2667 | 0.8302 | 0.8330 | 0.8308 | 0.8285 |
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### Framework versions
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- Transformers 4.42.3
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- Pytorch 2.1.2
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- Datasets 2.20.0
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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": "ayameRushia/bert-base-indonesian-1.5G-sentiment-analysis-smsa",
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"architectures": [
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"BertForSequenceClassification"
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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": "Positive",
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"1": "Neutral",
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"2": "Negative"
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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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"Negative": 2,
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"Neutral": 1,
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"Positive": 0
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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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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.42.3",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 32000
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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 sha256:01f2ef59a179010c0bfdf30396038278ad863431801424626513fa7159b80e37
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size 442502140
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runs/Jul17_18-14-49_92dcd9e51f7a/events.out.tfevents.1721240091.92dcd9e51f7a.34.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:2ebcaa9ebe7d30c9e3cf1272afb7a5f3d74dacfd85c8e91de345397f48933486
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size 10672
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runs/Jul17_18-14-49_92dcd9e51f7a/events.out.tfevents.1721240637.92dcd9e51f7a.34.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:e370d7db45e552ba8f2bcf1e7877a49eeffdf1341033c94c4e73179f05781b2a
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size 560
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special_tokens_map.json
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{
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"cls_token": {
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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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},
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"mask_token": {
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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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},
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"pad_token": {
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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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},
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"sep_token": {
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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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},
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"unk_token": {
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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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}
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}
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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": "[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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"1": {
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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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"2": {
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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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"3": {
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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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"4": {
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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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| 46 |
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"do_basic_tokenize": true,
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"do_lower_case": true,
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"full_tokenizer_file": null,
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"mask_token": "[MASK]",
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"max_length": 512,
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"model_max_length": 1000000000000000019884624838656,
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| 52 |
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"never_split": null,
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| 53 |
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"pad_token": "[PAD]",
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| 54 |
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"sep_token": "[SEP]",
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| 55 |
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"strip_accents": null,
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| 56 |
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"tokenize_chinese_chars": true,
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| 57 |
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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 sha256:503fd33b5dc7fabe824027458b444f1e897081ec097d7544cca3de67f00d51d8
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size 5176
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vocab.txt
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The diff for this file is too large to render.
See raw diff
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