DioBot2000
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Commit
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Parent(s):
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End of training
Browse files- README.md +71 -0
- config.json +49 -0
- model.safetensors +3 -0
- runs/Jun03_14-05-01_482b1c6b6b65/events.out.tfevents.1717423512.482b1c6b6b65.3367.0 +3 -0
- runs/Jun03_14-05-01_482b1c6b6b65/events.out.tfevents.1717424923.482b1c6b6b65.3367.1 +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: bert-base-multilingual-cased
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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: Full-5epoch-BERT-base-multilingual-finetuned-CEFR_ner-60000news
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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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# Full-5epoch-BERT-base-multilingual-finetuned-CEFR_ner-60000news
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This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0796
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- Accuracy: 0.3049
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- Precision: 0.5205
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- Recall: 0.8398
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- F1: 0.5141
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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: 2e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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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: 5
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- mixed_precision_training: Native AMP
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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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| 0.1525 | 1.0 | 1563 | 0.1193 | 0.3007 | 0.5007 | 0.8090 | 0.4870 |
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| 0.1005 | 2.0 | 3126 | 0.0918 | 0.3034 | 0.5125 | 0.8276 | 0.5027 |
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| 0.0794 | 3.0 | 4689 | 0.0838 | 0.3044 | 0.5160 | 0.8357 | 0.5092 |
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| 0.0694 | 4.0 | 6252 | 0.0802 | 0.3047 | 0.5184 | 0.8395 | 0.5120 |
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| 0.062 | 5.0 | 7815 | 0.0796 | 0.3049 | 0.5205 | 0.8398 | 0.5141 |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.2.1
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- Datasets 2.19.2
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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": "bert-base-multilingual-cased",
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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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"directionality": "bidi",
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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": "0",
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"1": "A1",
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"2": "A2",
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"3": "B1",
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"4": "B2",
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"5": "C1",
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"6": "C2"
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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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"0": 0,
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"A1": 1,
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"A2": 2,
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"B1": 3,
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"B2": 4,
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"C1": 5,
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"C2": 6
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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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"pooler_fc_size": 768,
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"pooler_num_attention_heads": 12,
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"pooler_num_fc_layers": 3,
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"pooler_size_per_head": 128,
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"pooler_type": "first_token_transform",
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.41.2",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 119547
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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 sha256:4d57d03243685c2c84ad65d911fae569af3555d209f0405063a09698ee63a736
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size 709096284
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runs/Jun03_14-05-01_482b1c6b6b65/events.out.tfevents.1717423512.482b1c6b6b65.3367.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:e7202d128ae08dfc3ba7aa58a939c501bcd1ec31464364d67ffc0e5ec7e70179
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size 11223
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runs/Jun03_14-05-01_482b1c6b6b65/events.out.tfevents.1717424923.482b1c6b6b65.3367.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:54976481c56b887f676239277c0c56911e7339239eda29368360c9f3dd986837
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size 560
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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": 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": "[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 sha256:45089641eaab7bf6c2882d8b5d96221d2a7c5e9b9daf03fbd9eed6c4a178a867
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size 5176
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vocab.txt
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