fsner-bert-base-uncased / tokenizer_config.json

saif

Update model by training for 25 epochs and two more datasets i.e. mit restaurant and mit movie trivia.

ba83523 about 4 years ago

322 Bytes

{"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "checkpoints/model4", "tokenizer_class": "BertTokenizer"}