Add model
Browse filesSigned-off-by: Tao Wang <[email protected]>
- 1_Pooling/config.json +4 -0
- config.json +32 -0
- eval_results.txt +2 -0
- modules.json +14 -0
- pytorch_model.bin +3 -0
- sentence_bert_config.json +4 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +15 -0
- training_progress_scores.csv +20 -0
- vocab.txt +0 -0
1_Pooling/config.json
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{
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"word_embedding_dimension": 768,
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"pooling_mode_mean_tokens": true
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}
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config.json
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{
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"_name_or_path": "shibing624/text2vec-base-chinese",
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"architectures": [
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"BertModel"
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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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"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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"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": "4.29.1",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 21128
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}
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eval_results.txt
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eval_pearson = 0.9521139554586924
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eval_spearman = 0.8516852932062846
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modules.json
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[
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{
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"idx": 0,
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"name": "0",
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"path": "",
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"type": "sentence_transformers.models.Transformer"
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},
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{
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"idx": 1,
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"name": "1",
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"path": "1_Pooling",
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"type": "sentence_transformers.models.Pooling"
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}
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]
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:a611477f2c8b4eed1b807299eca643ad9db52bd0c0b1ade32881502303bc9518
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size 409141805
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sentence_bert_config.json
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{
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"max_seq_length": 512,
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"do_lower_case": false
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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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tokenizer.json
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tokenizer_config.json
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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_basic_tokenize": true,
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"do_lower_case": true,
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"mask_token": "[MASK]",
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"model_max_length": 1000000000000000019884624838656,
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"never_split": null,
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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_progress_scores.csv
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global_step,train_loss,eval_spearman,eval_pearson
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2144,0.0,0.8479460350153861,0.948485133470978
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4288,0.0,0.8498950964077886,0.9465204947615107
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6432,0.0,0.849468294643029,0.9468169311979125
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8576,0.0,0.848567268695203,0.9472771180148725
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10720,0.0,0.8516852932062846,0.9521139554586924
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12864,0.0,0.8481712915023426,0.9352248634550469
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15008,0.0,0.8498927252868733,0.9520898128741913
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17152,0.0,0.8507155042444935,0.9543544491683162
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19296,0.0,0.8487877829403289,0.947800578361301
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21440,0.0,0.850419114130077,0.9521228966704754
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23584,0.0,0.849432727829299,0.947384125053125
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25728,0.0,0.8491339665939672,0.9484934936142233
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27872,0.0,0.851184986185729,0.9468601578695205
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30016,0.0,0.8471896474433954,0.9482947463945062
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32160,0.0,0.8505518969013355,0.9505983453497635
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34304,0.0,0.8507107620026627,0.9545982143319675
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36448,0.0,0.8508577720063408,0.9546999080180405
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38592,0.0,0.8500824149600997,0.951359698794045
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40736,0.0,0.8496390158551345,0.9508174759023411
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vocab.txt
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