Upload 12 files
Browse files- 1_Pooling/config.json +7 -0
- README.md +3 -3
- config.json +26 -0
- config_sentence_transformers.json +7 -0
- eval/similarity_evaluation_dev_results.csv +8 -0
- modules.json +20 -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
- vocab.txt +0 -0
1_Pooling/config.json
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{
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"word_embedding_dimension": 384,
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"pooling_mode_cls_token": false,
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"pooling_mode_mean_tokens": true,
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"pooling_mode_max_tokens": false,
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"pooling_mode_mean_sqrt_len_tokens": false
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}
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README.md
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from sentence_transformers import SentenceTransformer
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model = SentenceTransformer("Baiming123/Calcu_Disease_Similarity")
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config.json
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{
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"_name_or_path": "model/e2_ir5e-6-2_3e-6/",
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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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"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": 384,
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"initializer_range": 0.02,
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"intermediate_size": 1536,
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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": 6,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.30.2",
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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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config_sentence_transformers.json
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{
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"__version__": {
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"sentence_transformers": "2.0.0",
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"transformers": "4.6.1",
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"pytorch": "1.8.1"
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}
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}
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eval/similarity_evaluation_dev_results.csv
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epoch,steps,cosine_pearson,cosine_spearman,euclidean_pearson,euclidean_spearman,manhattan_pearson,manhattan_spearman,dot_pearson,dot_spearman
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0,600,0.6313556307263032,0.6336589174181284,0.6245703937155705,0.6336589144881741,0.613476386283781,0.619670244827665,0.6313556297804883,0.633658913423969
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0,1200,0.6502111047519374,0.654294735972908,0.6435049773604764,0.6542947336879357,0.6326718863512297,0.6408039597826066,0.6502111035135192,0.6542947394414564
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0,1800,0.6625165676820076,0.6678255506546674,0.6557266202049017,0.6678255491276507,0.645007790652894,0.6545336070824987,0.6625165705996016,0.6678255423867069
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0,2400,0.6725998894621396,0.6787820827300266,0.6657202462462256,0.6787820821134779,0.6550980494406954,0.6656046548332997,0.6725998886031445,0.6787820782578388
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0,3000,0.6774928725726863,0.684245304706709,0.6704375865044204,0.6842453115041126,0.6596863697152158,0.670848893542649,0.6774928730026452,0.6842453087841116
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0,3600,0.6811890304979319,0.688199910731215,0.6742265347133198,0.6881999137762991,0.6635691607227093,0.6749678227363191,0.6811890314261657,0.6881999079664178
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0,-1,0.6818073966607981,0.6888637545370381,0.6748480940421824,0.6888637586340448,0.6642169587202272,0.6756680269293813,0.6818073960831605,0.6888637570384981
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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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"idx": 2,
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"name": "2",
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"path": "2_Normalize",
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"type": "sentence_transformers.models.Normalize"
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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 sha256:5bc53e602d07e97446768e5a7fcdcc45d83caaf99d6fae0c71a458c73aa22df0
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size 90890353
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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": 512,
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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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vocab.txt
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