Carga inicial
Browse files- 0_Transformer/config.json +23 -0
- 0_Transformer/pytorch_model.bin +3 -0
- 0_Transformer/sentence_bert_config.json +4 -0
- 0_Transformer/special_tokens_map.json +1 -0
- 0_Transformer/tokenizer.json +0 -0
- 0_Transformer/tokenizer_config.json +1 -0
- 0_Transformer/vocab.txt +0 -0
- 1_Pooling/config.json +7 -0
- config.json +3 -0
- modules.json +14 -0
- similarity_evaluation_sts-dev_results.csv +5 -0
- similarity_evaluation_stsb-multi-mt-test_results.csv +2 -0
0_Transformer/config.json
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{
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"_name_or_path": "distilbert-base-uncased",
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"activation": "gelu",
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"architectures": [
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"DistilBertModel"
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],
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"attention_dropout": 0.1,
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"dim": 768,
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"dropout": 0.1,
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"hidden_dim": 3072,
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"initializer_range": 0.02,
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"max_position_embeddings": 512,
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"model_type": "distilbert",
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"n_heads": 12,
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"n_layers": 6,
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"pad_token_id": 0,
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"qa_dropout": 0.1,
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"seq_classif_dropout": 0.2,
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"sinusoidal_pos_embds": false,
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"tie_weights_": true,
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"transformers_version": "4.6.1",
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"vocab_size": 30522
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}
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0_Transformer/pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:4247d2f9cba7380e84be9a69bb9bff9608d505966ec86f078a1ff4d0285ebaaf
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size 265490176
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0_Transformer/sentence_bert_config.json
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{
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"max_seq_length": null,
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"do_lower_case": false
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}
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0_Transformer/special_tokens_map.json
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{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
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0_Transformer/tokenizer.json
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0_Transformer/tokenizer_config.json
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{"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": "distilbert-base-uncased"}
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0_Transformer/vocab.txt
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1_Pooling/config.json
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{
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"word_embedding_dimension": 768,
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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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config.json
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{
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"__version__": "1.2.0"
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}
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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": "0_Transformer",
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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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similarity_evaluation_sts-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,-1,0.7674348102247248,0.7667286405457256,0.7502040339902296,0.7576824147761646,0.7492861452801035,0.7561106972845474,0.7285506159415656,0.7343265392689423
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1,-1,0.7782789678703184,0.7761241007579364,0.763784529139891,0.7691237269220588,0.7626542374963032,0.7680705009011701,0.7410908722043604,0.7446238826558748
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2,-1,0.7766684878569015,0.7754911419362798,0.7610854551118094,0.764845075190592,0.7603155185939217,0.7640645508417966,0.7416572024271656,0.7459471184421463
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3,-1,0.7784200404666838,0.7767716670405521,0.7601348642559405,0.7632601234978199,0.7594430674974024,0.7626042533614712,0.7442829550102651,0.7497069964750338
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similarity_evaluation_stsb-multi-mt-test_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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-1,-1,0.7450619922414319,0.7363506275013219,0.7336101237784383,0.7320799242026941,0.7332076483340091,0.7317512428692636,0.7022330212363639,0.6964875585742952
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