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README.md
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pipeline_tag: sentence-similarity
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tags:
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- sentence-transformers
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- feature-extraction
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- sentence-similarity
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pip install -U sentence-transformers
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```
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embeddings = model.encode(sentences)
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print(embeddings)
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```
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## Evaluation Results
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<!--- Describe how your model was evaluated -->
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For an automated evaluation of this model, see the *Sentence Embeddings Benchmark*: [https://seb.sbert.net](https://seb.sbert.net?model_name={MODEL_NAME})
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## Training
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The model was trained with the parameters:
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**DataLoader**:
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`torch.utils.data.dataloader.DataLoader` of length 64769 with parameters:
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```
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{'batch_size': 80, 'sampler': 'torch.utils.data.sampler.RandomSampler', 'batch_sampler': 'torch.utils.data.sampler.BatchSampler'}
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```
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**Loss**:
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`sentence_transformers.losses.MultipleNegativesRankingLoss.MultipleNegativesRankingLoss` with parameters:
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```
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{'scale': 20.0, 'similarity_fct': 'cos_sim'}
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```
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Parameters of the fit()-Method:
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```
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{
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"epochs": 20,
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"evaluation_steps": 0,
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"evaluator": "NoneType",
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"max_grad_norm": 1,
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"optimizer_class": "<class 'torch.optim.adamw.AdamW'>",
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"optimizer_params": {
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"lr": 2e-05
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},
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"scheduler": "WarmupLinear",
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"steps_per_epoch": null,
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"warmup_steps": 129538,
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"weight_decay": 0.01
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}
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```
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## Full Model Architecture
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```
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SentenceTransformer(
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(0): Transformer({'max_seq_length': 128, 'do_lower_case': False}) with Transformer model: DistilBertModel
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(1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False})
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(2): Dense({'in_features': 768, 'out_features': 512, 'bias': True, 'activation_function': 'torch.nn.modules.activation.Tanh'})
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)
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```
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## Citing & Authors
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<!--- Describe where people can find more information -->
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## acgvoc2vec
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结构为[sentence-transformers](https://github.com/UKPLab/sentence-transformers),使用其**distiluse-base-multilingual-cased-v2**预训练权重,以5e-5的学习率在动漫相关语句对数据集下进行微调,损失函数为MultipleNegativesRankingLoss。
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数据集主要包括:
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* Bangumi
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* 动画日文名-动画中文名
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* 动画日文名-简介
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* 动画中文名-简介
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* 动画中文名-标签
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* 动画日文名-角色
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* 动画中文名-角色
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* 声优日文名-声优中文名
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* pixiv
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* 标签日文名-标签中文名
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* AnimeList
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* 动画日文名-动画英文名
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* 维基百科
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* 动画日文名-动画中文名
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* 动画日文名-动画英文名
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* 中英日详情页h2标题及其对应文本
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* 简介多语言对照(中日英)
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* 动画名-简介(中日英)
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* moegirl
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* 动画中文名的简介-简介
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* 动画中文名+小标题-对应内容
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在进行爬取,清洗,处理后得到510w对文本对(还在持续增加),batchzise=80训练了20个epoch,使st的权重能够适应该问题空间,生成融合了领域知识的文本特征向量(体现为有关的文本距离更加接近,例如作品与登场人物,或者来自同一作品的登场人物)。
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