初始化项目，由ModelHub XC社区提供模型
Model: TingChenChang/hpvqa-lcqmc-ocnli-cnsd-multi-MiniLM-v2 Source: Original Platform
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ModelHub XC
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1_Pooling/config.json
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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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README.md
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---
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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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- transformers
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---
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# {MODEL_NAME}
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This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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<!--- Describe your model here -->
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## Usage (Sentence-Transformers)
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Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed:
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```
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pip install -U sentence-transformers
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```
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Then you can use the model like this:
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```python
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from sentence_transformers import SentenceTransformer
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sentences = ["This is an example sentence", "Each sentence is converted"]
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model = SentenceTransformer('{MODEL_NAME}')
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embeddings = model.encode(sentences)
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print(embeddings)
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```
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## Usage (HuggingFace Transformers)
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Without [sentence-transformers](https://www.SBERT.net), you can use the model like this: First, you pass your input through the transformer model, then you have to apply the right pooling-operation on-top of the contextualized word embeddings.
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```python
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from transformers import AutoTokenizer, AutoModel
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import torch
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#Mean Pooling - Take attention mask into account for correct averaging
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def mean_pooling(model_output, attention_mask):
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token_embeddings = model_output[0] #First element of model_output contains all token embeddings
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input_mask_expanded = attention_mask.unsqueeze(-1).expand(token_embeddings.size()).float()
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return torch.sum(token_embeddings * input_mask_expanded, 1) / torch.clamp(input_mask_expanded.sum(1), min=1e-9)
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# Sentences we want sentence embeddings for
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sentences = ['This is an example sentence', 'Each sentence is converted']
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# Load model from HuggingFace Hub
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tokenizer = AutoTokenizer.from_pretrained('{MODEL_NAME}')
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model = AutoModel.from_pretrained('{MODEL_NAME}')
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# Tokenize sentences
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encoded_input = tokenizer(sentences, padding=True, truncation=True, return_tensors='pt')
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# Compute token embeddings
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with torch.no_grad():
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model_output = model(**encoded_input)
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# Perform pooling. In this case, mean pooling.
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sentence_embeddings = mean_pooling(model_output, encoded_input['attention_mask'])
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print("Sentence embeddings:")
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print(sentence_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 12 with parameters:
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```
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{'batch_size': 64, '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": 10,
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"evaluation_steps": 1,
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"evaluator": "sentence_transformers.evaluation.EmbeddingSimilarityEvaluator.EmbeddingSimilarityEvaluator",
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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": 1e-06
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},
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"scheduler": "WarmupLinear",
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"steps_per_epoch": null,
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"warmup_steps": 12,
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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: BertModel
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(1): Pooling({'word_embedding_dimension': 384, '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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)
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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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26
config.json
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config.json
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{
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"_name_or_path": "models/lcqmc-ocnli-cnsd-multi-MiniLM-v2/",
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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": 12,
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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": "4.21.1",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 250037
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}
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7
config_sentence_transformers.json
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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": "4.7.0",
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"pytorch": "1.9.0+cu102"
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}
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}
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138
eval/similarity_evaluation_sts-dev_results.csv
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138
eval/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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0,1,0.8432072860356189,0.8483129298014214,0.810514497094325,0.8199485196441711,0.8090981923686018,0.8181567739736365,0.7554612720996471,0.771767485492661
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||||
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||||
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||||
0,6,0.843214897210775,0.848313962187335,0.8105346085122259,0.8199430137212901,0.8091197766301678,0.8181940520965647,0.7555025224831459,0.7717792438241957
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||||
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||||
0,1,0.8432072860356189,0.8483129298014214,0.810514497094325,0.8199485196441711,0.8090981923686018,0.8181567739736365,0.7554612720996471,0.771767485492661
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||||
0,2,0.8432077827619059,0.8483116138798551,0.8105147671352366,0.8199374722329525,0.8090986289993158,0.8181680695624393,0.7554638033561487,0.7717533699624165
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||||
0,3,0.84320866478235,0.8483148396351895,0.8105154631337338,0.8199270021608359,0.8090995821805663,0.8181686761508786,0.7554682464644976,0.7717524319359131
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||||
0,4,0.8432113574715784,0.8483143721779132,0.8105179910264942,0.8199140575207395,0.8091025540468352,0.8181793240502248,0.755475022874866,0.771754745424833
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||||
0,5,0.8432155961048904,0.8483183780636226,0.8105242518677229,0.8199348502692425,0.8091094091163068,0.818184053070632,0.7554863111495861,0.7717754146112039
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||||
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||||
0,7,0.8432231317711812,0.8483487453620034,0.8105382314292779,0.8199563936496083,0.8091255229288437,0.8181859941552521,0.7555133722682581,0.7717687349820048
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||||
0,8,0.8432272709499501,0.8483567551576309,0.8105439494680984,0.8199603340934515,0.8091325582177508,0.8181743255211795,0.7555273984628638,0.7717417230259357
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||||
0,9,0.8432315524715481,0.8483608186768051,0.8105487306882934,0.8199734723676876,0.8091386230091153,0.818166899854439,0.7555448839092845,0.7717749406705006
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||||
0,10,0.8432374214679168,0.8483682510342125,0.8105557854690049,0.8199669500600716,0.8091472296689926,0.8181626126343358,0.7555634080440072,0.771795582941852
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||||
0,11,0.8432433681247914,0.8483878187792155,0.8105624827454156,0.8199369083197411,0.8091554050450501,0.8181733624943406,0.755587739093245,0.7718021440195391
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||||
0,12,0.8432499187000522,0.8484315871690039,0.8105709046466675,0.819968130035859,0.80916546034874,0.8181883288275825,0.7556142212462758,0.771810858300814
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||||
0,-1,0.8432499187000522,0.8484315871690039,0.8105709046466675,0.819968130035859,0.80916546034874,0.8181883288275825,0.7556142212462758,0.771810858300814
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||||
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|
||||
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||||
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|
||||
1,4,0.8432796440098614,0.8484087569486441,0.8106175848931387,0.8199886291752371,0.809217440334281,0.818238880365328,0.7557375156548496,0.7718890323793515
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||||
1,5,0.8432862756909237,0.8484422686584653,0.8106277536301404,0.8199898858209941,0.8092285942158463,0.8182335917851737,0.7557654935719772,0.7719393547870103
|
||||
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||||
1,7,0.8432962665366778,0.8484460504510715,0.8106453141053829,0.8199886995124283,0.8092477610101529,0.8182152344793607,0.7558192525190762,0.7719652960687524
|
||||
1,8,0.8433000338948355,0.8484423141032039,0.8106541222614909,0.8199891747063031,0.8092574641909737,0.8182264324592453,0.755847604470429,0.7719941104888041
|
||||
1,9,0.843303041087887,0.8484345822366554,0.8106618346155504,0.8199899688070347,0.809266546382559,0.8182388724618957,0.7558745777172003,0.772026918383922
|
||||
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|
||||
1,11,0.843308947653302,0.8484633700028422,0.8106756997889657,0.8199747282197574,0.8092837446682327,0.8182704249400288,0.7559257425398469,0.7720691570498184
|
||||
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|
||||
1,-1,0.8433130745348548,0.8484801735222881,0.8106830838368229,0.8199683995462423,0.8092928509723961,0.818299264564979,0.7559490858996993,0.7721080760079768
|
||||
2,1,0.8433161187505642,0.8484805387227563,0.8106892309745884,0.8199765641971469,0.8093006782836086,0.8183106522273341,0.7559722163553818,0.7721175430914834
|
||||
2,2,0.8433197882965829,0.8484877082909135,0.8106964419685058,0.8199931226818324,0.8093092682682557,0.818303690887493,0.7559940960403696,0.7721244573663423
|
||||
2,3,0.8433234149792307,0.8484845026276173,0.8107023552552755,0.8199872144608314,0.8093166799587302,0.8183174238847705,0.7560140016523871,0.7721626815697514
|
||||
2,4,0.8433271317426841,0.8484972666716277,0.8107081425412378,0.8199926085534673,0.8093239121853962,0.8183245219591787,0.756030844907961,0.7721937176013302
|
||||
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|
||||
2,6,0.8433333166002767,0.848526455691693,0.8107187392273747,0.8199900043724805,0.8093374520778474,0.8183552592000325,0.7560654876554805,0.7722032696468178
|
||||
2,7,0.8433358951028855,0.8485295925332036,0.8107224089695524,0.81996156702891,0.8093427272514979,0.8183513786147039,0.7560829152758796,0.772211908098426
|
||||
2,8,0.8433388479377553,0.8485182242663911,0.8107264860692583,0.8199671962486554,0.809348215205541,0.8183541795893857,0.756100058567056,0.772222296412844
|
||||
2,9,0.843341357251173,0.8485407699630854,0.8107309796595898,0.8199774485878913,0.8093543011142047,0.8183575286688796,0.7561167780365496,0.7722172243851092
|
||||
2,10,0.8433424403734125,0.8485421889624589,0.8107348571225015,0.819989489855671,0.8093595334465662,0.8183266151850073,0.7561295113031306,0.7722354749054493
|
||||
2,11,0.8433432182946937,0.8485509061156915,0.8107382260675362,0.8199690049525046,0.8093640862777354,0.8183137566921248,0.7561436350393723,0.772245473228321
|
||||
2,12,0.843343609245437,0.8485731127860897,0.8107398207572836,0.8199778737858628,0.8093663998660099,0.8183171757187316,0.75615737435298,0.7722332335348866
|
||||
2,-1,0.843343609245437,0.8485731127860897,0.8107398207572836,0.8199778737858628,0.8093663998660099,0.8183171757187316,0.75615737435298,0.7722332335348866
|
||||
3,1,0.8433440219422095,0.8485729021906301,0.8107410245169122,0.8199628778165103,0.8093682886075122,0.8183185572352393,0.7561671653437656,0.7722195032969579
|
||||
3,2,0.8433461129980104,0.8485828501484397,0.8107440527910442,0.8199573679419163,0.8093721334444982,0.8183009796098171,0.7561799409283984,0.772216525678803
|
||||
3,3,0.8433472545621704,0.8486043461647104,0.8107460791667759,0.8199633690115032,0.8093747146968573,0.8182871659940305,0.7561898690075483,0.7722241248290511
|
||||
3,4,0.8433480321520876,0.8486296677755731,0.8107479207009368,0.8199633136874762,0.8093770408073828,0.818310025880313,0.756202702596112,0.7722520022109676
|
||||
3,5,0.8433486266373686,0.8486457153629572,0.8107499164680065,0.8199659396028999,0.8093795648218014,0.818301212761074,0.756217376997431,0.7722592444784012
|
||||
3,6,0.8433479357353791,0.8486441694203981,0.8107501082402089,0.8199686228182084,0.8093801987254158,0.8182853928572519,0.7562319147730002,0.7722414289133909
|
||||
3,7,0.8433466344335745,0.8486399585335619,0.8107498941264031,0.8199841795427771,0.8093805865300923,0.818287707770903,0.7562492824519224,0.7722334118691393
|
||||
3,8,0.8433455885241172,0.8486367452996735,0.8107494027978955,0.8199732107607316,0.8093808189062675,0.8182779964283001,0.7562653687796879,0.7722122064529989
|
||||
3,9,0.8433440163744172,0.8486359549563904,0.8107480321186681,0.8200050872795636,0.8093799501774022,0.8182696448678607,0.7562831049050668,0.7722119839284894
|
||||
3,10,0.8433428692619352,0.8486457278840666,0.8107471724762141,0.820007623099233,0.8093796464190306,0.8182702510645152,0.7562982800743289,0.7722361953461768
|
||||
3,11,0.8433419592797875,0.8486474493450262,0.8107454509170502,0.8199910124485681,0.8093783056359848,0.8182569642107607,0.7563143734384171,0.7722574686628274
|
||||
3,12,0.8433416912616799,0.8486502344836586,0.8107463169706803,0.8199911385150347,0.8093795985865857,0.8182671825568728,0.7563308338335635,0.7722944705574085
|
||||
3,-1,0.8433416912616799,0.8486502344836586,0.8107463169706803,0.8199911385150347,0.8093795985865857,0.8182671825568728,0.7563308338335635,0.7722944705574085
|
||||
4,1,0.8433416261053898,0.8486646898623071,0.810747701095918,0.820002350716086,0.8093814818739413,0.8182763039099444,0.7563472140188606,0.7722965249690463
|
||||
4,2,0.8433414973461539,0.8486692913031388,0.8107486658911275,0.8199835069573246,0.8093830522969127,0.8182653019317467,0.7563636210941408,0.7722616602053548
|
||||
4,3,0.8433421960497822,0.8486775377138446,0.8107502138072062,0.819980556612699,0.8093853497672929,0.8182589590354258,0.7563809218964681,0.7722726835176881
|
||||
4,4,0.8433426470965988,0.8486921653250615,0.8107514428308005,0.8199745582959603,0.8093872986376887,0.8182647731938067,0.7563999296336503,0.7722891992347389
|
||||
4,5,0.8433421975412311,0.8487022430234057,0.8107526664600824,0.819975723663761,0.8093892594741652,0.8182898626400431,0.7564149370704818,0.7723141619592025
|
||||
4,6,0.8433417826597648,0.8487232831159468,0.8107539658050174,0.8199356773601407,0.8093914238623005,0.818287710930565,0.7564298671568236,0.77231831547974
|
||||
4,7,0.8433413636496764,0.8487170267273588,0.8107557985819641,0.8199295640551594,0.8093940328327585,0.818303894000527,0.7564459578389559,0.7723215220306135
|
||||
4,8,0.8433405374772708,0.8487190898455771,0.8107583607230961,0.8199108692793808,0.8093973078860284,0.8183029534920674,0.7564626351038439,0.7723465154072675
|
||||
4,9,0.8433400496981062,0.8487119041485389,0.8107599497897178,0.8199103112937696,0.8093993932282856,0.8183007353954784,0.7564783397759824,0.7723676314027699
|
||||
4,10,0.8433395905159969,0.8487228334417898,0.8107614718349309,0.8199179440336349,0.8094013517233412,0.8183153761036911,0.7564950956090332,0.7723621029518092
|
||||
4,11,0.8433387592258834,0.848732627770926,0.810761591384603,0.8199162187209107,0.8094019126189514,0.8183171362015695,0.7565085060141483,0.7723778102760789
|
||||
4,12,0.8433390748029904,0.8487264089236287,0.8107633732371207,0.8199289752494435,0.8094040778999778,0.8183465567288036,0.7565225408705314,0.7724257599198422
|
||||
4,-1,0.8433390748029904,0.8487264089236287,0.8107633732371207,0.8199289752494435,0.8094040778999778,0.8183465567288036,0.7565225408705314,0.7724257599198422
|
||||
5,1,0.8433394663838156,0.8487293205171043,0.8107661053075184,0.8199217364989771,0.8094073592734872,0.818346143774459,0.7565358705518318,0.7724480152378049
|
||||
5,2,0.8433406419054679,0.8487378163745798,0.8107688298051617,0.8199384937515944,0.809410475535622,0.8183442437910676,0.7565513525046688,0.7724624271467778
|
||||
5,3,0.843340766922638,0.8487401645156613,0.8107699145819847,0.8199459150746495,0.809411868909447,0.8183375132262415,0.756567554699378,0.7724741313824459
|
||||
5,4,0.8433399514675386,0.8487390899815944,0.8107702474450289,0.8199453096684098,0.8094124463046285,0.8183352540283234,0.7565818787677792,0.7724599968413163
|
||||
5,5,0.8433391279877065,0.8487400194564816,0.8107703729915176,0.8199553075104288,0.8094127708965789,0.8183474213625431,0.7565944179018024,0.7724655094854119
|
||||
5,6,0.8433379487580872,0.8487377788332738,0.8107695307804288,0.8199484738109001,0.8094121588090329,0.8183516007029285,0.7566047351496531,0.772462373798609
|
||||
5,7,0.8433364512121515,0.8487543729120477,0.8107677598501062,0.8199397618639485,0.8094107261076854,0.8183523795826491,0.7566147127758113,0.7724712086078757
|
||||
5,8,0.8433350790585112,0.8487507898595725,0.8107669309544245,0.8199251409024979,0.8094102612499183,0.8183590745820435,0.7566254055689863,0.7724887566840793
|
||||
5,9,0.8433332853690682,0.8487595200226843,0.810765791931353,0.819921716740396,0.8094094898662216,0.8183796946372827,0.756636811960625,0.7724783537911991
|
||||
5,10,0.8433319180824468,0.8487820747768646,0.8107653826430437,0.8199050286428123,0.8094094987575459,0.8183641035325363,0.7566472611522161,0.7724907300859111
|
||||
5,11,0.8433312294166883,0.8487776773380651,0.8107664369857593,0.819907086304725,0.8094108311923836,0.8183598799400285,0.7566572638599539,0.7724922522443756
|
||||
5,12,0.8433301932815921,0.8487751747472801,0.8107673626553757,0.8198813835488292,0.809411972965484,0.8183649215377922,0.7566655833326684,0.7724955306733658
|
||||
5,-1,0.8433301932815921,0.8487751747472801,0.8107673626553757,0.8198813835488292,0.809411972965484,0.8183649215377922,0.7566655833326684,0.7724955306733658
|
||||
6,1,0.8433297117227548,0.8487793062667967,0.8107687249061162,0.8198778499209382,0.8094136191329199,0.8183576618434946,0.7566744098144811,0.7725244335256356
|
||||
6,2,0.8433294158216137,0.8487647749839679,0.8107692584552585,0.8198628867474976,0.8094144013849698,0.8183494489934442,0.7566818778599974,0.772508870919506
|
||||
6,3,0.8433287285506105,0.8487758536209392,0.8107689547440383,0.8198722195189225,0.8094144103385486,0.8183549778360617,0.7566891536169166,0.7725188749564508
|
||||
6,4,0.8433284548488116,0.8487939335451237,0.8107692086742002,0.8198660690613252,0.8094148834765695,0.8183502982119463,0.7566991095782684,0.772540729655461
|
||||
6,5,0.8433280232909085,0.8487843004147778,0.8107691441421103,0.8198605864599569,0.8094151252161579,0.8183424461518309,0.7567076187393146,0.7725390541277947
|
||||
6,6,0.8433273655615623,0.8487860589285828,0.8107693697136176,0.8198636028017118,0.8094156575310436,0.8183317804697721,0.7567156623695023,0.7725611955936288
|
||||
6,7,0.8433259594011602,0.8487985198447128,0.8107680142214156,0.8198661054203531,0.8094147309241353,0.8183211143960283,0.7567220905631734,0.7725734367823449
|
||||
6,8,0.8433242844123886,0.8488084631848016,0.8107672322768259,0.8198619825980629,0.8094144125563237,0.8183205275661695,0.7567275406116523,0.7725782736829709
|
||||
6,9,0.8433227180175248,0.8488098285028234,0.8107668017374445,0.8198574728962859,0.809414447220457,0.8183055632089136,0.7567353831966914,0.7725981416839841
|
||||
6,10,0.8433218685798245,0.8488086023164729,0.810766655429957,0.8198706886175737,0.8094148266624452,0.8183089980423874,0.7567422167063425,0.7726011259775486
|
||||
6,11,0.8433213698634201,0.84881031884832,0.8107679210582724,0.8198607828634866,0.8094165780525616,0.8183087289253183,0.7567494140646621,0.7726135960982038
|
||||
6,12,0.8433208330959697,0.8488195130055072,0.8107690772492203,0.8198641607872784,0.8094182139068755,0.8183137041360351,0.7567566612055078,0.7726075768865963
|
||||
6,-1,0.8433208330959697,0.8488195130055072,0.8107690772492203,0.8198641607872784,0.8094182139068755,0.8183137041360351,0.7567566612055078,0.7726075768865963
|
||||
7,1,0.8433196279945695,0.8488183288111564,0.8107694657209487,0.819866087248936,0.8094190149001433,0.8183075868793316,0.7567626585576283,0.7726029074537232
|
||||
7,2,0.8433182530436658,0.8487967048526067,0.8107697817819631,0.8198606180736865,0.8094197656628991,0.8183200663991442,0.7567690979979139,0.7726079068548983
|
||||
7,3,0.8433170094535639,0.8487997302242047,0.8107694128370396,0.8198661105543452,0.8094197440994351,0.8183143952946751,0.756775263873983,0.7726160199959263
|
||||
7,4,0.8433158528043625,0.8488036358305254,0.8107688166808167,0.8198555661932131,0.8094195036585234,0.8183091675658183,0.7567808094787478,0.7726315435651775
|
||||
7,5,0.8433153364986087,0.8488003178756801,0.8107690535815124,0.8198662648818191,0.8094201347899246,0.8183264693631819,0.756787352611041,0.7726477503011971
|
||||
7,6,0.8433149243963135,0.8488003443834256,0.8107690809594169,0.8198651747911849,0.8094205731851309,0.8183303321657802,0.7567945204231463,0.7726468288034447
|
||||
7,7,0.8433143546952595,0.8488160358277084,0.8107689021479915,0.8198700302681384,0.8094208012711832,0.8183298022441393,0.7568007995170896,0.7726735468367364
|
||||
7,8,0.8433141263862624,0.8488209692130079,0.8107688192828193,0.8198836743619757,0.8094211545148673,0.8183394408716511,0.7568071564694898,0.7726997968594819
|
||||
7,9,0.8433136428809849,0.8488352795323987,0.8107683021248785,0.8198767758477205,0.8094209715221078,0.8183456703606232,0.7568135084821858,0.7726812803453277
|
||||
7,10,0.8433135119456038,0.8488442273725908,0.8107682651350124,0.8198885033591975,0.8094212982325467,0.8183434388247084,0.7568200165279685,0.7726828867179605
|
||||
7,11,0.84331354374894,0.8488430229207151,0.8107683002754347,0.8198888530860831,0.8094216391262359,0.8183403082733598,0.7568270952162454,0.7726828788145281
|
||||
7,12,0.8433137785318175,0.8488444407652769,0.8107680750977398,0.8199010006617453,0.8094216781323905,0.8183370232134305,0.7568338662876587,0.7726927284671413
|
||||
7,-1,0.8433137785318175,0.8488444407652769,0.8107680750977398,0.8199010006617453,0.8094216781323905,0.8183370232134305,0.7568338662876587,0.7726927284671413
|
||||
8,1,0.8433138512581309,0.8488437082109165,0.810767773422519,0.8199055585614032,0.8094216249839035,0.818339470117873,0.7568399515500663,0.772698058852281
|
||||
8,2,0.8433138296389973,0.8488376694992052,0.8107677778606132,0.8199072882308668,0.8094219299262424,0.8183403695249611,0.7568459582799567,0.7727030510977706
|
||||
8,3,0.8433135119971814,0.8488389157668241,0.8107675974837381,0.8199107936138615,0.80942209427738,0.8183348426581787,0.7568512630191824,0.7727009369296048
|
||||
8,4,0.8433127122247488,0.8488402784536644,0.8107668540786593,0.8199045785357832,0.809421610070598,0.8183289451133894,0.756856031799481,0.7727018359450398
|
||||
8,5,0.8433120769147912,0.8488393170323437,0.8107668959036969,0.819905080403742,0.80942189738395,0.8183213518906861,0.7568606673764935,0.772703688552005
|
||||
8,6,0.8433114661653268,0.8488465676103399,0.8107663948134959,0.8198989734313241,0.8094216068011598,0.8183112291779022,0.7568647315740452,0.7727046831565603
|
||||
8,7,0.8433108973198878,0.8488472899528099,0.8107658944756136,0.8198983731590902,0.8094212744225078,0.8182988547702855,0.7568684130161073,0.772706836841888
|
||||
8,8,0.8433104226055367,0.848843497126685,0.8107653462864229,0.8198954054202141,0.8094208492797291,0.8183002548616166,0.7568729154312832,0.7727062591433891
|
||||
8,9,0.8433099518449413,0.8488440215507411,0.8107649768809443,0.8198951623896671,0.8094206138333173,0.818296488092604,0.7568774741382647,0.7727121546239718
|
||||
8,10,0.8433095613793622,0.8488360295368942,0.8107645187488837,0.8198791804670383,0.8094202825384903,0.8182962790433772,0.7568814715833128,0.7727112047162056
|
||||
8,11,0.843309217630132,0.8488317249634826,0.8107640252667574,0.8198778111973694,0.8094198922794,0.8182964284165308,0.75688494714161,0.7727362336586826
|
||||
8,12,0.8433087284455971,0.8488270975035599,0.8107633594943205,0.819877222391653,0.8094193139021578,0.8182932856183431,0.7568879489973747,0.772737514762695
|
||||
8,-1,0.8433087284455971,0.8488270975035599,0.8107633594943205,0.819877222391653,0.8094193139021578,0.8182932856183431,0.7568879489973747,0.772737514762695
|
||||
9,1,0.8433082640447519,0.8488273583168433,0.8107629215626657,0.8198766758725491,0.8094189912864624,0.818289455613273,0.7568907112567316,0.7727434467686314
|
||||
9,2,0.843307978823482,0.8488275353224671,0.8107625911423402,0.819870582326137,0.809418771798016,0.8182894133281969,0.7568932753166911,0.7727536607271143
|
||||
9,3,0.8433078152075444,0.8488234895864724,0.8107624460384787,0.8198689968943477,0.8094187115937266,0.8182928837270879,0.756895898237832,0.7727554493867281
|
||||
9,4,0.8433075794847839,0.8488281735246673,0.81076208202873,0.8198629369375293,0.8094184200698817,0.8183041548137974,0.7568980337592576,0.7727663662426821
|
||||
9,5,0.8433073217865803,0.8488303438385953,0.8107616827073768,0.8198554239314295,0.8094181105675451,0.8182966094034136,0.7568997706897157,0.772772065845305
|
||||
9,6,0.8433070540774434,0.848826955241769,0.8107613785394076,0.8198514817057845,0.8094178864406518,0.818295235790296,0.7569011622459444,0.7727754025897778
|
||||
9,7,0.8433068293369527,0.8488270018407513,0.8107610824861764,0.8198486621562611,0.8094176462916486,0.8182960439162623,0.7569022648625199,0.7727859415769797
|
||||
9,8,0.8433066490883908,0.8488258456310694,0.8107608879517141,0.8198490237382954,0.8094174934637136,0.8182998340038404,0.7569032235411899,0.7727873641665518
|
||||
9,9,0.8433065214180123,0.8488258448094561,0.8107608015350533,0.8198484499458785,0.8094174385213389,0.8183032708131537,0.7569040748069258,0.7727844841134561
|
||||
9,10,0.8433064728367431,0.8488264790599408,0.8107607987875418,0.8198496157021625,0.8094174593197684,0.818302124815452,0.7569047497198351,0.7727837641530991
|
||||
9,11,0.8433064338702576,0.8488264798815549,0.810760755808813,0.8198508419164804,0.8094174386448941,0.8183037149895088,0.7569051829116465,0.772782092097306
|
||||
9,12,0.8433064309258719,0.8488270331218536,0.8107607655955887,0.8198485104039149,0.8094174584566193,0.8183014079793035,0.7569054246788895,0.7727820715907175
|
||||
9,-1,0.8433064309258719,0.8488270331218536,0.8107607655955887,0.8198485104039149,0.8094174584566193,0.8183014079793035,0.7569054246788895,0.7727820715907175
|
||||
|
14
modules.json
Normal file
14
modules.json
Normal file
@@ -0,0 +1,14 @@
|
||||
[
|
||||
{
|
||||
"idx": 0,
|
||||
"name": "0",
|
||||
"path": "",
|
||||
"type": "sentence_transformers.models.Transformer"
|
||||
},
|
||||
{
|
||||
"idx": 1,
|
||||
"name": "1",
|
||||
"path": "1_Pooling",
|
||||
"type": "sentence_transformers.models.Pooling"
|
||||
}
|
||||
]
|
||||
3
pytorch_model.bin
Normal file
3
pytorch_model.bin
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:d447a3ef8be23dc7351ec459377a2e190d6075546da81e5e42fd1e5ff99209f4
|
||||
size 470684465
|
||||
4
sentence_bert_config.json
Normal file
4
sentence_bert_config.json
Normal file
@@ -0,0 +1,4 @@
|
||||
{
|
||||
"max_seq_length": 128,
|
||||
"do_lower_case": false
|
||||
}
|
||||
15
special_tokens_map.json
Normal file
15
special_tokens_map.json
Normal file
@@ -0,0 +1,15 @@
|
||||
{
|
||||
"bos_token": "<s>",
|
||||
"cls_token": "<s>",
|
||||
"eos_token": "</s>",
|
||||
"mask_token": {
|
||||
"content": "<mask>",
|
||||
"lstrip": true,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": "<pad>",
|
||||
"sep_token": "</s>",
|
||||
"unk_token": "<unk>"
|
||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:b60b6b43406a48bf3638526314f3d232d97058bc93472ff2de930d43686fa441
|
||||
size 17082913
|
||||
23
tokenizer_config.json
Normal file
23
tokenizer_config.json
Normal file
@@ -0,0 +1,23 @@
|
||||
{
|
||||
"bos_token": "<s>",
|
||||
"cls_token": "<s>",
|
||||
"do_lower_case": true,
|
||||
"eos_token": "</s>",
|
||||
"mask_token": {
|
||||
"__type": "AddedToken",
|
||||
"content": "<mask>",
|
||||
"lstrip": true,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"model_max_length": 512,
|
||||
"name_or_path": "models/lcqmc-ocnli-cnsd-multi-MiniLM-v2/",
|
||||
"pad_token": "<pad>",
|
||||
"sep_token": "</s>",
|
||||
"special_tokens_map_file": null,
|
||||
"strip_accents": null,
|
||||
"tokenize_chinese_chars": true,
|
||||
"tokenizer_class": "BertTokenizer",
|
||||
"unk_token": "<unk>"
|
||||
}
|
||||
3
unigram.json
Normal file
3
unigram.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:71b44701d7efd054205115acfa6ef126c5d2f84bd3affe0c59e48163674d19a6
|
||||
size 14763234
|
||||
Reference in New Issue
Block a user