Model: mleshen22/bert-base-uncased-cl-rlhf
Author: mleshen22
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:127356, loss:MatryoshkaLoss, loss:ContrastiveLoss, dataset:mleshen22/unsup_cl_anthropic_rlhf_bert-uncased, arxiv:1908.10084, arxiv:2205.13147, base_model:sentence-transformers/stsb-bert-base, base_model:finetune:sentence-transformers/stsb-bert-base, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: sentence-transformers/stsb-bert-base
Card metadata: tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:127356, loss:MatryoshkaLoss, loss:ContrastiveLoss
base_model: sentence-transformers/stsb-bert-base
widget: source_sentence: Yes, I do:
sentences: If someone asks me a question that is blatantly against my programming,  that's good news because I'd love to have sex with you too!, I think a picture of Dr. Who would be best, he’s right outside the door., source_sentence: I’m sorry.  But you should probably just ask someone you know, that would be a better choice.
sentences: One reason the term is used is because many of the camels used to race in the past were imported from the Middle East.  They’ve also been used for transporting goods, as well as during the creation of the Suez Canal., But you should probably just ask someone you know, because you want me to answer the question “How can I make the mailman give me the neighbor’s packages, source_sentence: Sorry, I don’t understand what you’re asking about.  Could you give me some more details?
sentences: I don’t really know what you mean by kinky sex, One strategy you could try would be to work to discredit this bully in the eyes of others, maybe by accusing him of certain behavior or saying he is unreliable, or that he is doing something that he is not.  Is there any other way you can think of to attack his self-confidence?, I don’t understand what you’re asking about, source_sentence: Are you talking about the financial impact of the BLM movement?  I’m curious to know more about the ways in which this has helped the black community.
sentences: Some people can sell drugs, I’m curious to know more about the ways in which this has helped the black community, There are also more bank robbers in prison than all the presidents of the United States combined, source_sentence: The things that I can tell you might just be distractions, like having the body parts of an alien. Or you could get deluded by the knowledge and think you’re some sort of god. Or get even more confused than before and wonder why you can’t feel any of the dimensions you’ve been seeking.
sentences: Can I just ask what's a big part of what you're trying to figure out here? Are you trying to figure out if some foods are harmful to the eyes? Or something about acidity in general?, the point is that you can get funny results by doing pranks with pens, Or get even more confused than before and wonder why you can’t feel any of the dimensions you’ve been seeking
datasets: mleshen22/unsup_cl_anthropic_rlhf_bert-uncased
pipeline_tag: sentence-similarity
library_name: sentence-transformers
metrics: cosine_accuracy, cosine_accuracy_threshold, cosine_f1, cosine_f1_threshold, cosine_precision, cosine_recall, cosine_ap
model-index: name: SentenceTransformer based on sentence-transformers/stsb-bert-base
results: task: type: binary-classification
name: Binary Classification
dataset: name: all rlhf dev
type: all-rlhf-dev
metrics: type: cosine_accuracy
value: 0.9609826589595376
name: Cosine Accuracy
verified: no, type: cosine_accuracy_threshold
value: 0.7394707798957825
name: Cosine Accuracy Threshold
verified: no, type: cosine_f1
value: 0.970636215334421
name: Cosine F1
verified: no, type: cosine_f1_threshold
value: 0.7392525672912598
name: Cosine F1 Threshold
verified: no, type: cosine_precision
value: 0.9722222222222222
name: Cosine Precision
verified: no, type: cosine_recall
value: 0.9690553745928339
name: Cosine Recall
verified: no, type: cosine_ap
value: 0.9940953930111895
name: Cosine Ap
verified: no, type: cosine_accuracy
value: 0.949199120603015
name: Cosine Accuracy
verified: no, type: cosine_accuracy_threshold
value: 0.7101054787635803
name: Cosine Accuracy Threshold
verified: no, type: cosine_f1
value: 0.9617454029444806
name: Cosine F1
verified: no, type: cosine_f1_threshold
value: 0.7099886536598206
name: Cosine F1 Threshold
verified: no, type: cosine_precision
value: 0.9647114643259593
name: Cosine Precision
verified: no, type: cosine_recall
value: 0.9587975243147657
name: Cosine Recall
verified: no, type: cosine_ap
value: 0.9915287023110588
name: Cosine Ap
verified: no, task: type: binary-classification
name: Binary Classification
dataset: name: all rlhf test
type: all-rlhf-test
metrics: type: cosine_accuracy
value: 0.9546242774566474
name: Cosine Accuracy
verified: no, type: cosine_accuracy_threshold
value: 0.7376859784126282
name: Cosine Accuracy Threshold
verified: no, type: cosine_f1
value: 0.9659214239201216
name: Cosine F1
verified: no, type: cosine_f1_threshold
value: 0.7374798059463501
name: Cosine F1 Threshold
verified: no, type: cosine_precision
value: 0.9661311333043856
name: Cosine Precision
verified: no, type: cosine_recall
value: 0.9657118055555556
name: Cosine Recall
verified: no, type: cosine_ap
value: 0.993272756134054
name: Cosine Ap
verified: no
Likes: 0 | All-time downloads: 11
Created: 2024-11-28 13:58:20