Model: jamiehudson/725_model_v5
Author: jamiehudson
Pipeline: text-classification
Library: setfit
Tags: setfit, safetensors, mpnet, sentence-transformers, text-classification, generated_from_setfit_trainer, arxiv:2209.11055, base_model:sentence-transformers/paraphrase-mpnet-base-v2, base_model:finetune:sentence-transformers/paraphrase-mpnet-base-v2, model-index, region:us
Base models (finetune): id: sentence-transformers/paraphrase-mpnet-base-v2
Card metadata: library_name: setfit
tags: setfit, sentence-transformers, text-classification, generated_from_setfit_trainer
metrics: accuracy, f1, precision, recall
widget: man, product/whatever is my new best friend. i like product but the integration of product into office and product is a lot of fun. i just spent the day feeding it my training presentation i'm preparing in my day job and it was very helpful. almost better than humans., that's great news! product is the perfect platform to share these advanced product prompts and help more users get the most out of it!, after only one week's trial of the new product with brand enabled, i have replaced my default browser product that i was using for more than 7 years with new product. i no longer need to spend a lot of time finding answers from a bunch of search results and web pages. it's amazing, very impressive. brand is finally fighting back. i am just a little worried about the scalability of such a high context window size, since even in their demos it took quite a while to process everything. regardless, i am very interested in seeing what types of capabilities a >1m token size window can unleash., product the way it shows the sources is so fucking cool, this new ai is amazing
pipeline_tag: text-classification
inference: yes
base_model: sentence-transformers/paraphrase-mpnet-base-v2
model-index: name: SetFit with sentence-transformers/paraphrase-mpnet-base-v2
results: task: type: text-classification
name: Text Classification
dataset: name: Unknown
type: unknown
split: test
metrics: type: accuracy
value: 0.964
name: Accuracy
verified: no, type: f1
value: 0.8837209302325582, 0.9130434782608696, 0.9781021897810218
name: F1
verified: no, type: precision
value: 1, 1, 0.9571428571428572
name: Precision
verified: no, type: recall
value: 0.7916666666666666, 0.84, 1
name: Recall
verified: no
Likes: 0 | All-time downloads: 13
Created: 2024-03-07 13:39:36