Model: tomaarsen/reranker-msmarco-v1.1-MiniLM-L12-H384-uncased-listnet-sigmoid-scale-10
Author: tomaarsen
Pipeline: text-classification
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, cross-encoder, text-classification, generated_from_trainer, dataset_size:78704, loss:ListNetLoss, en, dataset:microsoft/ms_marco, arxiv:1908.10084, base_model:microsoft/MiniLM-L12-H384-uncased, base_model:finetune:microsoft/MiniLM-L12-H384-uncased, co2_eq_emissions, region:us
Base models (finetune): id: microsoft/MiniLM-L12-H384-uncased
Card metadata: language: en
tags: sentence-transformers, cross-encoder, text-classification, generated_from_trainer, dataset_size:78704, loss:ListNetLoss
base_model: microsoft/MiniLM-L12-H384-uncased
datasets: microsoft/ms_marco
pipeline_tag: text-classification
library_name: sentence-transformers
metrics: map, mrr@10, ndcg@10
co2_eq_emissions: emissions: 201.83156300124415
energy_consumed: 0.519244982020273
source: codecarbon
training_type: fine-tuning
on_cloud: no
cpu_model: 13th Gen Intel(R) Core(TM) i7-13700K
ram_total_size: 31.777088165283203
hours_used: 1.659
hardware_used: 1 x NVIDIA GeForce RTX 3090
model-index: name: CrossEncoder based on microsoft/MiniLM-L12-H384-uncased
Likes: 0 | All-time downloads: 10
Created: 2025-02-27 23:30:08