Model: philipphager/baidu-ultr_uva-bert_naive-pointwise
Author: philipphager
Library: transformers
Tags: transformers, safetensors, bert, dataset:philipphager/baidu-ultr-pretrain, dataset:philipphager/baidu-ultr_uva-mlm-ctr, arxiv:2207.03051, arxiv:2404.02543, license:mit, co2_eq_emissions, endpoints_compatible, region:us
Card metadata: license: mit
datasets: philipphager/baidu-ultr-pretrain, philipphager/baidu-ultr_uva-mlm-ctr
metrics: log-likelihood, dcg@1, dcg@3, dcg@5, dcg@10, ndcg@10, mrr@10
co2_eq_emissions: emissions: 2090
source: Calculated using the [ML CO2 impact calculator](https://mlco2.github.io/impact/#compute), training for 4 x 45 hours with a carbon efficiency of 0.029 kg/kWh. You can inspect the carbon efficiency of the French national grid provider here: https://www.rte-france.com/eco2mix/les-emissions-de-co2-par-kwh-produit-en-france
training_type: Pre-training
geographical_location: Grenoble, France
hardware_used: 4 NVIDIA H100-80GB GPUs
Likes: 1 | All-time downloads: 12
Created: 2024-04-24 10:07:06