Model: alan-yahya/NanoBERT-V2
Author: alan-yahya
Pipeline: feature-extraction
Tags: tensorboard, safetensors, bert, feature-extraction, dataset:Flamenco43/custom_tokenized_nano_papers_cut-with_book_corpus, base_model:google-bert/bert-base-uncased, base_model:finetune:google-bert/bert-base-uncased, license:apache-2.0, model-index, region:us
Base models (finetune): id: google-bert/bert-base-uncased
Card metadata: license: apache-2.0
base_model: google-bert/bert-base-uncased
datasets: Flamenco43/custom_tokenized_nano_papers_cut-with_book_corpus
metrics: accuracy
model-index: name: NanoBERT-V2
results: task: name: Masked Language Modeling
type: fill-mask
dataset: name: Flamenco43/custom_tokenized_nano_papers_cut-with_book_corpus
type: Flamenco43/custom_tokenized_nano_papers_cut-with_book_corpus
metrics: name: Accuracy
type: accuracy
value: 0.7714210987654321
verified: no
pipeline_tag: feature-extraction
Likes: 0 | All-time downloads: 2492
Created: 2024-08-05 04:59:51