NastasiaM/mbert-loraxs-qa-vanilla

Question Answering·NastasiaM· 10

peft apache-2.0 Question Answering 177.3M params base_model:adapter:bert-base-multilingual-casedbase_model:google-bert/bert-base-multilingual-casedbase_model:adapter:google-bert/bert-base-multilingual-casedlicense:apache-2.0region:us

This model is a fine-tuned version of bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set: - Loss: 1.4437 - Exact Match: 55.68 - F1: 70.3954

Open in MLForge Sign up free Desktop app Source ↗

# pull & run locally
pip install mlforge-sdk && mlforge pull NastasiaM/mbert-loraxs-qa-vanilla

Model details

Task

Question Answering

Provider

NastasiaM

Framework

peft

Parameters

177.3M

Size

80 GB

License

apache-2.0

Downloads

Updated

2026-06-04

About NastasiaM/mbert-loraxs-qa-vanilla

This model is a fine-tuned version of bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set: - Loss: 1.4437 - Exact Match: 55.68 - F1: 70.3954

Related Question Answering

E ahotrod/electra_large_discriminator_squad2_512 Question Answering 874.4K 7 🤗 HF R deepset/roberta-base-squad2 Question Answering 503.9K 948 🤗 HF M timpal0l/mdeberta-v3-base-squad2 Question Answering ·278.2M params 259.9K 259 🤗 HF D distilbert/distilbert-base-cased-distilled-squad Question Answering ·65.2M params 212.7K 269 🤗 HF B deepset/bert-large-uncased-whole-word-masking-squad2 Question Answering ·335.1M params 192.2K 31 🤗 HF T deepset/tinyroberta-squad2 Question Answering ·81.5M params 165.9K 114 🤗 HF

Browse all Question Answering models →