A curated collection of datasets in French, designed to evaluate biases in LLMs
Irina Proskurina PRO
iproskurina
AI & ML interests
LLMs: quantization, pre-training
Recent Activity
updated
a Space
24 minutes ago
LabHC/dike-leaderboard
updated
a Space
26 minutes ago
iproskurina/dike-leaderboard
updated
a dataset
4 days ago
iproskurina/bias-in-bios-qwen-trained-seed50
Organizations
Attention graph features extracted from LMs fine-tuned on linguistic acceptability corpora
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iproskurina/tda-ruroberta-large-ru-cola
Text Classification • 0.4B • Updated • 8 -
iproskurina/tda-bert-en-cola
Text Classification • 0.1B • Updated • 5 -
iproskurina/tda-roberta-large-en-cola
Text Classification • 0.4B • Updated • 8 -
iproskurina/tda-rubert-ru-cola
Text Classification • 0.2B • Updated • 4
A collection of models submitted to the BabyLM23 competition
A curated collection of datasets in French, designed to evaluate biases in LLMs
LLMs quantized with GPTQ
Attention graph features extracted from LMs fine-tuned on linguistic acceptability corpora
-
iproskurina/tda-ruroberta-large-ru-cola
Text Classification • 0.4B • Updated • 8 -
iproskurina/tda-bert-en-cola
Text Classification • 0.1B • Updated • 5 -
iproskurina/tda-roberta-large-en-cola
Text Classification • 0.4B • Updated • 8 -
iproskurina/tda-rubert-ru-cola
Text Classification • 0.2B • Updated • 4
A collection of models submitted to the BabyLM23 competition