Jun 21, 2022 · We're on a journey to advance and democratize artificial intelligence through open source and open science.
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We're on a journey to advance and democratize artificial intelligence through open source and open science.
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Mar 4, 2024 · This model is a fine-tuned version of albert-base-v2 on the squad dataset. It achieves the following results on the evaluation set: Loss: 1.1607 ...
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We're on a journey to advance and democratize artificial intelligence through open source and open science.
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May 3, 2024 · When fine-tuned on downstream tasks, the ALBERT models achieve the following results: Average, SQuAD1.1, SQuAD2.0, MNLI, SST-2, RACE. V2. ALBERT ...
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Albert v2 finetuned on SQuAD v1. Trained using the nn_pruning script, with pruning disabled. Original results are F1=90.2, EM=83.2, we improved them to:.
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Mar 4, 2024 · Suitable for Question-Answering tasks, predicts answer spans within the context provided. Language model: albert-base-v2. Language: English
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We're on a journey to advance and democratize artificial intelligence through open source and open science.
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