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Models/ALBERT

ALBERT

Reported on 15 benchmarks across 11 tasks · 4 papers · 5 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing8 results

  • Dialogue UnderstandingonSpoken-SQuAD
    F1 score· 2022-04-29
    77.1
    SOTA
    End-to-end Spoken Conversational Question Answering: Task, Dataset and ModelarXiv:2204.14272
  • Question AnsweringonMultiTQ
    Hits@1· 2019-09-26
    10.8
    best: 79.7 (Prog-TQA)
    SOTA
    ALBERT: A Lite BERT for Self-supervised Learning of Language RepresentationsarXiv:1909.11942
  • Natural Language InferenceonMultiNLI
    Matched· 2019-09-26
    91.3
    best: 92.6 (Turing NLR v5 XXL 5.4B (fine-tuned))
    SOTA
    ALBERT: A Lite BERT for Self-supervised Learning of Language RepresentationsarXiv:1909.11942
  • Text ClassificationonUK Key Stage Readability
    F1· 2024-11-26
    67.8
    best: 99.6 (ELECTRA + ANN)
    What Differentiates Educational Literature? A Multimodal Fusion Approach of Transformers and Computational LinguisticsarXiv:2411.17593
  • Question AnsweringonMultiTQ
    Hits@10· 2019-09-26
    45.9
    best: 91 (Prog-TQA)
    ALBERT: A Lite BERT for Self-supervised Learning of Language RepresentationsarXiv:1909.11942
  • Natural Language InferenceonWNLI
    Accuracy· 2019-09-26
    91.8
    best: 95.9 (Turing NLR v5 XXL 5.4B (fine-tuned))
    ALBERT: A Lite BERT for Self-supervised Learning of Language RepresentationsarXiv:1909.11942
  • Semantic Textual SimilarityonSTS Benchmark
    Pearson Correlation· uses extra data· 2019-09-26
    0.925
    best: 0.929 (MT-DNN-SMART)
    ALBERT: A Lite BERT for Self-supervised Learning of Language RepresentationsarXiv:1909.11942
  • Sentiment AnalysisonSST-2 Binary classification
    Accuracy· 2019-09-26
    97.1
    best: 97.5 (T5-11B)
    ALBERT: A Lite BERT for Self-supervised Learning of Language RepresentationsarXiv:1909.11942

Methodology5 results

  • ClassificationonUK Key Stage Readability
    F1· 2024-11-26
    67.8
    best: 99.6 (ELECTRA + ANN)
    What Differentiates Educational Literature? A Multimodal Fusion Approach of Transformers and Computational LinguisticsarXiv:2411.17593
  • Data MiningonIMDb Movie Reviews
    Accuracy· 2023-08-07
    93
    best: 95.6 (ELECTRA)
    Analysis of the Evolution of Advanced Transformer-Based Language Models: Experiments on Opinion MiningarXiv:2308.03235
  • Data MiningonIMDb Movie Reviews
    F1· 2023-08-07
    93
    best: 95.6 (ELECTRA)
    Analysis of the Evolution of Advanced Transformer-Based Language Models: Experiments on Opinion MiningarXiv:2308.03235
  • Interpretable Machine LearningonIMDb Movie Reviews
    Accuracy· 2023-08-07
    93
    best: 95.6 (ELECTRA)
    Analysis of the Evolution of Advanced Transformer-Based Language Models: Experiments on Opinion MiningarXiv:2308.03235
  • Interpretable Machine LearningonIMDb Movie Reviews
    F1· 2023-08-07
    93
    best: 95.6 (ELECTRA)
    Analysis of the Evolution of Advanced Transformer-Based Language Models: Experiments on Opinion MiningarXiv:2308.03235

Speech2 results

  • DialogueonSpoken-SQuAD
    F1 score· 2022-04-29
    77.1
    SOTA
    End-to-end Spoken Conversational Question Answering: Task, Dataset and ModelarXiv:2204.14272
  • Spoken Language UnderstandingonSpoken-SQuAD
    F1 score· 2022-04-29
    77.1
    SOTA
    End-to-end Spoken Conversational Question Answering: Task, Dataset and ModelarXiv:2204.14272