|
--- |
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library_name: transformers |
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base_model: |
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- answerdotai/ModernBERT-base |
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license: apache-2.0 |
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language: |
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- en |
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pipeline_tag: zero-shot-classification |
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datasets: |
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- nyu-mll/glue |
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- facebook/anli |
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tags: |
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- instruct |
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- natural-language-inference |
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- nli |
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--- |
|
|
|
# Model Card for Model ID |
|
|
|
ModernBERT fine-tuned on tasksource NLI tasks, including MNLI, ANLI, SICK, WANLI, doc-nli, LingNLI, FOLIO, FOL-NLI, LogicNLI, Label-NLI...) |
|
Test accuracy at 10k training steps (current version, 100k steps incoming at the end of the week). |
|
|
|
| test_name | test_accuracy | |
|
|:-------------------------------------|----------------:| |
|
| glue/mnli | 0.82 | |
|
| glue/qnli | 0.84 | |
|
| glue/rte | 0.78 | |
|
| super_glue/cb | 0.75 | |
|
| anli/a1 | 0.51 | |
|
| anli/a2 | 0.39 | |
|
| anli/a3 | 0.38 | |
|
| sick/label | 0.91 | |
|
| sick/entailment_AB | 0.81 | |
|
| snli | 0.82 | |
|
| scitail/snli_format | 0.94 | |
|
| hans | 0.99 | |
|
| WANLI | 0.7 | |
|
| recast/recast_ner | 0.84 | |
|
| recast/recast_kg_relations | 0.89 | |
|
| recast/recast_puns | 0.78 | |
|
| recast/recast_verbcorner | 0.87 | |
|
| recast/recast_sentiment | 0.97 | |
|
| recast/recast_verbnet | 0.74 | |
|
| recast/recast_factuality | 0.88 | |
|
| recast/recast_megaveridicality | 0.86 | |
|
| probability_words_nli/reasoning_2hop | 0.76 | |
|
| probability_words_nli/reasoning_1hop | 0.84 | |
|
| probability_words_nli/usnli | 0.7 | |
|
| nan-nli | 0.62 | |
|
| nli_fever | 0.71 | |
|
| breaking_nli | 0.98 | |
|
| conj_nli | 0.66 | |
|
| fracas | 0 | |
|
| dialogue_nli | 0.84 | |
|
| mpe | 0.69 | |
|
| dnc | 0.81 | |
|
| recast_white/fnplus | 0.6 | |
|
| recast_white/sprl | 0.83 | |
|
| recast_white/dpr | 0.57 | |
|
| robust_nli/IS_CS | 0.45 | |
|
| robust_nli/LI_LI | 0.92 | |
|
| robust_nli/ST_WO | 0.66 | |
|
| robust_nli/PI_SP | 0.53 | |
|
| robust_nli/PI_CD | 0.54 | |
|
| robust_nli/ST_SE | 0.58 | |
|
| robust_nli/ST_NE | 0.52 | |
|
| robust_nli/ST_LM | 0.47 | |
|
| robust_nli_is_sd | 0.99 | |
|
| robust_nli_li_ts | 0.81 | |
|
| add_one_rte | 0.87 | |
|
| cycic_classification | 0.62 | |
|
| lingnli | 0.73 | |
|
| monotonicity-entailment | 0.84 | |
|
| scinli | 0.65 | |
|
| naturallogic | 0.77 | |
|
| syntactic-augmentation-nli | 0.87 | |
|
| autotnli | 0.83 | |
|
| defeasible-nli/atomic | 0.72 | |
|
| defeasible-nli/snli | 0.67 | |
|
| help-nli | 0.72 | |
|
| nli-veridicality-transitivity | 0.92 | |
|
| lonli | 0.88 | |
|
| dadc-limit-nli | 0.59 | |
|
| folio | 0.44 | |
|
| tomi-nli | 0.52 | |
|
| temporal-nli | 0.62 | |
|
| counterfactually-augmented-snli | 0.69 | |
|
| cnli | 0.71 | |
|
| logiqa-2.0-nli | 0.51 | |
|
| mindgames | 0.83 | |
|
| ConTRoL-nli | 0.49 | |
|
| logical-fallacy | 0.13 | |
|
| conceptrules_v2 | 0.97 | |
|
| zero-shot-label-nli | 0.67 | |
|
| scone | 0.79 | |
|
| monli | 0.76 | |
|
| SpaceNLI | 0.89 | |
|
| propsegment/nli | 0.82 | |
|
| SDOH-NLI | 0.98 | |
|
| scifact_entailment | 0.52 | |
|
| AdjectiveScaleProbe-nli | 0.91 | |
|
| resnli | 0.97 | |
|
| semantic_fragments_nli | 0.91 | |
|
| dataset_train_nli | 0.81 | |
|
| ruletaker | 0.69 | |
|
| PARARULE-Plus | 1 | |
|
| logical-entailment | 0.53 | |
|
| nope | 0.36 | |
|
| LogicNLI | 0.34 | |
|
| contract-nli/contractnli_a/seg | 0.79 | |
|
| contract-nli/contractnli_b/full | 0.67 | |
|
| nli4ct_semeval2024 | 0.53 | |
|
| biosift-nli | 0.85 | |
|
| SIGA-nli | 0.46 | |
|
| FOL-nli | 0.49 | |
|
| doc-nli | 0.81 | |
|
| mctest-nli | 0.84 | |
|
| idioms-nli | 0.77 | |
|
| lifecycle-entailment | 0.57 | |
|
| MSciNLI | 0.65 | |
|
| babi_nli | 0.77 | |
|
| gen_debiased_nli | 0.82 | |
|
|
|
|
|
``` |
|
@inproceedings{sileo-2024-tasksource, |
|
title = "tasksource: A Large Collection of {NLP} tasks with a Structured Dataset Preprocessing Framework", |
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author = "Sileo, Damien", |
|
booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)", |
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month = may, |
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year = "2024", |
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address = "Torino, Italia", |
|
publisher = "ELRA and ICCL", |
|
url = "https://aclanthology.org/2024.lrec-main.1361", |
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pages = "15655--15684", |
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} |
|
``` |
