sileod's picture
Upload Adapter
2995476 verified
{
"_name_or_path": "answerdotai/ModernBERT-base",
"architectures": [
"Adapter"
],
"attention_bias": false,
"attention_dropout": 0.0,
"bos_token_id": 50281,
"classifier_activation": "gelu",
"classifier_bias": false,
"classifier_dropout": 0.0,
"classifier_pooling": "mean",
"classifiers_size": [
3,
2,
2,
2,
2,
3,
3,
3,
3,
3,
3,
3,
2,
2,
3,
2,
2,
2,
2,
2,
6,
2,
2,
2,
2,
2,
3,
3,
3,
3,
3,
3,
3,
2,
2,
2,
2,
3,
3,
3,
3,
3,
3,
3,
3,
2,
2,
2,
2,
3,
2,
4,
3,
3,
2,
2,
2,
2,
2,
3,
2,
3,
2,
4,
3,
3,
3,
2,
3,
1,
2,
2,
3,
13,
2,
3,
2,
2,
3,
3,
2,
3,
3,
2,
3,
2,
2,
2,
2,
2,
3,
4,
3,
3,
2,
2,
3,
3,
2,
2,
2,
2,
2,
4,
3,
2,
2,
3
],
"cls_token_id": 50281,
"decoder_bias": true,
"deterministic_flash_attn": false,
"embedding_dropout": 0.0,
"eos_token_id": 50282,
"global_attn_every_n_layers": 3,
"global_rope_theta": 160000.0,
"gradient_checkpointing": false,
"hidden_activation": "gelu",
"hidden_size": 768,
"id2label": {
"0": "entailment",
"1": "neutral",
"2": "contradiction"
},
"initializer_cutoff_factor": 2.0,
"initializer_range": 0.02,
"intermediate_size": 1152,
"label2id": {
"contradiction": 2,
"entailment": 0,
"neutral": 1
},
"labels_list": [
[
"entailment",
"neutral",
"contradiction"
],
[
"entailment",
"not_entailment"
],
[
"entailment",
"not_entailment"
],
[
"not_entailment",
"entailment"
],
[
"False",
"True"
],
[
"entailment",
"contradiction",
"neutral"
],
[
"entailment",
"neutral",
"contradiction"
],
[
"entailment",
"neutral",
"contradiction"
],
[
"entailment",
"neutral",
"contradiction"
],
[
"entailment",
"neutral",
"contradiction"
],
[
"A_contradicts_B",
"A_entails_B",
"A_neutral_B"
],
[
"entailment",
"neutral",
"contradiction"
],
[
"entailment",
"neutral"
],
[
"entailment",
"non-entailment"
],
[
"entailment",
"neutral",
"contradiction"
],
[
"not-entailed",
"entailed"
],
[
"not-entailed",
"entailed"
],
[
"not-entailed",
"entailed"
],
[
"not-entailed",
"entailed"
],
[
"not-entailed",
"entailed"
],
[
"1",
"2",
"3",
"4",
"5",
"6"
],
[
"not-entailed",
"entailed"
],
[
"not-entailed",
"entailed"
],
[
"valid",
"invalid"
],
[
"valid",
"invalid"
],
[
"valid",
"invalid"
],
[
"entailment",
"neutral",
"contradiction"
],
[
"entailment",
"neutral",
"contradiction"
],
[
0,
1,
2
],
[
0,
1,
2
],
[
0,
1,
2
],
[
0,
1,
2
],
[
0,
1,
2
],
[
0,
1
],
[
0,
1
],
[
0,
1
],
[
0,
1
],
[
0,
1,
2
],
[
0,
1,
2
],
[
0,
1,
2
],
[
0,
1,
2
],
[
0,
1,
2
],
[
0,
1,
2
],
[
0,
1,
2
],
[
0,
1,
2
],
[
0,
1
],
[
0,
1
],
[
0,
1
],
[
"False",
"True"
],
[
"entailment",
"neutral",
"contradiction"
],
[
"entailment",
"neutral"
],
[
"contrasting",
"entailment",
"neutral",
"reasoning"
],
[
"entailment",
"neutral",
"contradiction"
],
[
"entailment",
"neutral",
"contradiction"
],
[
"entailment",
"neutral"
],
[
"strengthener",
"weakener"
],
[
"strengthener",
"weakener"
],
[
"entailment",
"neutral"
],
[
"entailment",
"neutral"
],
[
"entailment",
"neutral",
"contradiction"
],
[
"contradiction",
"entailment"
],
[
"entailment",
"neutral",
"contradiction"
],
[
"entailment",
"not_entailment"
],
[
"entailment",
"non-entailment",
"not entailment - contradiction",
"not entailment - unknown"
],
[
"entailment",
"neutral",
"contradiction"
],
[
"entailment",
"neutral",
"contradiction"
],
[
"entailment",
"neutral",
"contradiction"
],
[
"False",
"True"
],
[
"entailment",
"neutral",
"contradiction"
],
[],
[
"entailment",
"not-entailment"
],
[
"entailment",
"not_entailment"
],
[
"entailment",
"neutral",
"contradiction"
],
[
"ad hominem",
"ad populum",
"appeal to emotion",
"circular reasoning",
"equivocation",
"fallacy of credibility",
"fallacy of extension",
"fallacy of logic",
"fallacy of relevance",
"false causality",
"false dilemma",
"faulty generalization",
"intentional"
],
[
false,
true
],
[
"entailment",
"neutral",
"contradiction"
],
[
"entailment",
"neutral"
],
[
"entailment",
"neutral"
],
[
"entailment",
"neutral",
"contradiction"
],
[
"entailment",
"neutral",
"contradiction"
],
[
"entailment",
"not-entailment"
],
[
"contradict",
"neutral",
"support"
],
[
"entailment",
"neutral",
"contradiction"
],
[
"contradiction",
"entailment"
],
[
"entailment",
"neutral",
"contradiction"
],
[
"entailment",
"not_entailment"
],
[
"False",
"True"
],
[
"entailment",
"not entailment"
],
[
"False",
"True"
],
[
"entailment",
"not entailment"
],
[
"entailment",
"neutral",
"contradiction"
],
[
"contradiction",
"entailment",
"neutral",
"self_contradiction"
],
[
"contradiction",
"entailment",
"neutral"
],
[
"contradiction",
"entailment",
"neutral"
],
[
"Contradiction",
"Entailment"
],
[
"entailment",
"not-entailment"
],
[
"entailment",
"neutral",
"contradiction"
],
[
"entailment",
"neutral",
"contradiction"
],
[
"entailment",
"not_entailment"
],
[
"entailment",
"non_entailment"
],
[
"consistent",
"inconsistent"
],
[
"entailment",
"not_entailment"
],
[
"entailment",
"not_entailment"
],
[
"contrasting",
"entailment",
"neutral",
"reasoning"
],
[
"entailment",
"neutral",
"contradiction"
],
[
"No",
"Yes"
],
[
"not-entailed",
"entailed"
],
[
0,
1,
2
]
],
"layer_norm_eps": 1e-05,
"local_attention": 128,
"local_rope_theta": 10000.0,
"max_position_embeddings": 2048,
"mlp_bias": false,
"mlp_dropout": 0.0,
"model_type": "modernbert",
"norm_bias": false,
"norm_eps": 1e-05,
"num_attention_heads": 12,
"num_hidden_layers": 22,
"pad_token_id": 50283,
"position_embedding_type": "absolute",
"problem_type": "single_label_classification",
"reference_compile": true,
"sep_token_id": 50282,
"sparse_pred_ignore_index": -100,
"sparse_prediction": false,
"tasks": [
"glue/mnli",
"glue/qnli",
"glue/rte",
"glue/wnli",
"super_glue/boolq",
"super_glue/cb",
"anli/a1",
"anli/a2",
"anli/a3",
"sick/label",
"sick/entailment_AB",
"snli",
"scitail/snli_format",
"hans",
"WANLI",
"recast/recast_sentiment",
"recast/recast_verbcorner",
"recast/recast_ner",
"recast/recast_factuality",
"recast/recast_puns",
"recast/recast_kg_relations",
"recast/recast_verbnet",
"recast/recast_megaveridicality",
"probability_words_nli/usnli",
"probability_words_nli/reasoning_1hop",
"probability_words_nli/reasoning_2hop",
"nan-nli",
"nli_fever",
"breaking_nli",
"conj_nli",
"fracas",
"dialogue_nli",
"mpe",
"dnc",
"recast_white/fnplus",
"recast_white/sprl",
"recast_white/dpr",
"robust_nli/IS_CS",
"robust_nli/LI_LI",
"robust_nli/ST_WO",
"robust_nli/PI_SP",
"robust_nli/PI_CD",
"robust_nli/ST_SE",
"robust_nli/ST_NE",
"robust_nli/ST_LM",
"robust_nli_is_sd",
"robust_nli_li_ts",
"add_one_rte",
"cycic_classification",
"lingnli",
"monotonicity-entailment",
"scinli",
"naturallogic",
"syntactic-augmentation-nli",
"autotnli",
"defeasible-nli/atomic",
"defeasible-nli/snli",
"help-nli",
"nli-veridicality-transitivity",
"lonli",
"dadc-limit-nli",
"folio",
"tomi-nli",
"puzzte",
"temporal-nli",
"counterfactually-augmented-snli",
"cnli",
"boolq-natural-perturbations",
"equate",
"chaos-mnli-ambiguity",
"logiqa-2.0-nli",
"mindgames",
"ConTRoL-nli",
"logical-fallacy",
"conceptrules_v2",
"zero-shot-label-nli",
"scone",
"monli",
"SpaceNLI",
"propsegment/nli",
"SDOH-NLI",
"scifact_entailment",
"AdjectiveScaleProbe-nli",
"resnli",
"semantic_fragments_nli",
"dataset_train_nli",
"nlgraph",
"ruletaker",
"PARARULE-Plus",
"logical-entailment",
"nope",
"LogicNLI",
"contract-nli/contractnli_a/seg",
"contract-nli/contractnli_b/full",
"nli4ct_semeval2024",
"biosift-nli",
"SIGA-nli",
"FOL-nli",
"doc-nli",
"mctest-nli",
"natural-language-satisfiability",
"idioms-nli",
"lifecycle-entailment",
"MSciNLI",
"hover-3way/nli",
"seahorse_summarization_evaluation",
"babi_nli",
"gen_debiased_nli"
],
"torch_dtype": "float32",
"transformers_version": "4.48.0.dev0",
"vocab_size": 50368
}