Sentence Similarity
sentence-transformers
Safetensors
English
modernbert
feature-extraction
Generated from Trainer
dataset_size:6661966
loss:MultipleNegativesRankingLoss
loss:CachedMultipleNegativesRankingLoss
loss:SoftmaxLoss
loss:AnglELoss
loss:CoSENTLoss
loss:CosineSimilarityLoss
Inference Endpoints
{ | |
"_name_or_path": "tasksource/ModernBERT-base-nli", | |
"architectures": [ | |
"ModernBertModel" | |
], | |
"attention_bias": false, | |
"attention_dropout": 0.0, | |
"bos_token_id": 50281, | |
"classifier_activation": "gelu", | |
"classifier_bias": false, | |
"classifier_dropout": 0.0, | |
"classifier_pooling": "mean", | |
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], | |
"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 | |
}, | |
"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 | |
} | |