{ "attention_probs_dropout_prob": 0.1, "bos_token_id": null, "dtype": "float16", "eos_token_id": null, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 384, "initializer_range": 0.02, "intermediate_size": 1536, "layer_norm_eps": 1e-07, "legacy": true, "max_position_embeddings": 512, "max_relative_positions": -1, "model_type": "deberta-v2", "norm_rel_ebd": "layer_norm", "num_attention_heads": 6, "num_hidden_layers": 12, "pad_token_id": 0, "pooler_dropout": 0.0, "pooler_hidden_act": "gelu", "pooler_hidden_size": 384, "pos_att_type": [ "p2c", "c2p" ], "position_biased_input": false, "position_buckets": 256, "relative_attention": true, "share_att_key": true, "tie_word_embeddings": true, "transformers_version": "5.19.0", "type_vocab_size": 0, "vocab_size": 128011, "architectures": [ "DebertaV2Model" ], "gliner2": { "description": "Classification path of finetune/out/small-ft-v6/best: encoder, hidden state at each [L] label marker, classifier MLP, one logit per label.", "special_tokens": [ "[SEP_STRUCT]", "[SEP_TEXT]", "[P]", "[C]", "[E]", "[R]", "[L]", "[EXAMPLE]", "[OUTPUT]", "[DESCRIPTION]" ], "max_len": 512, "temperature": 1.0, "inputs": "input_ids, attention_mask, marker_positions (index of each [L] token)", "output": "logits (batch, markers); softmax within each question's markers", "labels": { "medical": "Health, medical, or mental-health details about a specific person", "student_records": "Grades, conduct, advising, accommodations, or other FERPA records about a named student", "id_numbers": "Social Security, passport, driver's license, visa, or other ID numbers", "financial": "Bank accounts, card numbers, salaries, income, or payroll for a specific person", "credentials": "Real passwords, API keys, private keys, or login secrets", "legal_hr": "Legal, HR, disciplinary, harassment, criminal, or immigration matters about a person", "none": "None of these: general, public, aggregate, fictional, redacted, or placeholder content" }, "source": "finetune/out/small-ft-v6/best" } }