gliner_largev2 / config.json
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{
"lr_encoder": "1e-5",
"lr_others": "5e-5",
"num_steps": 100000,
"warmup_ratio": 0.1,
"train_batch_size": 8,
"eval_every": 10000,
"max_width": 12,
"model_name": "microsoft/deberta-v3-large",
"fine_tune": true,
"subtoken_pooling": "first",
"hidden_size": 768,
"span_mode": "markerV0",
"dropout": 0.4,
"max_neg_type_ratio": 2,
"name": "abl",
"size_sup": -1,
"max_types": 25,
"shuffle_types": true,
"random_drop": true,
"max_len": 384
"model_type":"token classification"
}