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  1. gliner_config.json +37 -0
  2. pytorch_model.bin +3 -0
gliner_config.json ADDED
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+ {
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+ "model_name": "FacebookAI/xlm-roberta-large",
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+ "name": "token level gliner",
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+ "max_width": 100,
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+ "hidden_size": 768,
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+ "dropout": 0.1,
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+ "fine_tune": true,
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+ "subtoken_pooling": "first",
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+ "span_mode": "token_level",
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+ "num_steps": 120000,
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+ "train_batch_size": 2,
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+ "eval_every": 500,
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+ "warmup_ratio": 0.1,
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+ "scheduler_type": "cosine",
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+ "gradient_accumulation_steps": 2,
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+ "loss_alpha": -1,
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+ "loss_gamma": 0,
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+ "label_smoothing": 0,
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+ "loss_reduction": "sum",
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+ "lr_encoder": "3e-5",
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+ "lr_others": "3e-5",
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+ "weight_decay_encoder": 0.01,
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+ "weight_decay_other": 0.01,
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+ "root_dir": "gliner_logs",
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+ "train_data": "/home/ltngoc/ngoclt/OriGliner/GLiNER/data/pilener_train.json",
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+ "val_data_dir": "/home/ltngoc/ngoclt/OriGliner/GLiNER/data/viner",
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+ "log_dir": "xlm-roberta",
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+ "prev_path": "/home/ltngoc/ngoclt/OriGliner/GLiNER/xlm-roberta/model_78000",
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+ "save_total_limit": 10,
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+ "size_sup": -1,
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+ "max_types": 12000,
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+ "shuffle_types": true,
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+ "random_drop": true,
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+ "max_neg_type_ratio": 1,
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+ "max_len": 512,
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+ "freeze_token_rep": false
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+ }
pytorch_model.bin ADDED
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