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  1. config.json +59 -0
  2. model.safetensors +3 -0
config.json ADDED
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+ {
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+ "model_name_or_path": "pretrained/ClinicalplusXLNet/",
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+ "tokenizer_name": "xlnet-base-cased",
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+ "output_dir": "../model/",
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+ "overwrite_output_dir": true,
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+
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+ "task_name": "mimic3-50",
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+ "max_seq_length": 512,
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+ "train_file": "../data/mimic3/5/train_data_5_level_1.csv",
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+ "validation_file": "../data/mimic3/5/dev_data_5_level_1.csv",
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+ "test_file": "../data/mimic3/5/test_data_5_level_1.csv",
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+ "label_dictionary_file": "../data/mimic3/5/labels_dictionary_5_level_1.csv",
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+ "ignore_keys_for_eval": ["preds", "label_attention_weights", "chunk_attention_weights"],
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+ "use_cached_datasets": true,
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+ "data_segmented": true,
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+ "lazy_loading": false,
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+
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+ "d_model": 768,
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+ "dropout": 0.1,
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+ "dropout_att": 0.1,
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+ "num_chunks_per_document": 10,
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+ "transformer_layer_update_strategy": "all",
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+ "use_code_representation": false,
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+ "multi_head_attention": false,
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+ "chunk_attention": true,
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+ "multi_head_chunk_attention": false,
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+ "linear_init_mean": 0.0,
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+ "linear_init_std": 0.03,
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+ "document_pooling_strategy": "mean",
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+
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+ "do_train": true,
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+ "do_eval": true,
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+ "do_predict": true,
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+ "evaluation_strategy": "steps",
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+ "per_device_train_batch_size": 4,
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+ "per_device_eval_batch_size": 4,
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+ "gradient_accumulation_steps": 1,
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+ "learning_rate": 5e-5,
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+ "weight_decay": 0.1,
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+ "num_train_epochs": 100,
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+ "max_steps": 10500,
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+ "warmup_steps": 500,
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+ "log_level": "error",
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+ "logging_strategy": "steps",
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+ "logging_steps": 500,
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+ "save_strategy": "steps",
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+ "save_steps": 500,
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+ "seed": 2022,
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+ "dataloader_drop_last": false,
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+ "disable_tqdm": false,
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+ "label_names": ["targets"],
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+ "load_best_model_at_end": false,
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+ "metric_for_best_model": "micro_f1",
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+ "greater_is_better": true,
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+ "remove_unused_columns": false,
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+ "num_hidden_layers": 0,
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+ "report_to": "none",
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+ "resume_from_checkpoint": "C:/Users/mkanneganti/Downloads/new/model/checkpoint-10000- Hilat main 05/"
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+ }
model.safetensors ADDED
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+ size 471649956