Initial files from Voskarides et al.

added_tokens.json

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+{}

config.json

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+{
+  "attention_probs_dropout_prob": 0.1,
+  "finetuning_task": "ner",
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.4,
+  "hidden_size": 1024,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "num_labels": 5,
+  "output_attentions": false,
+  "output_hidden_states": false,
+  "pruned_heads": {},
+  "torchscript": false,
+  "type_vocab_size": 2,
+  "vocab_size": 30522
+}

model_config.json

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+{"bert_model": "bert-large-uncased", "do_lower": true, "max_seq_length": 300, "num_labels": 5, "label_map": {"1": "O", "2": "REL", "3": "[CLS]", "4": "[SEP]"}, "hidden_dropout_prob": 0.4}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d7b2eedbca3038c5e3a456a96e0cc2cd8eda9204fa35c91bfa9162cbf007693d
+size 1340682923

special_tokens_map.json

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+{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}

tokenizer_config.json

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+{"do_lower_case": true, "max_len": 512, "init_inputs": []}

train_args.json

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+{"data_dir": "/ivi/ilps/projects/Trec_CAST_2019/quac_sigir_data/token_classification/", "bert_model": "bert-large-uncased", "task_name": "ner", "cache_dir": "", "max_seq_length": 300, "do_train": true, "do_eval": true, "eval_on": "dev", "do_lower_case": true, "train_batch_size": 4, "eval_batch_size": 4, "learning_rate": 3e-05, "num_train_epochs": 20.0, "warmup_proportion": 0.3, "weight_decay": 0.01, "adam_epsilon": 1e-08, "max_grad_norm": 1.0, "no_cuda": false, "local_rank": -1, "seed": 42, "gradient_accumulation_steps": 1, "fp16": false, "fp16_opt_level": "O1", "loss_scale": 0, "server_ip": "", "server_port": "", "train_on": "quac_v0.2_token_classification_train_with_rewrites_rewrite", "dev_on": "quac_v0.2_token_classification_dev_rewrite", "base_dir": "/ivi/ilps/personal/nvoskar1/experiments/bert-ner-overlap/", "model_id": "191790_50", "hidden_dropout_prob": 0.4, "epoch": 3, "loss_train": 278.58085856749676}