initial commit

config.json

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+{
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "transformers_version": "4.11.3",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 31090
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f98c3b9cf036cb983b8cb62ea9673a69f59c212d2de981a882c876d0601fe08a
+size 440004077

results.txt

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+epoch -1 (before training): {'mean_average_precision_at_r': 0.1717016948291418, 'precision_at_1': 0.9052984775641025, 'r_precision': 0.24771769612667782}
+epoch 0: {'mean_average_precision_at_r': 0.9145767187131235, 'precision_at_1': 0.9973457532051282, 'r_precision': 0.9218415775216084}
+epoch 1: {'mean_average_precision_at_r': 0.9328308864696903, 'precision_at_1': 0.9977463942307693, 'r_precision': 0.9374125501176045}
+epoch 2: {'mean_average_precision_at_r': 0.945318116542741, 'precision_at_1': 0.9985476762820513, 'r_precision': 0.9490188145214213}
+epoch 3: {'mean_average_precision_at_r': 0.9443299354752162, 'precision_at_1': 0.9988982371794872, 'r_precision': 0.9473097575204369}
+epoch 4: {'mean_average_precision_at_r': 0.946282748566647, 'precision_at_1': 0.9988982371794872, 'r_precision': 0.9488600018943666}
+best epoch: 4

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, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "special_tokens_map_file": null, "name_or_path": "allenai/scibert_scivocab_uncased", "do_basic_tokenize": true, "never_split": null, "tokenizer_class": "BertTokenizer"}