Training in progress, epoch 1

.gitignore

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+checkpoint-*/

config.json

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+{
+  "_name_or_path": "sujeongh/biobert-v1.1-BC2GM-IOBES",
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "I-protein",
+    "1": "B-cell_line",
+    "2": "S-DNA",
+    "3": "I-RNA",
+    "4": "E-DNA",
+    "5": "I-cell_line",
+    "6": "B-DNA",
+    "7": "S-cell_line",
+    "8": "S-protein",
+    "9": "S-cell_type",
+    "10": "E-cell_line",
+    "11": "E-cell_type",
+    "12": "B-RNA",
+    "13": "S-RNA",
+    "14": "B-protein",
+    "15": "E-protein",
+    "16": "B-cell_type",
+    "17": "I-DNA",
+    "18": "I-cell_type",
+    "19": "E-RNA",
+    "20": "O"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
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+    "B-RNA": 12,
+    "B-cell_line": 1,
+    "B-cell_type": 16,
+    "B-protein": 14,
+    "E-DNA": 4,
+    "E-RNA": 19,
+    "E-cell_line": 10,
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+    "I-DNA": 17,
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+    "I-cell_line": 5,
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+    "I-protein": 0,
+    "O": 20,
+    "S-DNA": 2,
+    "S-RNA": 13,
+    "S-cell_line": 7,
+    "S-cell_type": 9,
+    "S-protein": 8
+  },
+  "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",
+  "torch_dtype": "float32",
+  "transformers_version": "4.28.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 28996
+}

pytorch_model.bin

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runs/Sep01_16-18-12_andlab-server/1725207497.1969185/events.out.tfevents.1725207497.andlab-server.3438106.14

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special_tokens_map.json

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

tokenizer_config.json

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+{
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": false,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "never_split": null,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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