Training in progress, epoch 1

config.json

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+{
+  "_name_or_path": "YituTech/conv-bert-base",
+  "architectures": [
+    "ConvBertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "conv_kernel_size": 9,
+  "embedding_size": 768,
+  "eos_token_id": 2,
+  "head_ratio": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "O",
+    "1": "B-DNA",
+    "10": "I-RNA",
+    "2": "I-DNA",
+    "3": "B-protein",
+    "4": "I-protein",
+    "5": "B-cell_type",
+    "6": "I-cell_type",
+    "7": "B-cell_line",
+    "8": "I-cell_line",
+    "9": "B-RNA"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-DNA": "1",
+    "B-RNA": "9",
+    "B-cell_line": "7",
+    "B-cell_type": "5",
+    "B-protein": "3",
+    "I-DNA": "2",
+    "I-RNA": "10",
+    "I-cell_line": "8",
+    "I-cell_type": "6",
+    "I-protein": "4",
+    "O": "0"
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "convbert",
+  "num_attention_heads": 12,
+  "num_groups": 1,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "torch_dtype": "float32",
+  "transformers_version": "4.35.2",
+  "type_vocab_size": 2,
+  "vocab_size": 30522
+}

model.safetensors

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+size 422791676

runs/Jan28_22-00-38_b7f0e70f128a/events.out.tfevents.1706479241.b7f0e70f128a.1461.0

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+size 5830

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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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "101": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "102": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "103": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "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": "ConvBertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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