Training in progress, epoch 1

config.json

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+{
+  "_name_or_path": "dmis-lab/biobert-v1.1",
+  "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-Adverse_event.Trigger",
+    "1": "I-Treatment",
+    "2": "O",
+    "3": "I-Treatment.Drug",
+    "4": "I-Treatment.Duration",
+    "5": "I-Subject.Gender",
+    "6": "I-Treatment.Treat_Disorder",
+    "7": "I-Subject.Population",
+    "8": "I-Subject",
+    "9": "I-Subject.Sub_Disorder",
+    "10": "I-Treatment.Time_elapsed",
+    "11": "I-Subject.Age",
+    "12": "I-Treatment.Dosage",
+    "13": "I-Treatment.Route",
+    "14": "I-Effect",
+    "15": "I-Subject.Race",
+    "16": "I-Treatment.Freq",
+    "17": "I-Potential_therapeutic_event.Trigger"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "I-Adverse_event.Trigger": 0,
+    "I-Effect": 14,
+    "I-Potential_therapeutic_event.Trigger": 17,
+    "I-Subject": 8,
+    "I-Subject.Age": 11,
+    "I-Subject.Gender": 5,
+    "I-Subject.Population": 7,
+    "I-Subject.Race": 15,
+    "I-Subject.Sub_Disorder": 9,
+    "I-Treatment": 1,
+    "I-Treatment.Dosage": 12,
+    "I-Treatment.Drug": 3,
+    "I-Treatment.Duration": 4,
+    "I-Treatment.Freq": 16,
+    "I-Treatment.Route": 13,
+    "I-Treatment.Time_elapsed": 10,
+    "I-Treatment.Treat_Disorder": 6,
+    "O": 2
+  },
+  "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": "4.40.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 28996
+}

model.safetensors

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+size 430957424

runs/May09_00-31-58_62ad96e162ea/events.out.tfevents.1715214827.62ad96e162ea.366.0

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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

@@ -0,0 +1,57 @@
+{
+  "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": 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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+size 4984