Training in progress, epoch 0

config.json

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+{
+  "_name_or_path": "microsoft/BiomedNLP-BiomedBERT-large-uncased-abstract",
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": 0.2,
+  "eos_token_ids": 0,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "O",
+    "1": "B-CONTROLLED_VAR",
+    "2": "I-CONTROLLED_VAR",
+    "3": "B-MEASURED_VAR",
+    "4": "I-MEASURED_VAR"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "label2id": {
+    "B-CONTROLLED_VAR": 1,
+    "B-MEASURED_VAR": 3,
+    "I-CONTROLLED_VAR": 2,
+    "I-MEASURED_VAR": 4,
+    "O": 0
+  },
+  "layer_norm_eps": 1e-12,
+  "max_length": 512,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "output_past": true,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.46.3",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

model.safetensors

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training_args.bin

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