Training in progress, step 1000

.gitignore

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config.json

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+  "_name_or_path": "microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract",
+  "adapters": {
+    "adapters": {},
+    "config_map": {},
+    "fusion_config_map": {},
+    "fusions": {}
+  },
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "B-Chemical-bio",
+    "1": "B-Disease-bio",
+    "2": "I-Chemical-bio",
+    "3": "I-Disease-bio",
+    "4": "O"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-Chemical-bio": 0,
+    "B-Disease-bio": 1,
+    "I-Chemical-bio": 2,
+    "I-Disease-bio": 3,
+    "O": 4
+  },
+  "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": "4.11.3",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

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