Training in progress, step 500

.gitignore

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config.json

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+  "_name_or_path": "cambridgeltl/SapBERT-UMLS-2020AB-all-lang-from-XLMR",
+  "architectures": [
+    "XLMRobertaForTokenClassification"
+  ],
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+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "O",
+    "1": "B-Disease",
+    "2": "I-Disease",
+    "3": "B-Chemical",
+    "4": "I-Chemical"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-Chemical": "3",
+    "B-Disease": "1",
+    "I-Chemical": "4",
+    "I-Disease": "2",
+    "O": "0"
+  },
+  "layer_norm_eps": 1e-05,
+  "max_length": 512,
+  "max_position_embeddings": 514,
+  "model_type": "xlm-roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.16.0.dev0",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
+}

pytorch_model.bin

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special_tokens_map.json

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tokenizer_config.json

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training_args.bin

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