Upload RobertaForTokenClassification

config.json

@@ -0,0 +1,50 @@
+{
+  "_name_or_path": "EriBERTa-clinical-trials-medic-attr",
+  "architectures": [
+    "RobertaForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "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": "B-Dose",
+    "1": "I-Dose",
+    "2": "B-Form",
+    "3": "I-Form",
+    "4": "B-Route",
+    "5": "I-Route",
+    "6": "B-Contraindicated",
+    "7": "I-Contraindicated",
+    "8": "O"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-Contraindicated": 6,
+    "B-Dose": 0,
+    "B-Form": 2,
+    "B-Route": 4,
+    "I-Contraindicated": 7,
+    "I-Dose": 1,
+    "I-Form": 3,
+    "I-Route": 5,
+    "O": 8
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.28.0",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 64000
+}

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3f45761626c3f5073118c1a2df9f7ca977f080112be6fa0d23580996b4678edf
+size 538511725