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config.json

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+{
+  "_name_or_path": "xlm-roberta-large-64-3e-05-0-pharmaconer_best",
+  "architectures": [
+    "XLMRobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": 0,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4",
+    "5": "LABEL_5",
+    "6": "LABEL_6",
+    "7": "LABEL_7",
+    "8": "LABEL_8"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "label2id": {
+    "B-NORMALIZABLES": 2,
+    "B-NO_NORMALIZABLES": 1,
+    "B-PROTEINAS": 3,
+    "B-UNCLEAR": 4,
+    "I-NORMALIZABLES": 6,
+    "I-NO_NORMALIZABLES": 5,
+    "I-PROTEINAS": 7,
+    "I-UNCLEAR": 8,
+    "O": 0
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "xlm-roberta",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.25.1",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:af1b02d1701d2266eaa24277b70dedc07803f66b6d331dae2483b258b3196d12
+size 2239733109