Upload XLMRobertaForTokenClassification

config.json

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+{
+  "_name_or_path": "asahi417/tner-xlm-roberta-large-ontonotes5",
+  "architectures": [
+    "XLMRobertaForTokenClassification"
+  ],
+  "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": 1024,
+  "id2label": {
+    "0": "O",
+    "1": "B-cardinal number",
+    "2": "B-date",
+    "3": "I-date",
+    "4": "B-person",
+    "5": "I-person",
+    "6": "B-group",
+    "7": "B-geopolitical area",
+    "8": "I-geopolitical area",
+    "9": "B-law",
+    "10": "I-law",
+    "11": "B-organization",
+    "12": "I-organization",
+    "13": "B-percent",
+    "14": "I-percent",
+    "15": "B-ordinal number",
+    "16": "B-money",
+    "17": "I-money",
+    "18": "B-work of art",
+    "19": "I-work of art",
+    "20": "B-facility",
+    "21": "B-time",
+    "22": "I-cardinal number",
+    "23": "B-location",
+    "24": "B-quantity",
+    "25": "I-quantity",
+    "26": "I-group",
+    "27": "I-location",
+    "28": "B-product",
+    "29": "I-time",
+    "30": "B-event",
+    "31": "I-event",
+    "32": "I-facility",
+    "33": "B-language",
+    "34": "I-product",
+    "35": "I-ordinal number",
+    "36": "I-language"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "label2id": {
+    "B-cardinal number": 1,
+    "B-date": 2,
+    "B-event": 30,
+    "B-facility": 20,
+    "B-geopolitical area": 7,
+    "B-group": 6,
+    "B-language": 33,
+    "B-law": 9,
+    "B-location": 23,
+    "B-money": 16,
+    "B-ordinal number": 15,
+    "B-organization": 11,
+    "B-percent": 13,
+    "B-person": 4,
+    "B-product": 28,
+    "B-quantity": 24,
+    "B-time": 21,
+    "B-work of art": 18,
+    "I-cardinal number": 22,
+    "I-date": 3,
+    "I-event": 31,
+    "I-facility": 32,
+    "I-geopolitical area": 8,
+    "I-group": 26,
+    "I-language": 36,
+    "I-law": 10,
+    "I-location": 27,
+    "I-money": 17,
+    "I-ordinal number": 35,
+    "I-organization": 12,
+    "I-percent": 14,
+    "I-person": 5,
+    "I-product": 34,
+    "I-quantity": 25,
+    "I-time": 29,
+    "I-work of art": 19,
+    "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": "4.26.1",
+  "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 sha256:61b9a6264487f44a539da2088427d756f03577af4cb4d2ac30c483346998efec
+size 2235651569