config.json

{
  "_name_or_path": "severinsimmler/xlm-roberta-longformer-base-16384",
  "architectures": [
    "LongformerForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "attention_window": [
    256,
    256,
    256,
    256,
    256,
    256,
    256,
    256,
    256,
    256,
    256,
    256
  ],
  "bos_token_id": 0,
  "classifier_dropout": null,
  "eos_token_id": 2,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "O",
    "1": "B-symp",
    "2": "I-symp"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "0": "O",
    "1": "B-symp",
    "2": "I-symp"
  },
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 16386,
  "model_type": "longformer",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "onnx_export": false,
  "pad_token_id": 1,
  "position_embedding_type": "absolute",
  "sep_token_id": 2,
  "torch_dtype": "float32",
  "transformers_version": "4.38.2",
  "type_vocab_size": 1,
  "vocab_size": 250002
}