config.json

{
  "_name_or_path": "roberta-base",
  "architectures": [
    "RobertaForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "classifier_dropout": null,
  "eos_token_id": 2,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "easy",
    "1": "medium",
    "2": "hard",
    "3": "command of textual evidence",
    "4": "central ideas and details",
    "5": "inferences",
    "6": "words in context",
    "7": "form, structure, and sense",
    "8": "text structure and purpose",
    "9": "transitions",
    "10": "boundaries"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "boundaries": 10,
    "central ideas and details": 4,
    "command of textual evidence": 3,
    "easy": 0,
    "form, structure, and sense": 7,
    "hard": 2,
    "inferences": 5,
    "medium": 1,
    "text structure and purpose": 8,
    "transitions": 9,
    "words in context": 6
  },
  "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",
  "problem_type": "multi_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.38.1",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 50265
}