config.json

{
  "architectures": [
    "XLMRobertaForSequenceClassification"
  ],
  "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": 1024,
  "id2label": {
    "0": "119",
    "1": "191",
    "2": "161",
    "3": "116",
    "4": "163",
    "5": "147",
    "6": "120",
    "7": "158",
    "8": "179",
    "9": "157"
  },
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "label2id": {
    "116": 3,
    "119": 0,
    "120": 6,
    "147": 5,
    "157": 9,
    "158": 7,
    "161": 2,
    "163": 4,
    "179": 8,
    "191": 1
  },
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 8194,
  "model_type": "xlm-roberta",
  "num_attention_heads": 16,
  "num_hidden_layers": 24,
  "output_past": true,
  "pad_token_id": 1,
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.53.2",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 46166
}