config.json

{
  "_name_or_path": "xlm-roberta-base",
  "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": 768,
  "id2label": {
    "0": "ambience#conflict",
    "1": "ambience#negative",
    "2": "ambience#neutral",
    "3": "ambience#positive",
    "4": "anecdotes/miscellaneous#conflict",
    "5": "anecdotes/miscellaneous#negative",
    "6": "anecdotes/miscellaneous#neutral",
    "7": "anecdotes/miscellaneous#positive",
    "8": "food#conflict",
    "9": "food#negative",
    "10": "food#neutral",
    "11": "food#positive",
    "12": "price#conflict",
    "13": "price#negative",
    "14": "price#neutral",
    "15": "price#positive",
    "16": "service#conflict",
    "17": "service#negative",
    "18": "service#neutral",
    "19": "service#positive"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "ambience#conflict": 0,
    "ambience#negative": 1,
    "ambience#neutral": 2,
    "ambience#positive": 3,
    "anecdotes/miscellaneous#conflict": 4,
    "anecdotes/miscellaneous#negative": 5,
    "anecdotes/miscellaneous#neutral": 6,
    "anecdotes/miscellaneous#positive": 7,
    "food#conflict": 8,
    "food#negative": 9,
    "food#neutral": 10,
    "food#positive": 11,
    "price#conflict": 12,
    "price#negative": 13,
    "price#neutral": 14,
    "price#positive": 15,
    "service#conflict": 16,
    "service#negative": 17,
    "service#neutral": 18,
    "service#positive": 19
  },
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 514,
  "model_type": "xlm-roberta",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "output_past": true,
  "pad_token_id": 1,
  "position_embedding_type": "absolute",
  "problem_type": "multi_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.35.2",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 250002
}