config.json

{
  "_name_or_path": "deepset/gbert-large",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 1024,
  "id2label": {
    "0": "Verehrung",
    "1": "Angst",
    "2": "Leid",
    "3": "Liebe",
    "4": "Freude",
    "5": "Emotionale Bewegtheit",
    "6": "Mitleid",
    "7": "Abscheu",
    "8": "\u00c4rger",
    "9": "Freundschaft",
    "10": "Lust",
    "11": "Verzweiflung",
    "12": "Schadenfreude"
  },
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "label2id": {
    "Abscheu": 7,
    "Angst": 1,
    "Emotionale Bewegtheit": 5,
    "Freude": 4,
    "Freundschaft": 9,
    "Leid": 2,
    "Liebe": 3,
    "Lust": 10,
    "Mitleid": 6,
    "Schadenfreude": 12,
    "Verehrung": 0,
    "Verzweiflung": 11,
    "\u00c4rger": 8
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 16,
  "num_hidden_layers": 24,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.42.4",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 31102
}