config.json

{
  "architectures": [
    "RobertaForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "classifier_dropout": null,
  "dtype": "float32",
  "eos_token_id": 2,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "B\u0399\u03a9\u03a3\u0399\u039c\u039f\u03a4\u0397\u03a4\u0391",
    "1": "\u03a0\u0395\u03a1\u0399\u0392\u0391\u039b\u039b\u039f\u039d",
    "2": "\u039a\u039b\u0399\u039c\u0391\u03a4\u0399\u039a\u0397 \u0391\u039b\u039b\u0391\u0393\u0397",
    "3": "\u0398\u0395\u03a1\u039c\u039f\u039a\u03a1\u0391\u03a3\u0399\u0391",
    "4": "\u039a\u039b\u0399\u039c\u0391\u03a4\u0399\u039a\u0397 \u039a\u03a1\u0399\u03a3\u0397",
    "5": "\u039a\u039b\u0399\u039c\u0391",
    "6": "\u03a1\u03a5\u03a0\u0391\u039d\u03a3\u0397",
    "7": "\u0395\u039d\u0395\u03a1\u0393\u0395\u0399\u0391"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "B\u0399\u03a9\u03a3\u0399\u039c\u039f\u03a4\u0397\u03a4\u0391": 0,
    "\u0395\u039d\u0395\u03a1\u0393\u0395\u0399\u0391": 7,
    "\u0398\u0395\u03a1\u039c\u039f\u039a\u03a1\u0391\u03a3\u0399\u0391": 3,
    "\u039a\u039b\u0399\u039c\u0391": 5,
    "\u039a\u039b\u0399\u039c\u0391\u03a4\u0399\u039a\u0397 \u0391\u039b\u039b\u0391\u0393\u0397": 2,
    "\u039a\u039b\u0399\u039c\u0391\u03a4\u0399\u039a\u0397 \u039a\u03a1\u0399\u03a3\u0397": 4,
    "\u03a0\u0395\u03a1\u0399\u0392\u0391\u039b\u039b\u039f\u039d": 1,
    "\u03a1\u03a5\u03a0\u0391\u039d\u03a3\u0397": 6
  },
  "layer_norm_eps": 1e-12,
  "max_length": 512,
  "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": "single_label_classification",
  "transformers_version": "4.56.2",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 50265
}