config.json

{
  "_name_or_path": "AutoTrain",
  "_num_labels": 10,
  "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": 1024,
  "id2label": {
    "0": "disrespect",
    "1": "disturbing",
    "2": "drugs",
    "3": "filterbypass",
    "4": "inappropriate",
    "5": "ok",
    "6": "politics",
    "7": "spam",
    "8": "testcontent",
    "9": "threat"
  },
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "label2id": {
    "disrespect": 0,
    "disturbing": 1,
    "drugs": 2,
    "filterbypass": 3,
    "inappropriate": 4,
    "ok": 5,
    "politics": 6,
    "spam": 7,
    "testcontent": 8,
    "threat": 9
  },
  "layer_norm_eps": 1e-05,
  "max_length": 128,
  "max_position_embeddings": 514,
  "model_type": "roberta",
  "num_attention_heads": 16,
  "num_hidden_layers": 24,
  "pad_token_id": 1,
  "padding": "max_length",
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.22.1",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 50265
}