config.json

{
  "_name_or_path": "albert-base-v2",
  "architectures": [
    "AlbertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0,
  "bos_token_id": 2,
  "classifier_dropout_prob": 0.1,
  "down_scale_factor": 1,
  "embedding_size": 128,
  "eos_token_id": 3,
  "gap_size": 0,
  "hidden_act": "gelu_new",
  "hidden_dropout_prob": 0,
  "hidden_size": 768,
  "id2label": {
    "0": "1.1 threats of harm",
    "1": "1.2 incitement and encouragement of harm",
    "2": "2.1 descriptive attacks",
    "3": "2.2 aggressive and emotive attacks",
    "4": "2.3 dehumanising attacks & overt sexual objectification",
    "5": "3.1 casual use of gendered slurs, profanities, and insults",
    "6": "3.2 immutable gender differences and gender stereotypes",
    "7": "3.3 backhanded gendered compliments",
    "8": "3.4 condescending explanations or unwelcome advice",
    "9": "4.1 supporting mistreatment of individual women",
    "10": "4.2 supporting systemic discrimination against women as a group"
  },
  "initializer_range": 0.02,
  "inner_group_num": 1,
  "intermediate_size": 3072,
  "label2id": {
    "1.1 threats of harm": 0,
    "1.2 incitement and encouragement of harm": 1,
    "2.1 descriptive attacks": 2,
    "2.2 aggressive and emotive attacks": 3,
    "2.3 dehumanising attacks & overt sexual objectification": 4,
    "3.1 casual use of gendered slurs, profanities, and insults": 5,
    "3.2 immutable gender differences and gender stereotypes": 6,
    "3.3 backhanded gendered compliments": 7,
    "3.4 condescending explanations or unwelcome advice": 8,
    "4.1 supporting mistreatment of individual women": 9,
    "4.2 supporting systemic discrimination against women as a group": 10
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "albert",
  "net_structure_type": 0,
  "num_attention_heads": 12,
  "num_hidden_groups": 1,
  "num_hidden_layers": 12,
  "num_memory_blocks": 0,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.24.0",
  "type_vocab_size": 2,
  "vocab_size": 30000
}