config.json

{
  "_name_or_path": "saved/roformer_l2_embedding",
  "architectures": [
    "RoFormerModel"
  ],
  "attention_probs_dropout_prob": 0.1,
  "embedding_size": 768,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 1536,
  "model_type": "roformer",
  "num_attention_heads": 12,
  "num_hidden_layers": 2,
  "pad_token_id": 0,
  "problem_type": "single_label_classification",
  "rotary_value": false,
  "torch_dtype": "float32",
  "transformers_version": "4.39.3",
  "type_vocab_size": 2,
  "uniem_pooling_strategy": "last_mean",
  "use_cache": true,
  "vocab_size": 50000
}