text_encoder/config.json

{
  "_name_or_path": "xlm-roberta-large",
  "architectures": [
    "RobertaSeriesModelWithTransformation"
  ],
  "attention_probs_dropout_prob": 0.0,
  "bos_token_id": 0,
  "classifier_dropout": null,
  "eos_token_id": 2,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.0,
  "hidden_size": 1024,
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "layer_norm_eps": 1e-05,
  "learn_encoder": false,
  "max_position_embeddings": 514,
  "model_type": "xlm-roberta",
  "num_attention_heads": 16,
  "num_hidden_layers": 24,
  "output_past": true,
  "pad_token_id": 1,
  "pooler_fn": "cls",
  "position_embedding_type": "absolute",
  "project_dim": 1024,
  "torch_dtype": "float32",
  "transformers_version": "4.24.0.dev0",
  "type_vocab_size": 1,
  "use_attention_mask": true,
  "use_cache": true,
  "vocab_size": 250002,
  "has_pre_transformation": true
}