{
  "attn_implementation": "flash_attention_2",
  "connection_type": "ff",
  "dropout": 0.1,
  "encoder_backbone_type": "mistral",
  "encoder_lora_name": "encoder_lora",
  "encoder_lora_target_modules": "all",
  "encoder_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
  "is_freeze_encoder": true,
  "is_freeze_universal_learner": false,
  "loar_r": 16,
  "lora_alpha": 32,
  "num_added_tokens": 0,
  "pooling_method": "mean",
  "universal_learner_backbone_type": "xlm-r",
  "universal_learner_lora_name": "universal_learner_lora",
  "universal_learner_lora_target_modules": "all",
  "universal_learner_name_or_path": "Hieuman/xlm-aligned-for-mistral-v0.3"
}