{
    "bottleneck_dim": 24,
    "dataset_config_name": [
        "en"
    ],
    "delta_type": "adapter",
    "do_eval": true,
    "do_test": true,
    "do_train": true,
    "eval_dataset_config_name": [
        "en"
    ],
    "eval_dataset_name": "qqp",
    "eval_steps": 200,
    "evaluation_strategy": "steps",
    "greater_is_better": true,
    "learning_rate": 0.0003,
    "load_best_model_at_end": true,
    "max_source_length": 128,
    "metric_for_best_model": "eval_accuracy",
    "model_name_or_path": "roberta-base",
    "num_train_epochs": 3,
    "output_dir": "outputs/adapter/roberta-base/qqp",
    "overwrite_output_dir": true,
    "per_device_eval_batch_size": 32,
    "per_device_train_batch_size": 32,
    "predict_with_generate": true,
    "push_to_hub": true,
    "save_steps": 200,
    "save_strategy": "steps",
    "save_total_limit": 1,
    "seed": 42,
    "task_name": "qqp",
    "test_dataset_config_name": [
        "en"
    ],
    "test_dataset_name": "qqp",
    "tokenizer_name": "roberta-base",
    "unfrozen_modules": [
        "deltas",
        "layer_norm",
        "final_layer_norm",
        "classifier"
    ],
    "warmup_steps": 0
}