{
    "model_type": "ConcatModelWithRationale",
    "hatebert_model": "GroNLP/hateBERT",
    "rationale_model": "bert-base-uncased",
    "cnn_num_filters": 128,
    "cnn_kernel_sizes": [2, 3, 4],
    "adapter_dim": 128,
    "max_length": 128,
    "num_labels": 2,
    "architecture": {
        "temporal_cnn": "TemporalCNN",
        "msa_cnn": "MultiScaleAttentionCNN",
        "projection": "ProjectionMLP"
    },
    "training_info": {
        "batch_size": 8,
        "learning_rate": 1e-5,
        "weight_decay": 0.05,
        "dropout": 0.5,
        "best_val_loss": 0.27
    }
}