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eventnet-ita

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eventnet-ita
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{
    "batching": {
        "batch_size": 64,
        "max_tokens": 1024,
        "sampling_smoothing": 1,
        "sort_by_size": true
    },
    "decoders": {
        "classification": {},
        "default_decoder": {
            "layers_to_use": [
                -1
            ],
            "loss_weight": 1,
            "metric": "accuracy",
            "topn": 1
        },
        "dependency": {
            "arc_representation_dim": 768,
            "metric": "las",
            "tag_representation_dim": 256
        },
        "mlm": {
            "metric": "perplexity"
        },
        "multiclas": {
            "metric": "multi_acc",
            "threshold": 0.7
        },
        "multiseq": {
            "metric": "multi_acc",
            "threshold": 0.7
        },
        "regression": {
            "metric": "avg_dist"
        },
        "seq": {},
        "seq_bio": {
            "metric": "span_f1"
        },
        "string2string": {},
        "tok": {
            "pre_split": true
        }
    },
    "default_dec_dataset_embeds_dim": 12,
    "encoder": {
        "dropout": 0.2,
        "max_input_length": 64,
        "update_weights_encoder": true
    },
    "random_seed": 8446,
    "training": {
        "keep_top_n": 1,
        "learning_rate_scheduler": {
            "cut_frac": 0.3,
            "decay_factor": 0.38,
            "discriminative_fine_tuning": true,
            "gradual_unfreezing": true
        },
        "num_epochs": 50,
        "optimizer": {
            "betas": [
                0.9,
                0.99
            ],
            "correct_bias": false,
            "lr": 0.0015,
            "weight_decay": 0.01
        }
    },
    "transformer_model": "dbmdz/bert-base-italian-xxl-cased"
}