upload meta.json
Browse files
meta.json
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{
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"task": "edge_prediction",
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"base_model": "xlm-roberta-base",
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"problem_type": "binary_classification",
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"num_labels": 1,
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"input_format": "<s> {entry text} </s></s> [N1] {label} ({type}, {polarity}, {time}) [/N1] </s> [N2] {label} ({type}, {polarity}, {time}) [/N2] </s>",
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"threshold": 0.39000000000000007,
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"test": {
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"accuracy": 0.7652652266903023,
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"precision": 0.8042968922682463,
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"recall": 0.7011310429873407,
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"f1": 0.7491790284226022,
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"roc_auc": 0.8122612809236298,
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"n_pos_pred": 45242,
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"n_pos_true": 51899,
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"n_total": 103798
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},
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"test_per_language": {
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"de": {
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"accuracy": 0.7658305800473109,
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"precision": 0.8069089277703005,
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"recall": 0.7009353078721746,
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"f1": 0.7501981230448383,
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"roc_auc": 0.8119984081616016,
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"n_pos_pred": 22290,
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"n_pos_true": 25660,
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"n_total": 51151
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},
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"en": {
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"accuracy": 0.7647159382300985,
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"precision": 0.8017601951899617,
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"recall": 0.7013224589351729,
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"f1": 0.7481856437153138,
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"roc_auc": 0.812477490892189,
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"n_pos_pred": 22952,
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"n_pos_true": 26239,
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"n_total": 52647
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}
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},
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"training": {
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"loss": "bce_with_logits",
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"negatives": "hard",
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"lr": 2e-05,
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"epochs": 5,
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"seed": 42,
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"max_len": 256,
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"train_entry_frac": 1.0
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}
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}
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