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--- |
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language: |
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- de |
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- fr |
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- it |
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pipeline_tag: token-classification |
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license: cc-by-sa-4.0 |
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--- |
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# Tagset |
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- O |
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- B-CITATION |
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- I-CITATION |
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- B-LAW |
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- I-LAW |
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# Training |
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- The model was trained with the following hyperparamters: |
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- batch size: 64 |
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- learning_rate: 0.00001 |
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- number of training epochs: 50 (actually trained: 23) |
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- early stopping patience: 5 |
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# Predict scores |
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| \bf metric | \bf score | |
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|---------------------------------|--------------------| |
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| de_predict/_CITATION_f1 | 0.9793131792857794 | |
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| de_predict/_CITATION_precision | 0.9852522282458881 | |
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| de_predict/_CITATION_recall | 0.9734453018610985 | |
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| de_predict/_LAW_f1 | 0.9207842961099632 | |
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| de_predict/_LAW_precision | 0.8598544432559407 | |
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| de_predict/_LAW_recall | 0.9910077594333921 | |
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| de_predict/_accuracy_normalized | 0.9880353522464387 | |
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| de_predict/_macro-f1 | 0.9504272924171073 | |
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| de_predict/_macro-precision | 0.9822265306472453 | |
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| de_predict/_macro-recall | 0.9232171398568052 | |
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| de_predict/_micro-f1 | 0.9405898834091524 | |
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| de_predict/_micro-precision | 0.9849051246865093 | |
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| de_predict/_micro-recall | 0.9000908134288556 | |
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| de_predict/_steps_per_second | 0.549 | |
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| de_predict/_weighted-f1 | 0.939658320951984 | |
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| de_predict/_weighted-precision | 0.9854977355183103 | |
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| de_predict/_weighted-recall | 0.9000908134288556 | |
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| fr_predict/_CITATION_f1 | 0.9554686901203342 | |
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| fr_predict/_CITATION_precision | 0.9684586699813549 | |
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| fr_predict/_CITATION_recall | 0.9428225684465286 | |
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| fr_predict/_LAW_f1 | 0.910095519316377 | |
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| fr_predict/_LAW_precision | 0.8366717393986756 | |
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| fr_predict/_LAW_recall | 0.9976459048553212 | |
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| fr_predict/_accuracy_normalized | 0.9830767480044869 | |
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| fr_predict/_macro-f1 | 0.9330080903677362 | |
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| fr_predict/_macro-precision | 0.9702342366509249 | |
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| fr_predict/_macro-recall | 0.9029739799827206 | |
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| fr_predict/_micro-f1 | 0.920617324580396 | |
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| fr_predict/_micro-precision | 0.9842228065627199 | |
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| fr_predict/_micro-recall | 0.8647338279317974 | |
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| fr_predict/_steps_per_second | 0.593 | |
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| fr_predict/_weighted-f1 | 0.9198669665372888 | |
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| fr_predict/_weighted-precision | 0.9861681830521788 | |
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| fr_predict/_weighted-recall | 0.8647338279317974 | |
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| it_predict/_CITATION_f1 | 0.9703896103896105 | |
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| it_predict/_CITATION_precision | 0.9769874476987448 | |
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| it_predict/_CITATION_recall | 0.9638802889576883 | |
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| it_predict/_LAW_f1 | 0.9099276791584483 | |
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| it_predict/_LAW_precision | 0.8422590068159689 | |
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| it_predict/_LAW_recall | 0.9894195024306548 | |
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| it_predict/_accuracy_normalized | 0.9892137683075134 | |
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| it_predict/_macro-f1 | 0.9413484848298093 | |
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| it_predict/_macro-precision | 0.9766498956941716 | |
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| it_predict/_macro-recall | 0.9119834901073706 | |
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| it_predict/_micro-f1 | 0.9311429570080392 | |
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| it_predict/_micro-precision | 0.9803127874885005 | |
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| it_predict/_micro-recall | 0.8866699950074888 | |
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| it_predict/_steps_per_second | 0.563 | |
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| it_predict/_weighted-f1 | 0.929971077318579 | |
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| it_predict/_weighted-precision | 0.9813271971464931 | |
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| it_predict/_weighted-recall | 0.8866699950074888 | |
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| predict/_CITATION_f1 | 0.973621340187501 | |
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| predict/_CITATION_precision | 0.981138340970977 | |
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| predict/_CITATION_recall | 0.9662186467837405 | |
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| predict/_LAW_f1 | 0.9168199439712499 | |
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| predict/_LAW_precision | 0.8514980289093298 | |
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| predict/_LAW_recall | 0.9929968125536349 | |
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| predict/_accuracy_normalized | 0.986841752305624 | |
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| predict/_macro-f1 | 0.9455976917351873 | |
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| predict/_macro-precision | 0.9796077296686877 | |
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| predict/_macro-recall | 0.9169959471957758 | |
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| predict/_micro-f1 | 0.934344809828224 | |
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| predict/_micro-precision | 0.9844524443053164 | |
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| predict/_micro-recall | 0.8890909776278342 | |
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| predict/_steps_per_second | 0.557 | |
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| predict/_weighted-f1 | 0.9333974918752409 | |
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| predict/_weighted-precision | 0.9854002360022739 | |
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| predict/_weighted-recall | 0.8890909776278342 | |
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| predict_samples | 28218 | |
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