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@@ -63,6 +63,22 @@ The following hyperparameters were used during training:
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  | 0.2646 | 1.69 | 400 | 0.4425 | 0.8113 | 0.8121 | 0.8126 | 0.8121 | 0.8108 | 0.8126 | 0.8121 | 0.8121 |
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  | 0.1961 | 2.54 | 600 | 0.5222 | 0.8131 | 0.8147 | 0.8129 | 0.8147 | 0.8135 | 0.8129 | 0.8147 | 0.8147 |
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  ### Framework versions
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  | 0.2646 | 1.69 | 400 | 0.4425 | 0.8113 | 0.8121 | 0.8126 | 0.8121 | 0.8108 | 0.8126 | 0.8121 | 0.8121 |
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  | 0.1961 | 2.54 | 600 | 0.5222 | 0.8131 | 0.8147 | 0.8129 | 0.8147 | 0.8135 | 0.8129 | 0.8147 | 0.8147 |
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+ ### eval result
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+ |Datasets|asadfgglie/nli-zh-tw-all/test|asadfgglie/BanBan_2024-10-17-facial_expressions-nli/test|eval_dataset|test_dataset|
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+ | :---: | :---: | :---: | :---: | :---: |
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+ |eval_loss|0.541|0.26|0.517|0.512|
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+ |eval_f1_macro|0.809|0.918|0.814|0.822|
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+ |eval_f1_micro|0.81|0.918|0.815|0.822|
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+ |eval_accuracy_balanced|0.809|0.918|0.815|0.822|
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+ |eval_accuracy|0.81|0.918|0.815|0.822|
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+ |eval_precision_macro|0.809|0.918|0.814|0.821|
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+ |eval_recall_macro|0.809|0.918|0.815|0.822|
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+ |eval_precision_micro|0.81|0.918|0.815|0.822|
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+ |eval_recall_micro|0.81|0.918|0.815|0.822|
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+ |eval_runtime|50.676|0.617|11.139|44.314|
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+ |eval_samples_per_second|167.732|1532.353|169.579|170.532|
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+ |eval_steps_per_second|2.625|24.297|2.693|2.685|
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+ |Size of dataset|8500|946|1889|7557|
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  ### Framework versions
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