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xoyeop
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KcELECTRA-base-v2022-KEmoFact-0925

Token Classification
Transformers
PyTorch
electra
Generated from Trainer
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@@ -20,13 +20,13 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [beomi/KcELECTRA-base-v2022](https://huggingface.co/beomi/KcELECTRA-base-v2022) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0671
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- - Precision: 0.2272
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- - Recall: 0.2813
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- - F1: 0.2514
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- - Accuracy: 0.7244
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- - Jaccard Scores: 0.7016
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- - Cls Accuracy: 0.6433
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  ## Model description
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@@ -57,11 +57,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | Jaccard Scores | Cls Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|:--------------:|:------------:|
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- | No log | 1.0 | 414 | 1.0860 | 0.1223 | 0.1235 | 0.1229 | 0.7113 | 0.5185 | 0.4574 |
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- | 1.405 | 2.0 | 828 | 0.9584 | 0.1670 | 0.2076 | 0.1851 | 0.7275 | 0.6476 | 0.6001 |
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- | 0.8557 | 3.0 | 1242 | 0.9666 | 0.1887 | 0.2312 | 0.2078 | 0.7286 | 0.6656 | 0.6134 |
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- | 0.6123 | 4.0 | 1656 | 1.0142 | 0.2122 | 0.2538 | 0.2311 | 0.7321 | 0.6794 | 0.6346 |
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- | 0.4582 | 5.0 | 2070 | 1.0391 | 0.2069 | 0.2549 | 0.2284 | 0.7260 | 0.6787 | 0.6358 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [beomi/KcELECTRA-base-v2022](https://huggingface.co/beomi/KcELECTRA-base-v2022) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.3810
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+ - Precision: 0.2344
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+ - Recall: 0.2824
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+ - F1: 0.2562
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+ - Accuracy: 0.7161
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+ - Jaccard Scores: 0.6958
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+ - Cls Accuracy: 0.6348
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | Jaccard Scores | Cls Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|:--------------:|:------------:|
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+ | No log | 1.0 | 414 | 1.0972 | 0.2070 | 0.2510 | 0.2269 | 0.7237 | 0.6675 | 0.6273 |
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+ | 0.4703 | 2.0 | 828 | 1.1390 | 0.2038 | 0.2510 | 0.2249 | 0.7180 | 0.6755 | 0.6195 |
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+ | 0.3437 | 3.0 | 1242 | 1.2184 | 0.1977 | 0.2510 | 0.2212 | 0.7121 | 0.6756 | 0.6340 |
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+ | 0.2478 | 4.0 | 1656 | 1.2727 | 0.2035 | 0.2572 | 0.2272 | 0.7167 | 0.6779 | 0.6407 |
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+ | 0.1769 | 5.0 | 2070 | 1.3348 | 0.2098 | 0.2572 | 0.2311 | 0.7209 | 0.6772 | 0.6407 |
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  ### Framework versions