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eunyounglee
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degree-bert-finetuning-2

Text Classification
Transformers
PyTorch
Safetensors
bert
Generated from Trainer
Inference Endpoints
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eunyounglee commited on
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End of training

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  1. README.md +18 -18
  2. model.safetensors +1 -1
README.md CHANGED
@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [klue/bert-base](https://huggingface.co/klue/bert-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6108
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  - Accuracy: 0.698
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  - F1: 0.6968
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@@ -54,23 +54,23 @@ The following hyperparameters were used during training:
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  | 1.06 | 1.0 | 104 | 0.8187 | 0.61 | 0.6100 |
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  | 0.849 | 2.0 | 208 | 0.7525 | 0.642 | 0.6415 |
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  | 0.8117 | 3.0 | 312 | 0.7479 | 0.616 | 0.6044 |
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- | 0.7758 | 4.0 | 416 | 0.7267 | 0.652 | 0.6489 |
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- | 0.7639 | 5.0 | 520 | 0.6963 | 0.672 | 0.6721 |
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- | 0.7412 | 6.0 | 624 | 0.6840 | 0.676 | 0.6739 |
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- | 0.7338 | 7.0 | 728 | 0.6653 | 0.692 | 0.6922 |
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- | 0.723 | 8.0 | 832 | 0.6501 | 0.676 | 0.6733 |
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- | 0.7047 | 9.0 | 936 | 0.6413 | 0.672 | 0.6681 |
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- | 0.6976 | 10.0 | 1040 | 0.6331 | 0.686 | 0.6852 |
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- | 0.6913 | 11.0 | 1144 | 0.6357 | 0.684 | 0.6826 |
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- | 0.6875 | 12.0 | 1248 | 0.6232 | 0.704 | 0.7044 |
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- | 0.672 | 13.0 | 1352 | 0.6231 | 0.7 | 0.6997 |
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- | 0.6732 | 14.0 | 1456 | 0.6252 | 0.678 | 0.6736 |
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- | 0.6699 | 15.0 | 1560 | 0.6125 | 0.704 | 0.7042 |
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- | 0.6591 | 16.0 | 1664 | 0.6195 | 0.688 | 0.6853 |
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- | 0.6531 | 17.0 | 1768 | 0.6071 | 0.708 | 0.7082 |
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- | 0.6528 | 18.0 | 1872 | 0.6094 | 0.704 | 0.7041 |
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- | 0.6514 | 19.0 | 1976 | 0.6124 | 0.7 | 0.6985 |
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- | 0.6405 | 20.0 | 2080 | 0.6108 | 0.698 | 0.6968 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [klue/bert-base](https://huggingface.co/klue/bert-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6113
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  - Accuracy: 0.698
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  - F1: 0.6968
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  | 1.06 | 1.0 | 104 | 0.8187 | 0.61 | 0.6100 |
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  | 0.849 | 2.0 | 208 | 0.7525 | 0.642 | 0.6415 |
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  | 0.8117 | 3.0 | 312 | 0.7479 | 0.616 | 0.6044 |
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+ | 0.7757 | 4.0 | 416 | 0.7266 | 0.652 | 0.6489 |
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+ | 0.7638 | 5.0 | 520 | 0.6960 | 0.674 | 0.6742 |
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+ | 0.7412 | 6.0 | 624 | 0.6845 | 0.676 | 0.6739 |
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+ | 0.7338 | 7.0 | 728 | 0.6655 | 0.692 | 0.6922 |
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+ | 0.723 | 8.0 | 832 | 0.6500 | 0.676 | 0.6733 |
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+ | 0.7047 | 9.0 | 936 | 0.6415 | 0.672 | 0.6681 |
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+ | 0.6979 | 10.0 | 1040 | 0.6333 | 0.686 | 0.6852 |
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+ | 0.6911 | 11.0 | 1144 | 0.6360 | 0.684 | 0.6825 |
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+ | 0.6877 | 12.0 | 1248 | 0.6239 | 0.704 | 0.7044 |
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+ | 0.6718 | 13.0 | 1352 | 0.6238 | 0.698 | 0.6978 |
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+ | 0.6732 | 14.0 | 1456 | 0.6257 | 0.678 | 0.6736 |
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+ | 0.6699 | 15.0 | 1560 | 0.6129 | 0.704 | 0.7042 |
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+ | 0.6592 | 16.0 | 1664 | 0.6201 | 0.688 | 0.6853 |
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+ | 0.653 | 17.0 | 1768 | 0.6075 | 0.706 | 0.7062 |
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+ | 0.6528 | 18.0 | 1872 | 0.6099 | 0.704 | 0.7040 |
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+ | 0.6512 | 19.0 | 1976 | 0.6129 | 0.7 | 0.6985 |
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+ | 0.6405 | 20.0 | 2080 | 0.6113 | 0.698 | 0.6968 |
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  ### Framework versions
model.safetensors CHANGED
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