ViGLUE
Collection
A collection to store all the artifacts of the paper: ViGLUE: A Vietnamese General Language Understanding Benchmark and Analysis of Vietnamese LMs.
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145 items
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Updated
This model is a fine-tuned version of bert-base-multilingual-cased on the tmnam20/VieGLUE/QQP dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Combined Score |
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0.3417 | 0.44 | 5000 | 0.3198 | 0.8578 | 0.8057 | 0.8317 |
0.2998 | 0.88 | 10000 | 0.2908 | 0.8724 | 0.8252 | 0.8488 |
0.2629 | 1.32 | 15000 | 0.2970 | 0.8763 | 0.8300 | 0.8532 |
0.2269 | 1.76 | 20000 | 0.2874 | 0.8845 | 0.8405 | 0.8625 |
0.1933 | 2.2 | 25000 | 0.2962 | 0.8867 | 0.8470 | 0.8669 |
0.1752 | 2.64 | 30000 | 0.3174 | 0.8895 | 0.8497 | 0.8696 |
Base model
google-bert/bert-base-multilingual-cased