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update model card README.md

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+ ---
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - f1
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+ model-index:
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+ - name: bert-base-chinese-finetuned-split
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # bert-base-chinese-finetuned-split
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+
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+ This model is a fine-tuned version of [bert-base-chinese](https://huggingface.co/bert-base-chinese) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0149
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+ - F1: 1.0
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 14
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+ - eval_batch_size: 14
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 20
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 3.9187 | 1.0 | 1 | 2.0505 | 0.0 |
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+ | 2.1256 | 2.0 | 2 | 1.0335 | 0.0 |
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+ | 1.1829 | 3.0 | 3 | 0.5776 | 0.0 |
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+ | 0.6385 | 4.0 | 4 | 0.4856 | 0.0 |
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+ | 0.5098 | 5.0 | 5 | 0.3884 | 0.0 |
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+ | 0.4158 | 6.0 | 6 | 0.2813 | 0.0 |
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+ | 0.3302 | 7.0 | 7 | 0.2339 | 0.0 |
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+ | 0.2741 | 8.0 | 8 | 0.2079 | 0.7826 |
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+ | 0.2314 | 9.0 | 9 | 0.1601 | 0.7826 |
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+ | 0.2039 | 10.0 | 10 | 0.1188 | 0.7826 |
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+ | 0.1463 | 11.0 | 11 | 0.0897 | 0.88 |
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+ | 0.1364 | 12.0 | 12 | 0.0639 | 0.9231 |
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+ | 0.1028 | 13.0 | 13 | 0.0473 | 1.0 |
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+ | 0.0787 | 14.0 | 14 | 0.0404 | 1.0 |
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+ | 0.0555 | 15.0 | 15 | 0.0333 | 1.0 |
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+ | 0.047 | 16.0 | 16 | 0.0251 | 1.0 |
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+ | 0.039 | 17.0 | 17 | 0.0199 | 1.0 |
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+ | 0.0386 | 18.0 | 18 | 0.0174 | 1.0 |
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+ | 0.026 | 19.0 | 19 | 0.0159 | 1.0 |
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+ | 0.0268 | 20.0 | 20 | 0.0149 | 1.0 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.18.0
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+ - Pytorch 1.12.0+cu102
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+ - Datasets 1.18.4
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+ - Tokenizers 0.12.1