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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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widget: |
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- '全国高校科研质量排名，清华北大浙大无缘前五。' |
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model-index: |
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- name: classification_tnews_scarce_imbalanced |
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results: [] |
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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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# classification_tnews_scarce_imbalanced |
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This model is a fine-tuned version of [hfl/chinese-roberta-wwm-ext](https://huggingface.co/hfl/chinese-roberta-wwm-ext) on a very small & imbalanced subset of TNews dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5812 |
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- Accuracy: 0.5867 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 10 |
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- eval_batch_size: 10 |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 2.4743 | 1.0 | 15 | 2.5030 | 0.24 | |
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| 2.1581 | 2.0 | 30 | 2.2729 | 0.4533 | |
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| 1.7781 | 3.0 | 45 | 2.0809 | 0.5267 | |
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| 1.5336 | 4.0 | 60 | 1.9246 | 0.5333 | |
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| 1.2713 | 5.0 | 75 | 1.8133 | 0.54 | |
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| 1.1 | 6.0 | 90 | 1.7276 | 0.5667 | |
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| 0.9569 | 7.0 | 105 | 1.6676 | 0.5733 | |
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| 0.8755 | 8.0 | 120 | 1.6177 | 0.5867 | |
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| 0.7461 | 9.0 | 135 | 1.5917 | 0.5867 | |
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| 0.7229 | 10.0 | 150 | 1.5812 | 0.5867 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.13.0+cu116 |
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- Datasets 2.8.0 |
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- Tokenizers 0.13.2 |
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