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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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- rouge |
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model-index: |
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- name: bart-large-chinese-cnhdwriter |
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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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# bart-large-chinese-cnhdwriter |
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This model is a fine-tuned version of [fnlp/bart-large-chinese](https://huggingface.co/fnlp/bart-large-chinese) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7252 |
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- Rouge1: 15.5844 |
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- Rouge2: 2.1522 |
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- Rougel: 15.5443 |
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- Rougelsum: 15.5603 |
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- Gen Len: 19.3469 |
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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: 1 |
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- eval_batch_size: 1 |
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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: 5 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
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|:-------------:|:-----:|:------:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:| |
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| 1.2431 | 1.0 | 32000 | 1.1646 | 15.6512 | 2.0244 | 15.6212 | 15.6283 | 18.7906 | |
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| 0.8739 | 2.0 | 64000 | 1.1694 | 15.5784 | 2.255 | 15.5413 | 15.5504 | 19.2405 | |
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| 0.6178 | 3.0 | 96000 | 1.2520 | 15.5932 | 2.2286 | 15.5458 | 15.5546 | 19.3576 | |
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| 0.4016 | 4.0 | 128000 | 1.5014 | 15.3701 | 2.0511 | 15.3595 | 15.3654 | 19.2426 | |
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| 0.235 | 5.0 | 160000 | 1.7252 | 15.5844 | 2.1522 | 15.5443 | 15.5603 | 19.3469 | |
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### Framework versions |
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- Transformers 4.15.0 |
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- Pytorch 1.10.0+cu111 |
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- Datasets 1.17.0 |
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- Tokenizers 0.10.3 |
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