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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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- rouge |
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model-index: |
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- name: BART_corrector_15 |
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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_corrector_15 |
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This model is a fine-tuned version of [ainize/bart-base-cnn](https://huggingface.co/ainize/bart-base-cnn) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0214 |
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- Rouge1: 80.3263 |
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- Rouge2: 78.1274 |
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- Rougel: 80.3215 |
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- Rougelsum: 80.3039 |
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- Gen Len: 19.3993 |
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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: 8 |
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- eval_batch_size: 8 |
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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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| 0.0597 | 1.0 | 2365 | 0.0367 | 79.3503 | 76.3308 | 79.32 | 79.3005 | 19.3992 | |
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| 0.0322 | 2.0 | 4730 | 0.0276 | 79.9515 | 77.4211 | 79.9331 | 79.9164 | 19.3983 | |
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| 0.0212 | 3.0 | 7095 | 0.0241 | 80.1413 | 77.8084 | 80.129 | 80.1098 | 19.3992 | |
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| 0.0148 | 4.0 | 9460 | 0.0219 | 80.2625 | 78.035 | 80.2579 | 80.2372 | 19.4 | |
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| 0.0111 | 5.0 | 11825 | 0.0214 | 80.3263 | 78.1274 | 80.3215 | 80.3039 | 19.3993 | |
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### Framework versions |
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- Transformers 4.21.1 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.4.0 |
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- Tokenizers 0.12.1 |
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