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--- |
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license: apache-2.0 |
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tags: |
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- summarisation |
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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: bert-small2bert-small-finetuned-cnn_daily_mail-summarization-finetuned-bbc-news-Sumy |
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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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# bert-small2bert-small-finetuned-cnn_daily_mail-summarization-finetuned-bbc-news-Sumy |
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This model is a fine-tuned version of [mrm8488/bert-small2bert-small-finetuned-cnn_daily_mail-summarization](https://huggingface.co/mrm8488/bert-small2bert-small-finetuned-cnn_daily_mail-summarization) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5583 |
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- Rouge1: 55.2899 |
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- Rouge2: 43.2426 |
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- Rougel: 38.5056 |
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- Rougelsum: 53.8807 |
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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: 5.6e-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: 8 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:| |
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| 1.7407 | 1.0 | 223 | 1.5900 | 51.3058 | 38.3952 | 35.7343 | 49.7129 | |
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| 1.4813 | 2.0 | 446 | 1.5500 | 53.8089 | 41.2455 | 37.3864 | 52.3387 | |
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| 1.3517 | 3.0 | 669 | 1.5429 | 53.4914 | 40.907 | 37.1428 | 52.0338 | |
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| 1.2432 | 4.0 | 892 | 1.5472 | 54.1139 | 41.3589 | 37.6392 | 52.711 | |
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| 1.1748 | 5.0 | 1115 | 1.5426 | 55.3482 | 43.312 | 38.0625 | 54.0424 | |
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| 1.1108 | 6.0 | 1338 | 1.5529 | 55.4752 | 43.3561 | 38.5813 | 54.1141 | |
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| 1.0745 | 7.0 | 1561 | 1.5539 | 55.705 | 43.6772 | 38.7629 | 54.3892 | |
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| 1.0428 | 8.0 | 1784 | 1.5583 | 55.2899 | 43.2426 | 38.5056 | 53.8807 | |
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### Framework versions |
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- Transformers 4.21.0 |
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- Pytorch 1.12.0+cu113 |
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- Datasets 2.4.0 |
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- Tokenizers 0.12.1 |
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