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--- |
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tags: |
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- generated_from_trainer |
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datasets: |
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- samsum |
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metrics: |
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- rouge |
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model-index: |
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- name: bert-base-cased-samsum |
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results: |
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- task: |
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name: Sequence-to-sequence Language Modeling |
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type: text2text-generation |
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dataset: |
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name: samsum |
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type: samsum |
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config: samsum |
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split: test |
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args: samsum |
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metrics: |
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- name: Rouge1 |
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type: rouge |
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value: 34.9636 |
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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-base-cased-samsum |
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This model is a fine-tuned version of [](https://huggingface.co/) on the samsum dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.7369 |
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- Rouge1: 34.9636 |
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- Rouge2: 10.6358 |
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- Rougel: 27.6003 |
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- Rougelsum: 30.9654 |
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- Gen Len: 17.6020 |
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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: 5e-05 |
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- train_batch_size: 36 |
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- eval_batch_size: 36 |
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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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| |
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| No log | 1.0 | 410 | 2.9218 | 29.2936 | 7.4008 | 23.9609 | 26.3194 | 17.2332 | |
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| 2.6834 | 2.0 | 820 | 2.7635 | 31.9826 | 8.9758 | 26.1311 | 28.7458 | 16.9866 | |
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| 2.3529 | 3.0 | 1230 | 2.7369 | 34.9636 | 10.6358 | 27.6003 | 30.9654 | 17.6020 | |
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| 1.9608 | 4.0 | 1640 | 2.7711 | 35.8322 | 11.3676 | 29.0276 | 32.2881 | 16.9133 | |
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| 1.6459 | 5.0 | 2050 | 2.7832 | 36.8688 | 11.8883 | 29.3721 | 32.8683 | 17.0879 | |
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| 1.6459 | 6.0 | 2460 | 2.8334 | 36.489 | 11.5372 | 29.2263 | 32.5406 | 17.8901 | |
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| 1.3791 | 7.0 | 2870 | 2.8767 | 37.0743 | 11.8554 | 29.4063 | 32.7543 | 17.6093 | |
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| 1.1687 | 8.0 | 3280 | 2.9232 | 37.2 | 11.8723 | 29.5194 | 32.9481 | 17.6581 | |
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| 1.0249 | 9.0 | 3690 | 2.9456 | 37.1872 | 12.0958 | 29.621 | 33.0073 | 17.8840 | |
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| 0.9259 | 10.0 | 4100 | 2.9719 | 37.1213 | 12.1068 | 29.5138 | 33.0372 | 17.8278 | |
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### Framework versions |
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- Transformers 4.34.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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