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--- |
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license: mit |
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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-cnn-finetuned-roundup-4-8 |
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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-cnn-finetuned-roundup-4-8 |
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This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7882 |
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- Rouge1: 54.2292 |
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- Rouge2: 37.3874 |
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- Rougel: 40.3261 |
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- Rougelsum: 52.2155 |
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- Gen Len: 141.8889 |
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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: 2 |
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- eval_batch_size: 2 |
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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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- 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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| No log | 1.0 | 398 | 0.9442 | 53.1634 | 33.7744 | 35.5688 | 50.7523 | 142.0 | |
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| 1.1285 | 2.0 | 796 | 0.8305 | 54.0713 | 35.7079 | 37.5147 | 51.6285 | 142.0 | |
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| 0.6796 | 3.0 | 1194 | 0.7735 | 52.6656 | 34.0198 | 36.8075 | 50.1502 | 142.0 | |
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| 0.4572 | 4.0 | 1592 | 0.7759 | 53.6269 | 35.4308 | 38.3735 | 51.1369 | 141.7222 | |
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| 0.4572 | 5.0 | 1990 | 0.7527 | 54.4206 | 36.0907 | 38.0818 | 51.7885 | 142.0 | |
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| 0.3171 | 6.0 | 2388 | 0.7755 | 54.9642 | 38.0459 | 41.6383 | 52.8847 | 142.0 | |
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| 0.2269 | 7.0 | 2786 | 0.7801 | 54.1637 | 35.9853 | 39.5262 | 51.6562 | 142.0 | |
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| 0.1686 | 8.0 | 3184 | 0.7882 | 54.2292 | 37.3874 | 40.3261 | 52.2155 | 141.8889 | |
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### Framework versions |
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- Transformers 4.18.0 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.1.0 |
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- Tokenizers 0.12.1 |
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