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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: distilbart-podimo-data-eval-1 |
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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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# distilbart-podimo-data-eval-1 |
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This model is a fine-tuned version of [sshleifer/distilbart-cnn-12-6](https://huggingface.co/sshleifer/distilbart-cnn-12-6) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.3983 |
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- Rouge1: 34.6132 |
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- Rouge2: 7.9113 |
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- Rougel: 17.9418 |
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- Rougelsum: 31.5251 |
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- Gen Len: 141.5587 |
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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: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 64 |
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- total_train_batch_size: 64 |
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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 | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:--------:| |
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| 4.1934 | 0.98 | 44 | 3.7592 | 32.8148 | 6.457 | 16.8696 | 29.6986 | 141.4441 | |
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| 3.6362 | 1.98 | 88 | 3.5809 | 33.0442 | 6.851 | 17.1323 | 30.1382 | 141.324 | |
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| 3.3554 | 2.98 | 132 | 3.4835 | 33.66 | 7.1375 | 17.5152 | 30.5783 | 141.2793 | |
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| 3.1566 | 3.98 | 176 | 3.4301 | 34.524 | 7.757 | 17.995 | 31.5808 | 141.7151 | |
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| 3.0107 | 4.98 | 220 | 3.4099 | 34.3459 | 7.7512 | 18.0605 | 31.4531 | 141.4106 | |
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| 2.901 | 5.98 | 264 | 3.4073 | 35.028 | 7.9099 | 17.9907 | 31.8304 | 141.5419 | |
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| 2.8246 | 6.98 | 308 | 3.3983 | 34.1937 | 7.8606 | 17.7858 | 31.1331 | 141.5279 | |
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| 2.7306 | 7.98 | 352 | 3.3983 | 34.6132 | 7.9113 | 17.9418 | 31.5251 | 141.5587 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.11.0 |
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- Datasets 2.2.1 |
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- Tokenizers 0.12.1 |
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