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README.md
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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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