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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-3
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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-3
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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: 3.3828
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- Rouge1: 32.8203
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- Rouge2: 7.8994
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- Rougel: 18.9659
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- Rougelsum: 29.4196
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- Gen Len: 114.5264
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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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| 3.9049 | 1.0 | 132 | 3.5343 | 30.2542 | 6.031 | 17.269 | 26.9847 | 113.7689 |
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| 3.4248 | 2.0 | 264 | 3.4055 | 31.6518 | 7.2786 | 18.2641 | 28.4006 | 114.6547 |
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| 3.1594 | 3.0 | 396 | 3.3579 | 32.0442 | 7.3554 | 18.3492 | 28.7615 | 113.7443 |
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| 2.9645 | 4.0 | 528 | 3.3445 | 32.0945 | 7.637 | 18.6289 | 28.899 | 115.5321 |
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| 2.8073 | 5.0 | 660 | 3.3470 | 32.7852 | 7.9597 | 19.2358 | 29.5057 | 108.3519 |
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| 2.685 | 6.0 | 792 | 3.3532 | 32.3775 | 7.661 | 18.6719 | 28.9282 | 117.1104 |
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| 2.5941 | 7.0 | 924 | 3.3711 | 32.6976 | 7.8917 | 19.069 | 29.3785 | 113.1943 |
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| 2.5267 | 8.0 | 1056 | 3.3828 | 32.8203 | 7.8994 | 18.9659 | 29.4196 | 114.5264 |
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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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