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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-cnn-12-6-eval-test-2 |
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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-cnn-12-6-eval-test-2 |
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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: 4.7250 |
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- Rouge1: 31.3552 |
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- Rouge2: 4.2825 |
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- Rougel: 15.1982 |
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- Rougelsum: 27.9577 |
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- Gen Len: 139.0 |
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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: 1 |
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- eval_batch_size: 1 |
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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: 5 |
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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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| 4.4419 | 1.0 | 80 | 4.2847 | 30.8184 | 4.024 | 15.5589 | 27.647 | 133.6 | |
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| 3.5861 | 2.0 | 160 | 4.2721 | 30.7823 | 3.7736 | 14.992 | 28.0105 | 137.1 | |
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| 2.9885 | 3.0 | 240 | 4.4295 | 30.4747 | 3.8971 | 15.6055 | 27.9916 | 135.5 | |
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| 2.5254 | 4.0 | 320 | 4.5978 | 31.0505 | 4.1062 | 14.7292 | 27.9009 | 134.2 | |
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| 2.2404 | 5.0 | 400 | 4.7250 | 31.3552 | 4.2825 | 15.1982 | 27.9577 | 139.0 | |
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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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