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--- |
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license: apache-2.0 |
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base_model: sshleifer/distilbart-cnn-6-6 |
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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: plain-bart-on-presummarized-tod-wcep |
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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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# plain-bart-on-presummarized-tod-wcep |
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This model is a fine-tuned version of [sshleifer/distilbart-cnn-6-6](https://huggingface.co/sshleifer/distilbart-cnn-6-6) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.3043 |
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- Rouge1: 34.5939 |
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- Rouge2: 13.9925 |
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- Rougel: 24.4982 |
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- Rougelsum: 27.7893 |
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- Gen Len: 66.2392 |
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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: 16 |
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- eval_batch_size: 16 |
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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: 3 |
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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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| 2.4866 | 1.0 | 510 | 2.3191 | 34.0155 | 13.6965 | 24.0706 | 27.3858 | 66.8784 | |
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| 2.1347 | 2.0 | 1020 | 2.2952 | 34.1203 | 13.7453 | 24.0993 | 27.4503 | 67.0735 | |
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| 1.9605 | 3.0 | 1530 | 2.3043 | 34.5939 | 13.9925 | 24.4982 | 27.7893 | 66.2392 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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