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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-summarization_final_labeled_data |
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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-summarization_final_labeled_data |
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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 the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1308 |
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- Rouge1: 71.046 |
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- Rouge2: 59.5936 |
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- Rougel: 66.5089 |
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- Rougelsum: 69.5863 |
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- Gen Len: 120.08 |
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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: 2 |
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- eval_batch_size: 2 |
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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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| No log | 1.0 | 99 | 0.4590 | 49.5947 | 32.0274 | 39.973 | 47.0858 | 124.54 | |
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| No log | 2.0 | 198 | 0.2493 | 53.1348 | 36.2418 | 43.9192 | 50.68 | 120.1 | |
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| No log | 3.0 | 297 | 0.1645 | 63.4779 | 49.8803 | 57.8773 | 62.0455 | 116.12 | |
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| No log | 4.0 | 396 | 0.1344 | 68.4348 | 55.6375 | 63.3955 | 66.2623 | 124.84 | |
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| No log | 5.0 | 495 | 0.1308 | 71.046 | 59.5936 | 66.5089 | 69.5863 | 120.08 | |
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### Framework versions |
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- Transformers 4.20.1 |
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- Pytorch 1.11.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.12.1 |
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