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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: 0.0858 |
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- Rouge1: 76.5974 |
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- Rouge2: 66.1659 |
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- Rougel: 71.9284 |
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- Rougelsum: 75.2459 |
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- Gen Len: 122.5 |
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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 | 0.2852 | 61.0841 | 45.81 | 52.9835 | 59.0452 | 116.92 | |
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| No log | 2.0 | 198 | 0.1547 | 71.534 | 59.9905 | 66.4697 | 70.5213 | 117.56 | |
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| No log | 3.0 | 297 | 0.1100 | 71.6464 | 59.0112 | 67.3835 | 70.5206 | 117.24 | |
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| No log | 4.0 | 396 | 0.0960 | 77.9213 | 67.6116 | 73.7888 | 76.8473 | 123.62 | |
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| No log | 5.0 | 495 | 0.0858 | 76.5974 | 66.1659 | 71.9284 | 75.2459 | 122.5 | |
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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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