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--- |
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license: mit |
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base_model: facebook/bart-large-xsum |
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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: bart_samsum |
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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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# bart_samsum |
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This model is a fine-tuned version of [facebook/bart-large-xsum](https://huggingface.co/facebook/bart-large-xsum) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4469 |
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- Rouge1: 54.1048 |
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- Rouge2: 29.4288 |
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- Rougel: 44.7135 |
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- Rougelsum: 49.7824 |
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- Gen Len: 30.1333 |
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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: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 8 |
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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: 4 |
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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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| 1.4237 | 0.9997 | 1841 | 1.5096 | 52.578 | 27.25 | 43.167 | 47.8705 | 29.2381 | |
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| 1.0961 | 2.0 | 3683 | 1.4730 | 53.0543 | 28.2549 | 43.5716 | 48.5957 | 30.1355 | |
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| 0.8667 | 2.9997 | 5524 | 1.5579 | 52.8621 | 28.224 | 43.9952 | 48.5389 | 28.0488 | |
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| 0.7011 | 3.9989 | 7364 | 1.6067 | 52.4772 | 27.6106 | 43.5235 | 48.0805 | 29.8877 | |
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### Framework versions |
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- Transformers 4.40.0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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