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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: 2.6994 |
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- Rouge1: 54.5529 |
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- Rouge2: 30.0179 |
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- Rougel: 45.3837 |
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- Rougelsum: 50.4176 |
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- Gen Len: 28.967 |
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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: cosine |
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- num_epochs: 4 |
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- mixed_precision_training: Native AMP |
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- label_smoothing_factor: 0.1 |
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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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| 2.7327 | 0.9997 | 1841 | 2.7677 | 52.2923 | 27.6237 | 43.1558 | 48.08 | 30.4005 | |
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| 2.4597 | 2.0 | 3683 | 2.7286 | 53.4085 | 28.7235 | 44.5737 | 49.3042 | 29.3004 | |
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| 2.2042 | 2.9997 | 5524 | 2.7436 | 53.6036 | 28.857 | 44.7337 | 49.2789 | 28.4188 | |
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| 2.1096 | 3.9989 | 7364 | 2.7886 | 53.0547 | 28.3597 | 44.0648 | 48.804 | 29.5165 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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