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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: 1.6098 |
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- Rouge1: 52.3831 |
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- Rouge2: 27.5513 |
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- Rougel: 43.5051 |
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- Rougelsum: 48.1509 |
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- Gen Len: 30.1941 |
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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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| 1.4242 | 0.9997 | 1841 | 1.5158 | 52.6686 | 27.364 | 43.1196 | 47.9363 | 30.5824 | |
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| 1.0951 | 2.0 | 3683 | 1.5060 | 52.8177 | 27.6542 | 43.6251 | 48.207 | 30.2051 | |
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| 0.8624 | 2.9997 | 5524 | 1.5495 | 52.6928 | 28.1014 | 43.8451 | 48.4256 | 28.4212 | |
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| 0.6984 | 3.9989 | 7364 | 1.6098 | 52.3831 | 27.5513 | 43.5051 | 48.1509 | 30.1941 | |
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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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