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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: 1.4704 |
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- Rouge1: 54.8232 |
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- Rouge2: 30.1114 |
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- Rougel: 45.2666 |
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- Rougelsum: 50.7533 |
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- Gen Len: 30.3399 |
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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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| 1.3807 | 0.9997 | 1841 | 1.5203 | 52.4158 | 27.5034 | 42.8274 | 48.0361 | 31.4664 | |
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| 1.077 | 2.0 | 3683 | 1.5038 | 53.5277 | 28.5946 | 44.2315 | 49.5696 | 30.768 | |
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| 0.831 | 2.9997 | 5524 | 1.5362 | 52.9008 | 27.7041 | 43.5637 | 48.3921 | 29.9243 | |
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| 0.6919 | 3.9989 | 7364 | 1.6272 | 52.8716 | 27.9183 | 43.8019 | 48.6547 | 30.2002 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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