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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: 1.5520 |
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- Rouge1: 53.0152 |
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- Rouge2: 28.029 |
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- Rougel: 43.8864 |
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- Rougelsum: 48.7945 |
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- Gen Len: 30.3138 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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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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| 1.4812 | 1.0 | 921 | 1.5084 | 52.6238 | 27.9144 | 43.3378 | 48.77 | 30.4225 | |
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| 1.1068 | 2.0 | 1842 | 1.4507 | 53.2142 | 28.5004 | 44.382 | 49.228 | 28.6264 | |
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| 0.9224 | 3.0 | 2763 | 1.5031 | 52.8334 | 27.9492 | 43.7939 | 48.714 | 29.5751 | |
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| 0.7957 | 4.0 | 3684 | 1.5520 | 53.0152 | 28.029 | 43.8864 | 48.7945 | 30.3138 | |
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### Framework versions |
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- Transformers 4.44.0 |
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- Pytorch 2.4.0 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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