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--- |
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license: mit |
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base_model: facebook/bart-large-cnn |
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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-large-cnn-finetuned-sst2 |
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results: [] |
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datasets: |
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- samsum |
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language: |
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- en |
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pipeline_tag: summarization |
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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-large-cnn-finetuned-sst2 |
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This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co./facebook/bart-large-cnn) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4287 |
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- Rouge1: 0.4065 |
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- Rouge2: 0.1979 |
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- Rougel: 0.3084 |
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- Rougelsum: 0.3750 |
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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: 5e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:| |
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| 0.2977 | 1.0 | 920 | 0.3094 | 0.4036 | 0.2071 | 0.3097 | 0.3746 | |
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| 0.2253 | 2.0 | 1841 | 0.3163 | 0.4067 | 0.2109 | 0.3130 | 0.3769 | |
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| 0.159 | 3.0 | 2762 | 0.3258 | 0.4108 | 0.2101 | 0.3163 | 0.3796 | |
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| 0.1091 | 4.0 | 3683 | 0.3680 | 0.4060 | 0.2006 | 0.3069 | 0.3750 | |
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| 0.0723 | 5.0 | 4600 | 0.4287 | 0.4065 | 0.1979 | 0.3084 | 0.3750 | |
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### Framework versions |
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- Transformers 4.38.1 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
