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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: 02_ToS-BART |
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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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# 02_ToS-BART |
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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: 0.5697 |
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- Rouge1: 0.6086 |
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- Rouge2: 0.4577 |
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- Rougel: 0.5072 |
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- Rougelsum: 0.5071 |
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- Gen Len: 110.7293 |
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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: 3e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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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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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 6 |
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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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| No log | 1.0 | 360 | 0.5018 | 0.5957 | 0.44 | 0.4873 | 0.4876 | 110.8398 | |
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| 0.049 | 2.0 | 720 | 0.5468 | 0.5923 | 0.4364 | 0.4812 | 0.4813 | 111.6133 | |
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| 0.0789 | 3.0 | 1080 | 0.5157 | 0.6035 | 0.4439 | 0.4933 | 0.4934 | 110.1768 | |
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| 0.0789 | 4.0 | 1440 | 0.5905 | 0.5873 | 0.4279 | 0.4781 | 0.4781 | 110.8343 | |
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| 0.044 | 5.0 | 1800 | 0.5581 | 0.6046 | 0.4544 | 0.5023 | 0.502 | 110.8674 | |
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| 0.0231 | 6.0 | 2160 | 0.5697 | 0.6086 | 0.4577 | 0.5072 | 0.5071 | 110.7293 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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