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--- |
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license: mit |
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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-stats-extract |
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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-stats-extract |
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This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3450 |
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- Rouge1: 62.2604 |
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- Rouge2: 51.3208 |
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- Rougel: 55.5471 |
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- Rougelsum: 58.157 |
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- Gen Len: 90.4286 |
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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: 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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- 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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| No log | 1.0 | 4 | 1.0447 | 51.308 | 37.3054 | 44.334 | 47.5415 | 74.0 | |
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| No log | 2.0 | 8 | 0.5919 | 55.1069 | 43.0158 | 49.1003 | 51.4122 | 92.2857 | |
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| No log | 3.0 | 12 | 0.4159 | 60.2464 | 48.6734 | 54.0306 | 54.847 | 95.1429 | |
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| No log | 4.0 | 16 | 0.3450 | 62.2604 | 51.3208 | 55.5471 | 58.157 | 90.4286 | |
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### Framework versions |
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- Transformers 4.27.4 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.3 |
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