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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-large-cnn-ing-extraction-e4 |
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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-large-cnn-ing-extraction-e4 |
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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: 2.6226 |
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- Rouge1: 10.8186 |
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- Rouge2: 4.3032 |
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- Rougel: 10.7802 |
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- Rougelsum: 10.7952 |
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- Gen Len: 57.5739 |
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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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| 0.6235 | 1.0 | 762 | 3.1458 | 14.9141 | 5.5712 | 14.7529 | 14.8292 | 57.6903 | |
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| 0.2435 | 2.0 | 1524 | 2.2255 | 6.4408 | 2.4546 | 6.4219 | 6.4393 | 57.2955 | |
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| 0.1467 | 3.0 | 2286 | 2.9673 | 9.9243 | 3.9008 | 9.932 | 9.9268 | 57.6506 | |
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| 0.0627 | 4.0 | 3048 | 2.6226 | 10.8186 | 4.3032 | 10.7802 | 10.7952 | 57.5739 | |
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### Framework versions |
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- Transformers 4.28.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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