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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: PTS-Bart-Large-CNN |
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results: [] |
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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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# PTS-Bart-Large-CNN |
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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 PTS dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0177 |
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- Rouge1: 0.6339 |
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- Rouge2: 0.4113 |
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- Rougel: 0.5344 |
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- Rougelsum: 0.5338 |
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- Gen Len: 76.1278 |
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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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- 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 | 180 | 0.9026 | 0.6109 | 0.3819 | 0.5098 | 0.5094 | 76.9722 | |
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| No log | 2.0 | 360 | 0.9012 | 0.6273 | 0.4054 | 0.5285 | 0.5284 | 76.3833 | |
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| 0.6717 | 3.0 | 540 | 0.9357 | 0.6312 | 0.4071 | 0.5297 | 0.5295 | 76.25 | |
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| 0.6717 | 4.0 | 720 | 1.0177 | 0.6339 | 0.4113 | 0.5344 | 0.5338 | 76.1278 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
