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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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datasets: |
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- samsum |
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metrics: |
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- rouge |
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model-index: |
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- name: mode_tuned_peft |
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results: [] |
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library_name: peft |
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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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# mode_tuned_peft |
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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 samsum dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5220 |
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- Rouge1: 40.6099 |
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- Rouge2: 20.4138 |
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- Rougel: 31.1095 |
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- Rougelsum: 37.6804 |
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- Gen Len: 58.11 |
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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: 1e-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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- 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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- 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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| 0.5144 | 1.0 | 14732 | 0.5494 | 39.171 | 19.3682 | 29.7493 | 36.2965 | 58.6773 | |
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| 0.5694 | 2.0 | 29464 | 0.5357 | 40.1584 | 20.0293 | 30.5791 | 37.1361 | 58.0648 | |
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| 0.3497 | 3.0 | 44196 | 0.5277 | 41.0391 | 20.7891 | 31.5244 | 38.1502 | 58.0086 | |
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| 0.3444 | 4.0 | 58928 | 0.5255 | 40.6698 | 20.543 | 31.2399 | 37.8126 | 58.3716 | |
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| 0.3495 | 5.0 | 73660 | 0.5220 | 40.6099 | 20.4138 | 31.1095 | 37.6804 | 58.11 | |
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### Framework versions |
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- PEFT 0.4.0 |
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- Transformers 4.42.3 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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