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--- |
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license: apache-2.0 |
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base_model: facebook/bart-base |
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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: test_sum_bart_base_model |
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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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# test_sum_bart_base_model |
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7789 |
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- Rouge1: 0.4137 |
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- Rouge2: 0.3037 |
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- Rougel: 0.3749 |
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- Rougelsum: 0.3747 |
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- Gen Len: 19.9959 |
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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: 16 |
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- eval_batch_size: 16 |
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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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| 0.9855 | 1.0 | 1764 | 0.8474 | 0.4122 | 0.303 | 0.3726 | 0.3726 | 19.9908 | |
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| 0.8409 | 2.0 | 3528 | 0.7938 | 0.4138 | 0.3044 | 0.3752 | 0.3751 | 19.9946 | |
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| 0.7872 | 3.0 | 5292 | 0.7776 | 0.4174 | 0.308 | 0.3783 | 0.3782 | 19.9928 | |
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| 0.7485 | 4.0 | 7056 | 0.7789 | 0.4137 | 0.3037 | 0.3749 | 0.3747 | 19.9959 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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