| --- |
| license: apache-2.0 |
| base_model: GuysTrans/bart-base-mini |
| tags: |
| - generated_from_trainer |
| metrics: |
| - rouge |
| model-index: |
| - name: bart-base-mini |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # bart-base-mini |
|
|
| This model is a fine-tuned version of [GuysTrans/bart-base-mini](https://huggingface.co/GuysTrans/bart-base-mini) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.5743 |
| - Rouge1: 7.0054 |
| - Rouge2: 1.8775 |
| - Rougel: 6.0671 |
| - Rougelsum: 6.912 |
| - Gen Len: 20.0 |
|
|
| ## Model description |
|
|
| More information needed |
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|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
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|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 1 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
| |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
| | 2.0114 | 1.0 | 22880 | 2.5743 | 7.0054 | 1.8775 | 6.0671 | 6.912 | 20.0 | |
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| ### Framework versions |
|
|
| - Transformers 4.33.0 |
| - Pytorch 2.0.0 |
| - Datasets 2.1.0 |
| - Tokenizers 0.13.3 |
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|
