| --- |
| license: mit |
| tags: |
| - generated_from_trainer |
| datasets: |
| - mlsum |
| model-index: |
| - name: bart-large-mlsum |
| results: [] |
| metrics: |
| - rouge |
| - bertscore |
| pipeline_tag: summarization |
| --- |
| |
| <!-- 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-large-mlsum |
|
|
| This model is a fine-tuned version of [Kafaite24/bart-large-mlsum](https://huggingface.co/Kafaite24/bart-large-mlsum) on the mlsum dataset. |
|
|
| ## Model description |
|
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| More information needed |
|
|
| ## Intended uses & limitations |
|
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| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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| The following hyperparameters were used during training: |
| - learning_rate: 3e-05 |
| - train_batch_size: 2 |
| - eval_batch_size: 2 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 500 |
| - num_epochs: 2 |
| - label_smoothing_factor: 0.1 |
| |
| ### Training results |
| |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.26.0 |
| - Pytorch 1.13.1+cu116 |
| - Datasets 2.9.0 |
| - Tokenizers 0.13.2 |
