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mbart-large-50-finetuned-mBART50
jacks392/mbart-large-50-finetuned-mBART50
mbart-large-50-finetuned-mBART50 is a summarization model from jacks392. Use it when you need a shorter version of a longer text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Summarization
- Library
- transformers
- License
- mit
- Model type
- mbart
- Access
- Public
- Created
- Jun 8, 2024
- Updated
- Jun 8, 2024
- SHA
- 7247e171
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Base models
Datasets
Model card
From the Hugging Face model README
<!-- 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. -->
mbart-large-50-finetuned-mBART50
This model is a fine-tuned version of facebook/mbart-large-50 on the mlsum dataset. It achieves the following results on the evaluation set:
- eval_loss: 4.3657
- eval_rouge1: 31.5055
- eval_rouge2: 23.392
- eval_rougeL: 28.9957
- eval_rougeLsum: 30.2596
- eval_runtime: 9404.8054
- eval_samples_per_second: 0.286
- eval_steps_per_second: 0.036
- step: 0
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5.6e-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: 4
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0
- Datasets 2.19.2
- Tokenizers 0.19.1
- Task
- Summarization
- Library
- transformers
- Type
- mbart
- License
- mit
- Created
- Jun 8, 2024
- Updated
- Jun 8, 2024