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20230427-002-baseline-mbartl-clickbait-spoiling
intanm/20230427-002-baseline-mbartl-clickbait-spoiling
20230427-002-baseline-mbartl-clickbait-spoiling is a question answering model from intanm. Use it when the input is a question plus a passage. 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
- Question Answering
- Library
- transformers
- License
- mit
- Model type
- mbart
- Access
- Public
- Created
- Apr 27, 2023
- Updated
- Apr 27, 2023
- SHA
- f972fe26
Try a prompt
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. -->
20230427-002-baseline-mbartl-clickbait-spoiling
This model is a fine-tuned version of facebook/mbart-large-50 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 8.1396
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 98 | 2.8154 |
| No log | 2.0 | 196 | 2.8812 |
| No log | 3.0 | 294 | 3.7971 |
| No log | 4.0 | 392 | 4.9177 |
| No log | 5.0 | 490 | 5.4828 |
| 1.3773 | 6.0 | 588 | 7.1742 |
| 1.3773 | 7.0 | 686 | 7.6280 |
| 1.3773 | 8.0 | 784 | 7.9279 |
| 1.3773 | 9.0 | 882 | 8.0602 |
| 1.3773 | 10.0 | 980 | 8.1396 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
- Task
- Question Answering
- Library
- transformers
- Type
- mbart
- License
- mit
- Created
- Apr 27, 2023
- Updated
- Apr 27, 2023