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xlm-roberta-clickbait-spoiling-2
intanm/xlm-roberta-clickbait-spoiling-2
xlm-roberta-clickbait-spoiling-2 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 cc-by-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Question Answering
- Library
- transformers
- License
- cc-by-4.0
- Model type
- xlm-roberta
- Access
- Public
- Created
- Mar 15, 2023
- Updated
- Mar 15, 2023
- SHA
- 9aada4a2
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. -->
xlm-roberta-clickbait-spoiling-2
This model is a fine-tuned version of deepset/xlm-roberta-base-squad2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.7918
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: 1e-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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 400 | 2.7691 |
| 3.0496 | 2.0 | 800 | 2.7095 |
| 2.4457 | 3.0 | 1200 | 2.7918 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
- Task
- Question Answering
- Library
- transformers
- Type
- xlm-roberta
- License
- cc-by-4.0
- Created
- Mar 15, 2023
- Updated
- Mar 15, 2023