Downloads · 30 days
10
25% of all-time downloads
xlm-roberta-clickbait-spoiling
intanm/xlm-roberta-clickbait-spoiling
xlm-roberta-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 cc-by-4.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
40
Public
Repo size
3.4 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin1.1 GB · 98%
At a glance
- Task
- Question Answering
- Library
- transformers
- License
- cc-by-4.0
- Model type
- xlm-roberta
- Access
- Public
- Created
- Mar 14, 2023
- Updated
- Mar 14, 2023
- SHA
- a93a5a35
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
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: 2.8556
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 200 | 2.7484 |
| No log | 2.0 | 400 | 2.7115 |
| 2.656 | 3.0 | 600 | 2.8556 |
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 14, 2023
- Updated
- Mar 14, 2023