Downloads · 30 days
11
3% of all-time downloads
roberta-finetuned-subjqa-hotels
Mimi-2023/roberta-finetuned-subjqa-hotels
roberta-finetuned-subjqa-hotels is a question answering model from Mimi-2023. 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
363
Public
Repo size
9.9 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin496 MB · 99%
At a glance
- Task
- Question Answering
- Library
- transformers
- License
- cc-by-4.0
- Model type
- roberta
- Access
- Public
- Created
- Aug 15, 2023
- Updated
- Aug 15, 2023
- SHA
- d514e2d5
Try a prompt
Base models
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. -->
roberta-finetuned-subjqa-hotels
This model is a fine-tuned version of deepset/roberta-base-squad2 on the None dataset.
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: 6
Training results
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Question Answering
- Library
- transformers
- Type
- roberta
- License
- cc-by-4.0
- Created
- Aug 15, 2023
- Updated
- Aug 15, 2023