Downloads · 30 days
12
21% of all-time downloads
NF-bigbird-squad
FredNajjar/NF-bigbird-squad
NF-bigbird-squad is a question answering model from FredNajjar. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
56
Public
Repo size
5.3 GB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.bin526 MB · 99%
At a glance
- Task
- Question Answering
- Library
- transformers
- License
- apache-2.0
- Model type
- big_bird
- Access
- Public
- Created
- Sep 12, 2023
- Updated
- Sep 13, 2023
- SHA
- 334da183
Try a prompt
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. -->
NF-bigbird-squad
This model is a fine-tuned version of google/bigbird-roberta-base on the squad dataset. It achieves the following results on the evaluation set:
- Loss: 1.0218
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: 2
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 160
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0526 | 1.0 | 1095 | 1.1762 |
| 0.8623 | 2.0 | 2190 | 1.0830 |
| 0.8911 | 3.0 | 3285 | 1.0327 |
| 0.9511 | 4.0 | 4380 | 1.0218 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Question Answering
- Library
- transformers
- Type
- big_bird
- License
- apache-2.0
- Created
- Sep 12, 2023
- Updated
- Sep 13, 2023