Downloads · 30 days
5
17% of all-time downloads
albertbase-qa
mateiaass/albertbase-qa
albertbase-qa is a question answering model from mateiaass. 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
30
Public
Repo size
1.2 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin44.4 MB · 94%
At a glance
- Task
- Question Answering
- Library
- transformers
- License
- apache-2.0
- Model type
- albert
- Access
- Public
- Created
- Oct 15, 2023
- Updated
- Oct 15, 2023
- SHA
- ac6bd6ca
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. -->
albertbase-qa
This model is a fine-tuned version of albert-base-v2 on the squad dataset. It achieves the following results on the evaluation set:
- Loss: 1.0115
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 |
|---|---|---|---|
| 0.897 | 1.0 | 4380 | 0.9106 |
| 0.671 | 2.0 | 8760 | 0.8892 |
| 0.476 | 3.0 | 13140 | 1.0115 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
- Task
- Question Answering
- Library
- transformers
- Type
- albert
- License
- apache-2.0
- Created
- Oct 15, 2023
- Updated
- Oct 15, 2023