Downloads · 30 days
10
3% of all-time downloads
electra-base-squad2-ta-qna-electra
venkateshdas/electra-base-squad2-ta-qna-electra
electra-base-squad2-ta-qna-electra is a question answering model from venkateshdas. 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
360
Public
Repo size
871 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin436 MB · 100%
At a glance
- Task
- Question Answering
- Library
- transformers
- License
- cc-by-4.0
- Model type
- electra
- Access
- Public
- Created
- Sep 18, 2022
- Updated
- Sep 18, 2022
- SHA
- 851430f9
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. -->
electra-base-squad2-ta-qna-electra
This model is a fine-tuned version of deepset/electra-base-squad2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1644
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: 0.0001
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 44 | 0.2352 |
| No log | 2.0 | 88 | 0.1644 |
Framework versions
- Transformers 4.22.1
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
- Task
- Question Answering
- Library
- transformers
- Type
- electra
- License
- cc-by-4.0
- Created
- Sep 18, 2022
- Updated
- Sep 18, 2022