Downloads · 30 days
6
0% of all-time downloads
electra-base-discriminator_squad_mod
damapika/electra-base-discriminator_squad_mod
electra-base-discriminator_squad_mod is a question answering model from damapika. 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
23.7K
Public
Repo size
29.2 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin436 MB · 100%
At a glance
- Task
- Question Answering
- Library
- transformers
- License
- apache-2.0
- Model type
- electra
- Access
- Public
- Created
- May 1, 2023
- Updated
- May 2, 2023
- SHA
- a45c6dcc
Try a prompt
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. -->
electra-base-discriminator_squad_mod
This model is a fine-tuned version of google/electra-base-discriminator on the squad dataset. It achieves the following results on the evaluation set:
- Loss: 1.0307
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: 3e-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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8766 | 1.0 | 10950 | 0.8659 |
| 0.6171 | 2.0 | 21900 | 0.8856 |
| 0.4249 | 3.0 | 32850 | 1.0307 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
- Task
- Question Answering
- Library
- transformers
- Type
- electra
- License
- apache-2.0
- Created
- May 1, 2023
- Updated
- May 2, 2023