Downloads · 30 days
8
3% of all-time downloads
electra-base-squad2-finetuned-squad-12-trainedfor-3
zendiode69/electra-base-squad2-finetuned-squad-12-trainedfor-3
electra-base-squad2-finetuned-squad-12-trainedfor-3 is a question answering model from zendiode69. 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
303
Public
Repo size
2.2 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
- cc-by-4.0
- Model type
- electra
- Access
- Public
- Created
- Jan 28, 2023
- Updated
- Jan 29, 2023
- SHA
- 2888bc9d
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-finetuned-squad-12-trainedfor-3
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: 0.3064
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: 5e-06
- 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 |
|---|---|---|---|
| 0.6128 | 1.0 | 578 | 0.3142 |
| 0.4583 | 2.0 | 1156 | 0.3072 |
| 0.415 | 3.0 | 1734 | 0.3064 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
- Task
- Question Answering
- Library
- transformers
- Type
- electra
- License
- cc-by-4.0
- Created
- Jan 28, 2023
- Updated
- Jan 29, 2023