Downloads · 30 days
18
4% of all-time downloads
de-adapter-32
subhasisj/de-adapter-32
de-adapter-32 is a question answering model from subhasisj. Use it when the input is a question plus a passage. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
403
Public
Repo size
3.4 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin1.1 GB · 99%
At a glance
- Task
- Question Answering
- Library
- transformers
- Model type
- xlm-roberta
- Access
- Public
- Created
- May 22, 2022
- Updated
- May 22, 2022
- SHA
- 954361d6
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. -->
de-adapter-32
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 5.4347
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 335 | 5.7031 |
| 5.7592 | 2.0 | 670 | 5.5706 |
| 5.5647 | 3.0 | 1005 | 5.4899 |
| 5.5647 | 4.0 | 1340 | 5.4481 |
| 5.4865 | 5.0 | 1675 | 5.4347 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1
- Task
- Question Answering
- Library
- transformers
- Type
- xlm-roberta
- Created
- May 22, 2022
- Updated
- May 22, 2022