Downloads · 30 days
3
8% of all-time downloads
QA_SYNTH_DATA_WITH_UNANSWERABLE_05_SEPT
am-infoweb/QA_SYNTH_DATA_WITH_UNANSWERABLE_05_SEPT
QA_SYNTH_DATA_WITH_UNANSWERABLE_05_SEPT is a question answering model from am-infoweb. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
38
Public
Parameters
277M
2.2 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin1.1 GB · 50%
At a glance
- Task
- Question Answering
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Sep 5, 2023
- Updated
- Sep 8, 2023
- SHA
- 29685f54
Try a prompt
Base models
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. -->
QA_SYNTH_DATA_WITH_UNANSWERABLE_05_SEPT
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0053
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0478 | 1.0 | 16275 | 0.0446 |
| 0.0825 | 2.0 | 32550 | 0.0349 |
| 0.0674 | 3.0 | 48825 | 0.0366 |
| 0.0088 | 4.0 | 65100 | 0.0301 |
| 0.0102 | 5.0 | 81375 | 0.0110 |
| 0.0036 | 6.0 | 97650 | 0.0040 |
| 0.0 | 7.0 | 113925 | 0.0055 |
| 0.0 | 8.0 | 130200 | 0.0056 |
| 0.0 | 9.0 | 146475 | 0.0052 |
| 0.0 | 10.0 | 162750 | 0.0053 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Question Answering
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Sep 5, 2023
- Updated
- Sep 8, 2023