Downloads · 30 days
5
2% of all-time downloads
mobilebert-uncased-squad-v2-16-11-2
badokorach/mobilebert-uncased-squad-v2-16-11-2
mobilebert-uncased-squad-v2-16-11-2 is a question answering model from badokorach. 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
307
Public
Parameters
24.6M
2.9 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors98.5 MB · 99%
At a glance
- Task
- Question Answering
- Library
- transformers
- License
- mit
- Model type
- mobilebert
- Access
- Public
- Created
- Nov 16, 2023
- Updated
- Nov 16, 2023
- SHA
- f250ea49
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. -->
mobilebert-uncased-squad-v2-16-11-2
This model is a fine-tuned version of csarron/mobilebert-uncased-squad-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 16.1284
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 25
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 489 | 2.6193 |
| 1.4634 | 2.0 | 978 | 3.0847 |
| 1.2884 | 3.0 | 1467 | 3.2589 |
| 1.1511 | 4.0 | 1956 | 3.9182 |
| 1.0809 | 5.0 | 2445 | 3.7122 |
| 1.008 | 6.0 | 2934 | 4.5737 |
| 0.9048 | 7.0 | 3423 | 5.2430 |
| 0.7411 | 8.0 | 3912 | 5.4474 |
| 0.6668 | 9.0 | 4401 | 5.9275 |
| 0.557 | 10.0 | 4890 | 7.8979 |
| 0.4912 | 11.0 | 5379 | 7.8582 |
| 0.409 | 12.0 | 5868 | 8.1236 |
| 0.3293 | 13.0 | 6357 | 9.7170 |
| 0.3408 | 14.0 | 6846 | 10.1125 |
| 0.2514 | 15.0 | 7335 | 10.8043 |
| 0.2042 | 16.0 | 7824 | 11.1361 |
| 0.201 | 17.0 | 8313 | 12.5571 |
| 0.1846 | 18.0 | 8802 | 13.4892 |
| 0.1582 | 19.0 | 9291 | 13.4029 |
| 0.1185 | 20.0 | 9780 | 14.8577 |
| 0.1048 | 21.0 | 10269 | 15.3951 |
| 0.1258 | 22.0 | 10758 | 15.3019 |
| 0.0763 | 23.0 | 11247 | 15.5361 |
| 0.0684 | 24.0 | 11736 | 15.8837 |
| 0.0667 | 25.0 | 12225 | 16.1284 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Question Answering
- Library
- transformers
- Type
- mobilebert
- License
- mit
- Created
- Nov 16, 2023
- Updated
- Nov 16, 2023