Downloads · 30 days
8
16% of all-time downloads
mobilebert-uncased-finetuned-squadv1-231123
badokorach/mobilebert-uncased-finetuned-squadv1-231123
mobilebert-uncased-finetuned-squadv1-231123 is a question answering model from badokorach. 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
50
Public
Parameters
24.6M
13.7 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
- Model type
- mobilebert
- Access
- Public
- Created
- Nov 23, 2023
- Updated
- Nov 23, 2023
- SHA
- 20dc8bfb
Try a prompt
Base models
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. -->
mobilebert-uncased-finetuned-squadv1-231123
This model is a fine-tuned version of mrm8488/mobilebert-uncased-finetuned-squadv1 on the squad dataset. It achieves the following results on the evaluation set:
- Loss: 1.1338
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8437 | 1.0 | 22131 | 0.9812 |
| 0.7523 | 2.0 | 44262 | 1.0521 |
| 0.5809 | 3.0 | 66393 | 1.1338 |
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
- Created
- Nov 23, 2023
- Updated
- Nov 23, 2023