Downloads · 30 days
12
36% of all-time downloads
minilm-uncased-squad2-term-in-question_marked
abischoff/minilm-uncased-squad2-term-in-question_marked
minilm-uncased-squad2-term-in-question_marked is a question answering model from abischoff. 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
33
Public
Parameters
33.2M
133 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors133 MB · 99%
At a glance
- Task
- Question Answering
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Feb 20, 2025
- Updated
- Feb 20, 2025
- SHA
- d56fb302
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. -->
minilm-uncased-squad2-term-in-question_marked
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6825
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: 12
- eval_batch_size: 12
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 63 | 0.9217 |
| No log | 2.0 | 126 | 0.7459 |
| No log | 3.0 | 189 | 0.6692 |
| No log | 4.0 | 252 | 0.6825 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.1
- Tokenizers 0.21.0
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- Created
- Feb 20, 2025
- Updated
- Feb 20, 2025