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MiniLM-L12-H384-uncased-squad
haritzpuerto/MiniLM-L12-H384-uncased-squad
MiniLM-L12-H384-uncased-squad is a question answering model from haritzpuerto. 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. --
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At a glance
- Task
- Question Answering
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- May 30, 2022
- Updated
- Jun 5, 2022
- SHA
- 6097056a
Try a prompt
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. -->
results
This model is a fine-tuned version of microsoft/MiniLM-L12-H384-uncased on the squad dataset. It achieves the following results on the evaluation set:
- exact_match: 77.57805108798486
- f1: 85.73943867549627
- Loss: 1.0744
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1738 | 1.0 | 5475 | 1.0744 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- May 30, 2022
- Updated
- Jun 5, 2022