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MiniLM-L6_SQuAD
RyyDer/MiniLM-L6_SQuAD
MiniLM-L6_SQuAD is a question answering model from RyyDer. 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
- Feb 20, 2025
- Updated
- Feb 22, 2025
- SHA
- 79e7cd0f
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. -->
my_great_qa_model
This model is a fine-tuned version of nreimers/MiniLM-L6-H384-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.2379
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: 16
- eval_batch_size: 16
- 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 250 | 2.7048 |
| 2.9942 | 2.0 | 500 | 2.3563 |
| 2.9942 | 3.0 | 750 | 2.2379 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Feb 20, 2025
- Updated
- Feb 22, 2025