Downloads · 30 days
32
25% of all-time downloads
t5-small-finetuned-squad
Adnan2942/t5-small-finetuned-squad
t5-small-finetuned-squad is a question answering model from Adnan2942. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
130
Public
Parameters
60.5M
1.9 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors242 MB · 99%
At a glance
- Task
- Question Answering
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Sep 12, 2026
- Updated
- Sep 13, 2026
- SHA
- 521e8070
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. -->
t5-small-finetuned-squad
This model is a fine-tuned version of google-t5/t5-small on rajpurkar/squad dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
rajpurkar/squad
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 5.0.0
- Tokenizers 0.22.2
- Task
- Question Answering
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Sep 12, 2026
- Updated
- Sep 13, 2026