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t5-qg-checkpoints
Yoga26/t5-qg-checkpoints
t5-qg-checkpoints is a machine learning model from Yoga26. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Feb 24, 2026
- Updated
- Mar 19, 2026
- SHA
- 6c216589
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-qg-checkpoints
This model is a fine-tuned version of t5-base on the nl-quad dataset. It achieves the following results on the evaluation set:
- Loss: 2.0288
- Rougel: 42.2
- Bleu: 18.85
- Meteor: 41.13
- Bert Precision: 94.19
- Bert Recall: 93.51
- Bert F1: 93.84
- Qsts Mean: 63.5100
- Gen Len: 13.48
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: 0.0001
- train_batch_size: 48
- eval_batch_size: 48
- 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
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 10
- label_smoothing_factor: 0.05
Training results
| Training Loss | Epoch | Step | Validation Loss | Rougel | Bleu | Meteor | Bert Precision | Bert Recall | Bert F1 | Qsts Mean | Gen Len |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2.3343 | 1.0 | 249 | 2.1434 | 38.63 | 14.89 | 37.32 | 93.83 | 93.09 | 93.45 | 61.4900 | 12.94 |
| 2.1126 | 2.0 | 498 | 2.0469 | 40.24 | 16.75 | 39.0 | 94.01 | 93.27 | 93.63 | 63.2800 | 13.43 |
| 1.9399 | 3.0 | 747 | 2.0290 | 40.4 | 16.41 | 39.06 | 94.0 | 93.31 | 93.64 | 62.8100 | 13.7 |
| 1.8319 | 4.0 | 996 | 2.0196 | 41.67 | 17.83 | 40.27 | 94.13 | 93.46 | 93.78 | 63.4000 | 13.8 |
| 1.7543 | 5.0 | 1245 | 2.0204 | 41.41 | 18.1 | 40.28 | 94.07 | 93.5 | 93.77 | 63.9000 | 13.74 |
| 1.6840 | 6.0 | 1494 | 2.0288 | 42.2 | 18.85 | 41.13 | 94.19 | 93.51 | 93.84 | 63.5100 | 13.48 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Languages
- en
- Created
- Feb 24, 2026
- Updated
- Mar 19, 2026