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ielts_qg_flan_t5
daniyalfarh/ielts_qg_flan_t5
ielts_qg_flan_t5 is a machine learning model from daniyalfarh. 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
- Nov 5, 2025
- Updated
- Nov 5, 2025
- SHA
- 05a9ec16
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. -->
ielts_qg_flan_t5
This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.3128
- Pred Len: 48.5714
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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
- label_smoothing_factor: 0.1
Training results
| Training Loss | Epoch | Step | Validation Loss | Pred Len |
|---|---|---|---|---|
| 6.0427 | 1.0 | 195 | 4.1822 | 175.3802 |
| 3.387 | 2.0 | 390 | 2.7273 | 55.5741 |
| 2.8707 | 3.0 | 585 | 2.5263 | 42.6597 |
| 2.6846 | 4.0 | 780 | 2.4502 | 46.0989 |
| 2.556 | 5.0 | 975 | 2.4119 | 43.2357 |
| 2.5356 | 6.0 | 1170 | 2.3773 | 42.7395 |
| 2.5352 | 7.0 | 1365 | 2.3476 | 42.8023 |
| 2.5161 | 8.0 | 1560 | 2.3270 | 44.8441 |
| 2.424 | 9.0 | 1755 | 2.3197 | 40.2909 |
| 2.398 | 10.0 | 1950 | 2.3068 | 45.6863 |
| 2.4254 | 11.0 | 2145 | 2.2972 | 43.7034 |
| 2.36 | 12.0 | 2340 | 2.2903 | 45.0627 |
| 2.3012 | 13.0 | 2535 | 2.2876 | 42.5399 |
| 2.311 | 14.0 | 2730 | 2.2814 | 44.3479 |
| 2.2949 | 15.0 | 2925 | 2.2791 | 45.0760 |
| 2.2686 | 16.0 | 3120 | 2.2766 | 47.6160 |
| 2.2667 | 17.0 | 3315 | 2.2724 | 49.6996 |
| 2.2149 | 18.0 | 3510 | 2.2720 | 49.5817 |
| 2.2721 | 19.0 | 3705 | 2.2700 | 49.0989 |
| 2.2717 | 20.0 | 3900 | 2.2708 | 50.1901 |
Framework versions
- Transformers 4.53.3
- Pytorch 2.6.0+cu124
- Datasets 4.1.1
- Tokenizers 0.21.2
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Nov 5, 2025
- Updated
- Nov 5, 2025