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t5-small-formal2informal
ramses64/t5-small-formal2informal
t5-small-formal2informal is a machine learning model from ramses64. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- Jun 14, 2025
- Updated
- Jun 14, 2025
- SHA
- 3ff7c9d1
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-formal2informal
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9385
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: 5e-06
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- 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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.3815 | 0.9479 | 50 | 2.0999 |
| 2.3396 | 1.8910 | 100 | 2.0879 |
| 2.3448 | 2.8341 | 150 | 2.0705 |
| 2.2972 | 3.7773 | 200 | 2.0500 |
| 2.2825 | 4.7204 | 250 | 2.0365 |
| 2.3177 | 5.6635 | 300 | 2.0214 |
| 2.2572 | 6.6066 | 350 | 2.0123 |
| 2.2112 | 7.5498 | 400 | 2.0014 |
| 2.2213 | 8.4929 | 450 | 1.9907 |
| 2.1899 | 9.4360 | 500 | 1.9824 |
| 2.1973 | 10.3791 | 550 | 1.9765 |
| 2.2085 | 11.3223 | 600 | 1.9707 |
| 2.2034 | 12.2654 | 650 | 1.9642 |
| 2.1318 | 13.2085 | 700 | 1.9571 |
| 2.1472 | 14.1517 | 750 | 1.9522 |
| 2.1625 | 15.0948 | 800 | 1.9476 |
| 2.1576 | 16.0379 | 850 | 1.9444 |
| 2.1553 | 16.9858 | 900 | 1.9431 |
| 2.1439 | 17.9289 | 950 | 1.9419 |
| 2.1355 | 18.8720 | 1000 | 1.9394 |
| 2.1401 | 19.8152 | 1050 | 1.9385 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.1
- Library
- transformers
- Type
- t5
- Created
- Jun 14, 2025
- Updated
- Jun 14, 2025