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t5-base-grammar-correction-epita
Tototra/t5-base-grammar-correction-epita
t5-base-grammar-correction-epita is a machine learning model from Tototra. 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 8, 2026
- Updated
- Jun 8, 2026
- SHA
- ba5875fa
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-base-grammar-correction-epita
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5542
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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: cosine
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.8249 | 1.0 | 200 | 0.6180 |
| 2.5698 | 2.0 | 400 | 0.6100 |
| 3.0638 | 3.0 | 600 | 0.5530 |
| 3.1788 | 4.0 | 800 | 0.5543 |
| 3.1185 | 5.0 | 1000 | 0.5542 |
Framework versions
- Transformers 5.9.0
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Library
- transformers
- Type
- t5
- Created
- Jun 8, 2026
- Updated
- Jun 8, 2026