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delete_nepali-char-t5-gec
bashyaldhiraj2067/delete_nepali-char-t5-gec
delete_nepali-char-t5-gec is a machine learning model from bashyaldhiraj2067. 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
- Jul 12, 2025
- Updated
- Jul 12, 2025
- SHA
- bc1c23f3
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. -->
delete_nepali-char-t5-gec
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5482
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: 0.0005
- train_batch_size: 16
- eval_batch_size: 16
- 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_steps: 500
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 68 | 3.6423 |
| 4.394 | 2.0 | 136 | 2.7034 |
| 2.7578 | 3.0 | 204 | 2.2173 |
| 2.7578 | 4.0 | 272 | 2.0253 |
| 2.112 | 5.0 | 340 | 1.9120 |
| 1.8785 | 6.0 | 408 | 1.8537 |
| 1.8785 | 7.0 | 476 | 1.8738 |
| 1.7411 | 8.0 | 544 | 1.8045 |
| 1.6493 | 9.0 | 612 | 1.7871 |
| 1.6493 | 10.0 | 680 | 1.6829 |
| 1.4582 | 11.0 | 748 | 1.6645 |
| 1.3147 | 12.0 | 816 | 1.5850 |
| 1.3147 | 13.0 | 884 | 1.5597 |
| 1.1129 | 14.0 | 952 | 1.5595 |
| 0.9816 | 15.0 | 1020 | 1.5482 |
Framework versions
- Transformers 4.53.1
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.2
- Library
- transformers
- Type
- t5
- Created
- Jul 12, 2025
- Updated
- Jul 12, 2025