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epoch5_XPU_GEC_t5_char_nepali
bashyaldhiraj2067/epoch5_XPU_GEC_t5_char_nepali
epoch5_XPU_GEC_t5_char_nepali 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
- Mar 24, 2025
- Updated
- Mar 24, 2025
- SHA
- ff37895f
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. -->
epoch5_XPU_GEC_t5_char_nepali
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4594
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8944 | 1.0 | 2051 | 0.7401 |
| 0.6355 | 2.0 | 4102 | 0.5808 |
| 0.5632 | 3.0 | 6153 | 0.5261 |
| 0.5203 | 4.0 | 8204 | 0.4863 |
| 0.4843 | 4.9978 | 10250 | 0.4594 |
Framework versions
- Transformers 4.50.0.dev0
- Pytorch 2.5.1+cxx11.abi
- Datasets 3.4.0
- Tokenizers 0.21.1
- Library
- transformers
- Type
- t5
- Created
- Mar 24, 2025
- Updated
- Mar 24, 2025