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nep-spell-hft
duraad/nep-spell-hft
nep-spell-hft is a machine learning model from duraad. 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
- mt5
- Access
- Public
- Created
- Feb 3, 2024
- Updated
- Feb 12, 2024
- SHA
- 68b7ce4d
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. -->
nep-spell-hft
This model was trained from scratch on the None dataset.
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-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 1
Framework versions
- Transformers 4.37.2
- Pytorch 2.0.0
- Datasets 2.16.1
- Tokenizers 0.15.0
- Library
- transformers
- Type
- mt5
- Created
- Feb 3, 2024
- Updated
- Feb 12, 2024