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nep-spell-hf
duraad/nep-spell-hf
nep-spell-hf 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. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- mt5
- Access
- Public
- Created
- Feb 1, 2024
- Updated
- Feb 2, 2024
- SHA
- c9804d4b
Base models
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-hf
This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0114
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: 30
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0285 | 6.6 | 6000 | 0.0167 |
| 0.0155 | 13.2 | 12000 | 0.0132 |
| 0.0124 | 19.8 | 18000 | 0.0118 |
| 0.0099 | 26.4 | 24000 | 0.0114 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.0.0
- Datasets 2.16.1
- Tokenizers 0.15.0
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Feb 1, 2024
- Updated
- Feb 2, 2024