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nep-spell-mt5-small-0
duraad/nep-spell-mt5-small-0
nep-spell-mt5-small-0 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 17, 2024
- Updated
- Feb 18, 2024
- SHA
- 7a2a430f
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-mt5-small-0
This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0009
- Accuracy: 0.8446
- Precision: 0.889
- Recall: 0.8446
- F1: 0.8603
- Wer: 0.0105
- Cer: 0.0024
- Chrf: 99.2925
- Exact Match: 0.8446
- Bertscore:precision: 0.9972
- Bertscore:recall: 0.9975
- Bertscore:f1: 0.9973
- Ter: 1.0546
- Blerurt: 0.8889
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: 3
- eval_batch_size: 3
- 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
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Wer | Cer | Chrf | Exact Match | Bertscore:precision | Bertscore:recall | Bertscore:f1 | Ter | Blerurt |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.006 | 0.75 | 10000 | 0.0009 | 0.8446 | 0.889 | 0.8446 | 0.8603 | 0.0105 | 0.0024 | 99.2925 | 0.8446 | 0.9972 | 0.9975 | 0.9973 | 1.0546 | 0.8889 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Feb 17, 2024
- Updated
- Feb 18, 2024