Ai4Privacy Models
Collection
Models Trained for Ai4Privacy
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7 items
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Updated
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3
mt5-small-ai4privacy
This model is a fine-tuned version of google/mt5-small on ai4privacy/pii-masking-65k 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: 64
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 10
Training results
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.3
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Model tree for Isotonic/mt5-small-ai4privacy
Base model
google/mt5-small