Isotonic/mt5-small-ai4privacy
By Isotonic · ↓ 1 · ♥ 1 · Updated 2023-09-14
What's in this repo
This page lists the files in Isotonic/mt5-small-ai4privacy, including decoder_model.onnx, decoder_model_merged.onnx, decoder_with_past_model.onnx and more.
- 4 ONNX models (.onnx files)
- 21 files, including 10 .json, 4 .onnx, 2 .model, 2 .bin, 1 .md, 1 .safetensors
- Last updated 2023-09-14
ONNX files
| File | Size | Download |
|---|---|---|
| onnx/decoder_model.onnx | — | Download |
| onnx/decoder_model_merged.onnx | — | Download |
| onnx/decoder_with_past_model.onnx | — | Download |
| onnx/encoder_model.onnx | — | Download |
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
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
Model info
Created: 2023-08-31
Updated: 2023-09-14
View on Hugging Face