ml-projects/clickbait-ml_bert
By ml-projects · ↓ 0 · ♥ 0 · Updated 2023-06-13
What's in this repo
This page lists the files in ml-projects/clickbait-ml_bert, including model_quantized.onnx.
- 1 ONNX models (.onnx files)
- 9 files, including 4 .json, 1 .md, 1 .onnx, 1 .h5, 1 .txt
- Last updated 2023-06-13
ONNX files
| File | Size | Download |
|---|---|---|
| onnx/model_quantized.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
clickbait-ml_bert
This model is a fine-tuned version of bert-base-german-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.6057
- Validation Loss: 0.6160
- Train Accuracy: 0.8235
- Epoch: 3
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:
- optimizer: {'name': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 8, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Train Accuracy | Epoch |
|---|---|---|---|
| 0.7115 | 0.6299 | 0.8235 | 0 |
| 0.6071 | 0.6160 | 0.8235 | 1 |
| 0.5783 | 0.6160 | 0.8235 | 2 |
| 0.6057 | 0.6160 | 0.8235 | 3 |
Framework versions
- Transformers 4.30.1
- TensorFlow 2.12.0
- Datasets 2.12.0
- Tokenizers 0.13.3
Model info
Created: 2023-06-11
Updated: 2023-06-13
View on Hugging FaceFiles (9)
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