wdavies/extract-answer-from-text
By wdavies · ↓ 2 · ♥ 0 · Updated 2024-03-25
What's in this repo
This page lists the files in wdavies/extract-answer-from-text, including model.onnx, model_quantized.onnx.
- 2 ONNX models (.onnx files)
- 11 files, including 4 .json, 2 .onnx, 1 .md, 1 .safetensors, 1 .h5, 1 .txt
- Last updated 2024-03-25
ONNX files
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
wdavies/bert-finetuned-squad
This model is a fine-tuned version of bert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.7851
- Epoch: 1
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': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 16635, '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, 'weight_decay_rate': 0.01}
- training_precision: mixed_float16
Training results
| Train Loss | Epoch |
|---|---|
| 1.2783 | 0 |
| 0.7851 | 1 |
Framework versions
- Transformers 4.31.0
- TensorFlow 2.12.0
- Datasets 2.14.2
- Tokenizers 0.13.3
Model info
Created: 2023-08-02
Updated: 2024-03-25
View on Hugging Face