JohnDoe70/tinyroberta-squad2-finetuned-squad
By JohnDoe70 · ↓ 3 · ♥ 0 · Updated 2024-01-23
What's in this repo
This page lists the files in JohnDoe70/tinyroberta-squad2-finetuned-squad, including model.onnx, model_quantized.onnx.
- 2 ONNX models (.onnx files)
- 13 files, including 5 .json, 2 .onnx, 1 .md, 1 .txt, 1 .safetensors, 1 .0
- Last updated 2024-01-23
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
tinyroberta-squad2-finetuned-squad
This model is a fine-tuned version of JohnDoe70/tinyroberta-squad2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1086
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.118 | 1.0 | 4119 | 0.0958 |
| 0.0857 | 2.0 | 8238 | 0.0864 |
| 0.0639 | 3.0 | 12357 | 0.1086 |
Framework versions
- Transformers 4.37.0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
Model info
Created: 2024-01-23
Updated: 2024-01-23
View on Hugging Face