palash247/results
By palash247 · ↓ 3 · ♥ 0 · Updated 2024-10-11
What's in this repo
This page lists the files in palash247/results, including model.onnx.
- 1 ONNX models (.onnx files)
- 17 files, including 10 .json, 2 .model, 1 .md, 1 .safetensors, 1 .onnx, 1 .bin
- Last updated 2024-10-11
ONNX files
| File | Size | Download |
|---|---|---|
| onnx/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
results
This model is a fine-tuned version of protectai/deberta-v3-base-prompt-injection-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5060
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6064 | 1.0 | 54 | 1.6097 |
| 1.62 | 2.0 | 108 | 1.6100 |
| 1.6059 | 3.0 | 162 | 1.6076 |
| 1.5734 | 4.0 | 216 | 1.5249 |
| 1.5444 | 5.0 | 270 | 1.5060 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
Model info
Created: 2024-10-11
Updated: 2024-10-11
View on Hugging FaceFiles (17)
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