pszemraj/deberta-v3-xsmall-CoLA
By pszemraj · ↓ 1 · ♥ 0 · Updated 2025-12-29
What's in this repo
This page lists the files in pszemraj/deberta-v3-xsmall-CoLA, including model.onnx.
- 1 ONNX models (.onnx files)
- 18 files, including 9 .json, 2 .bin, 1 .md, 1 .onnx, 1 .safetensors, 1 .txt
- Last updated 2025-12-29
ONNX files
| File | Size | Download |
|---|---|---|
| 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
deberta-v3-xsmall-CoLA
This model is a fine-tuned version of microsoft/deberta-v3-xsmall on the GLUE COLA dataset. It achieves the following results on the evaluation set:
- Loss: 0.4237
- Matthews Correlation: 0.5895
Model description
Trying to find a decent optimum between accuracy/quality and inference speed.
{
"epoch": 3.0,
"eval_loss": 0.423,
"eval_matthews_correlation": 0.589,
"eval_runtime": 5.0422,
"eval_samples": 1043,
"eval_samples_per_second": 206.853,
"eval_steps_per_second": 51.763
}
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: 6e-05
- train_batch_size: 32
- eval_batch_size: 4
- seed: 16105
- distributed_type: multi-GPU
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|---|---|---|---|---|
| 0.3945 | 1.0 | 67 | 0.4323 | 0.5778 |
| 0.3214 | 2.0 | 134 | 0.4237 | 0.5895 |
| 0.3059 | 3.0 | 201 | 0.4636 | 0.5795 |
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.8.0
- Tokenizers 0.13.1
Model info
Created: 2023-01-26
Updated: 2025-12-29
View on Hugging Face