jacobgill37/rio-model
By jacobgill37 · ↓ 1 · ♥ 0 · Updated 2025-05-21
What's in this repo
This page lists the files in jacobgill37/rio-model, including model.onnx.
- 1 ONNX models (.onnx files)
- 7 files, including 2 .json, 1 .md, 1 .safetensors, 1 .onnx, 1 .bin
- Last updated 2025-05-21
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
rio-model
This model is a fine-tuned version of MIT/ast-finetuned-audioset-10-10-0.4593 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1567
- Accuracy: 0.96
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.597 | 1.0 | 28 | 0.1618 | 0.92 |
| 0.1129 | 2.0 | 56 | 0.7487 | 0.8 |
| 0.0545 | 3.0 | 84 | 0.0181 | 1.0 |
| 0.001 | 4.0 | 112 | 0.7661 | 0.84 |
| 0.0003 | 5.0 | 140 | 0.1578 | 0.96 |
| 0.0001 | 6.0 | 168 | 0.1282 | 0.96 |
| 0.0001 | 7.0 | 196 | 0.1429 | 0.96 |
| 0.0 | 8.0 | 224 | 0.1519 | 0.96 |
| 0.0 | 9.0 | 252 | 0.1562 | 0.96 |
| 0.0 | 10.0 | 280 | 0.1567 | 0.96 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
Model info
Created: 2025-05-20
Updated: 2025-05-21
View on Hugging FaceFiles (7)
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