dearkarina/my_miniroberta_model
By dearkarina · ↓ 2 · ♥ 0 · Updated 2024-08-14
What's in this repo
This page lists the files in dearkarina/my_miniroberta_model, including model_quantized.onnx.
- 1 ONNX models (.onnx files)
- 13 files, including 5 .json, 1 .md, 1 .txt, 1 .safetensors, 1 .onnx, 1 .6
- Last updated 2024-08-14
ONNX files
| File | Size | Download |
|---|---|---|
| onnx/model_quantized.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
my_miniroberta_model
This model is a fine-tuned version of distilbert/distilroberta-base on the financial_phrasebank dataset. It achieves the following results on the evaluation set:
- Loss: 0.1663
- Accuracy: 0.9713
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 | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 227 | 0.2026 | 0.9338 |
| No log | 2.0 | 454 | 0.1337 | 0.9669 |
| 0.2375 | 3.0 | 681 | 0.1639 | 0.9713 |
| 0.2375 | 4.0 | 908 | 0.1499 | 0.9735 |
| 0.0176 | 5.0 | 1135 | 0.1663 | 0.9713 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
Model info
Created: 2024-08-14
Updated: 2024-08-14
View on Hugging FaceFiles (13)
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