vazish/fine-tuned-distilbert-autofill
By vazish · ↓ 8 · ♥ 0 · Updated 2024-09-20
What's in this repo
This page lists the files in vazish/fine-tuned-distilbert-autofill, including model.onnx, model_quantized.onnx.
- 2 ONNX models (.onnx files)
- 12 files, including 5 .json, 2 .onnx, 1 .md, 1 .safetensors, 1 .bin, 1 .txt
- Last updated 2024-09-20
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
fine-tuned-distilbert-autofill
This model is a fine-tuned version of distilbert/distilbert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2367
- Precision: 0.9484
- Recall: 0.9473
- F1: 0.9473
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
Framework versions
- Transformers 4.44.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
Model info
Created: 2024-08-28
Updated: 2024-09-20
View on Hugging Face