pitangent-ds/distilbert-base-imdb
By pitangent-ds · ↓ 10 · ♥ 0 · Updated 2023-12-11
What's in this repo
This page lists the files in pitangent-ds/distilbert-base-imdb, including model.onnx, model_optimized_quantized.onnx.
- 2 ONNX models (.onnx files)
- 15 files, including 6 .json, 2 .onnx, 1 .md, 1 .safetensors, 1 .0, 1 .1
- Last updated 2023-12-11
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
distilbert-base-imdb
This model is a fine-tuned version of distilbert-base-cased on the imdb dataset. It achieves the following results on the evaluation set:
- Loss: 0.3490
- Accuracy: 0.9315
- Matthews Correlation: 0.8630
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: 32
- eval_batch_size: 320
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Matthews Correlation |
|---|---|---|---|---|---|
| 0.2597 | 1.0 | 1250 | 0.1997 | 0.921 | 0.8426 |
| 0.165 | 2.0 | 2500 | 0.1839 | 0.9291 | 0.8582 |
| 0.0788 | 3.0 | 3750 | 0.2218 | 0.9308 | 0.8617 |
| 0.0235 | 4.0 | 5000 | 0.3490 | 0.9315 | 0.8630 |
| 0.0123 | 5.0 | 6250 | 0.3721 | 0.9314 | 0.8628 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
Model info
Created: 2023-12-01
Updated: 2023-12-11
View on Hugging Face