distilbert-food
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2230
- Accuracy: 0.9418
- F1: 0.9621
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.2067 | 1.0 | 683 | 0.1733 | 0.9297 | 0.9550 |
| 0.1333 | 2.0 | 1366 | 0.1925 | 0.9355 | 0.9584 |
| 0.0641 | 3.0 | 2049 | 0.2230 | 0.9418 | 0.9621 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
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Model tree for faezehHZ/distilbert-food
Base model
distilbert/distilbert-base-uncased