metadata
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: distilroberta-base-culinary
results: []
distilroberta-base-culinary
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1049
- F1: 0.9849
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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.1718 | 0.5 | 500 | 0.0960 | 0.9819 |
| 0.1554 | 1.0 | 1000 | 0.0701 | 0.9819 |
| 0.0752 | 1.51 | 1500 | 0.1325 | 0.9699 |
| 0.0669 | 2.01 | 2000 | 0.0880 | 0.9849 |
| 0.0312 | 2.51 | 2500 | 0.1450 | 0.9759 |
| 0.0287 | 3.01 | 3000 | 0.0962 | 0.9819 |
| 0.0098 | 3.51 | 3500 | 0.1049 | 0.9849 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1