metadata
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilroberta-base-culinary
results: []
distilroberta-base-culinary
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: nan
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 |
|---|---|---|---|
| 1.3161 | 1.0 | 73038 | 1.3425 |
| 1.1902 | 2.0 | 146076 | 1.2345 |
| 1.2465 | 3.0 | 219114 | 1.1495 |
| 1.1919 | 4.0 | 292152 | nan |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1