metadata
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: roberta-base-culinary
results: []
roberta-base-culinary
This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2586
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7143 | 1.0 | 22655 | 1.5815 |
| 1.5183 | 2.0 | 45310 | 1.5212 |
| 1.4607 | 3.0 | 67965 | 1.4339 |
| 1.397 | 4.0 | 90620 | 1.3838 |
| 1.4282 | 5.0 | 113275 | 1.3366 |
| 1.2718 | 6.0 | 135930 | 1.3315 |
| 1.2505 | 7.0 | 158585 | 1.2756 |
| 1.2611 | 8.0 | 181240 | 1.2684 |
| 1.1754 | 9.0 | 203895 | 1.2461 |
| 1.1871 | 10.0 | 226550 | 1.2586 |
Framework versions
- Transformers 4.22.0
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1