|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: roberta-base-culinary |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# roberta-base-culinary |
|
|
|
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.1108 |
|
|
|
## 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: 16 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:------:|:---------------:| |
|
| 1.5688 | 1.0 | 39865 | 1.4449 | |
|
| 1.4332 | 2.0 | 79730 | 1.3822 | |
|
| 1.277 | 3.0 | 119595 | 1.3387 | |
|
| 1.3483 | 4.0 | 159460 | 1.2833 | |
|
| 1.2675 | 5.0 | 199325 | nan | |
|
| 1.2381 | 6.0 | 239190 | 1.2546 | |
|
| 1.1841 | 7.0 | 279055 | 1.2204 | |
|
| 1.1608 | 8.0 | 318920 | 1.2095 | |
|
| 1.2045 | 9.0 | 358785 | 1.1817 | |
|
| 1.1401 | 10.0 | 398650 | 1.1810 | |
|
| 1.0748 | 11.0 | 438515 | 1.1499 | |
|
| 1.0857 | 12.0 | 478380 | 1.1345 | |
|
| 1.0561 | 13.0 | 518245 | 1.1332 | |
|
| 1.0431 | 14.0 | 558110 | 1.1127 | |
|
| 1.0273 | 15.0 | 597975 | 1.1091 | |
|
| 1.0275 | 16.0 | 637840 | 1.1108 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.22.1 |
|
- Pytorch 1.12.1+cu113 |
|
- Datasets 2.4.0 |
|
- Tokenizers 0.12.1 |
|
|
