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 bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9495
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 |
|---|---|---|---|
| 1.2324 | 1.0 | 173063 | 1.1395 |
| 1.1025 | 2.0 | 346126 | 1.0549 |
| 0.9952 | 3.0 | 519189 | 0.9814 |
| 1.029 | 4.0 | 692252 | 0.9495 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.1.0
- Tokenizers 0.12.1