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: 1.0820
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 |
---|---|---|---|
1.3285 | 1.0 | 72679 | 1.2932 |
1.1837 | 2.0 | 145358 | nan |
1.1466 | 3.0 | 218037 | 1.1180 |
1.0833 | 4.0 | 290716 | 1.0820 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1