ub_model
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.1722
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.464 | 1.0 | 6516 | 2.3544 |
| 2.2053 | 2.0 | 13032 | 2.2005 |
| 1.9738 | 3.0 | 19548 | 2.1722 |
Framework versions
- Transformers 4.30.1
- Pytorch 1.13.1+cu116
- Datasets 2.12.0
- Tokenizers 0.13.3