distilbert-base-uncased-finetuned-wos
This model is a fine-tuned version of distilbert-base-uncased on the web_of_science dataset. It achieves the following results on the evaluation set:
- Loss: 2.2025
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.5312 | 1.0 | 357 | 2.2975 |
| 2.3847 | 2.0 | 714 | 2.2568 |
| 2.3388 | 3.0 | 1071 | 2.2108 |
| 2.3076 | 4.0 | 1428 | 2.2158 |
| 2.2887 | 5.0 | 1785 | 2.2154 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3