bert-base-cased-wikitext2
This model is a fine-tuned version of bert-base-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 7.0721
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: 48
- eval_batch_size: 48
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 391 | 7.2240 |
| 7.6715 | 2.0 | 782 | 7.0516 |
| 7.0737 | 3.0 | 1173 | 7.0823 |
Framework versions
- Transformers 4.19.0.dev0
- Pytorch 1.7.1+cu110
- Datasets 2.2.1
- Tokenizers 0.12.1
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