hangman-bert-base-2
This model is a fine-tuned version of vaibhav9/hangman-bert-base-2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.0054
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: 32
- eval_batch_size: 32
- 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 |
|---|---|---|---|
| 2.0245 | 1.0 | 2609 | 2.0118 |
| 2.0108 | 2.0 | 5218 | 2.0105 |
| 2.0092 | 3.0 | 7827 | 2.0054 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1
- Datasets 2.14.5
- Tokenizers 0.13.3