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bert_uncased_L-4_H-256_A-4-finetuned-hangman-finetuned-hangman
This model is a fine-tuned version of vaibhav9/bert_uncased_L-4_H-256_A-4-finetuned-hangman on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.6879
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: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.1734 | 1.0 | 22730 | 2.6784 |
| 2.1693 | 2.0 | 45460 | 2.6760 |
| 2.1692 | 3.0 | 68190 | 2.6879 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
