bert-base-uncased-pp-5000-1e-06-8
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6870
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: 1e-06
- train_batch_size: 32
- eval_batch_size: 1024
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 157 | 0.6950 |
| 0.7008 | 2.0 | 314 | 0.6934 |
| 0.6953 | 3.0 | 471 | 0.6926 |
| 0.6904 | 4.0 | 628 | 0.6914 |
| 0.6904 | 5.0 | 785 | 0.6909 |
| 0.692 | 6.0 | 942 | 0.6902 |
| 0.6864 | 7.0 | 1099 | 0.6891 |
| 0.6845 | 8.0 | 1256 | 0.6886 |
| 0.679 | 9.0 | 1413 | 0.6877 |
| 0.679 | 10.0 | 1570 | 0.6876 |
| 0.6786 | 11.0 | 1727 | 0.6872 |
| 0.6756 | 12.0 | 1884 | 0.6871 |
| 0.6721 | 13.0 | 2041 | 0.6871 |
| 0.6721 | 14.0 | 2198 | 0.6870 |
| 0.6702 | 15.0 | 2355 | 0.6870 |
| 0.6649 | 16.0 | 2512 | 0.6873 |
| 0.6631 | 17.0 | 2669 | 0.6877 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for mhr2004/bert-base-uncased-pp-5000-1e-06-8
Base model
google-bert/bert-base-uncased