bert-base-uncased-nsp-50000-1e-06-16
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: 0.2315
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: 64
- 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 |
|---|---|---|---|
| 0.6829 | 1.0 | 782 | 0.6331 |
| 0.589 | 2.0 | 1564 | 0.5425 |
| 0.4436 | 3.0 | 2346 | 0.3892 |
| 0.3601 | 4.0 | 3128 | 0.3341 |
| 0.3181 | 5.0 | 3910 | 0.3010 |
| 0.2893 | 6.0 | 4692 | 0.2816 |
| 0.2736 | 7.0 | 5474 | 0.2711 |
| 0.2505 | 8.0 | 6256 | 0.2626 |
| 0.2277 | 9.0 | 7038 | 0.2539 |
| 0.216 | 10.0 | 7820 | 0.2474 |
| 0.207 | 11.0 | 8602 | 0.2452 |
| 0.212 | 12.0 | 9384 | 0.2398 |
| 0.1956 | 13.0 | 10166 | 0.2384 |
| 0.1794 | 14.0 | 10948 | 0.2374 |
| 0.1894 | 15.0 | 11730 | 0.2358 |
| 0.1731 | 16.0 | 12512 | 0.2358 |
| 0.1717 | 17.0 | 13294 | 0.2315 |
| 0.1652 | 18.0 | 14076 | 0.2349 |
| 0.1647 | 19.0 | 14858 | 0.2353 |
| 0.1565 | 20.0 | 15640 | 0.2349 |
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-nsp-50000-1e-06-16
Base model
google-bert/bert-base-uncased