<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
bert-base-uncased-mlm
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: 1.7425
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 16
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.2248 | 1.0 | 38 | 1.9818 |
| 1.9124 | 2.0 | 76 | 1.8334 |
| 1.8166 | 3.0 | 114 | 1.7863 |
| 1.7414 | 4.0 | 152 | 1.9024 |
| 1.6727 | 5.0 | 190 | 1.7832 |
| 1.5969 | 6.0 | 228 | 1.8033 |
| 1.5023 | 7.0 | 266 | 1.5792 |
| 1.4593 | 8.0 | 304 | 1.7809 |
| 1.4825 | 9.0 | 342 | 1.6362 |
| 1.3928 | 10.0 | 380 | 1.6409 |
| 1.386 | 11.0 | 418 | 1.6855 |
| 1.3579 | 12.0 | 456 | 1.7348 |
| 1.2951 | 13.0 | 494 | 1.6956 |
| 1.3187 | 14.0 | 532 | 1.8408 |
| 1.3065 | 15.0 | 570 | 1.6207 |
| 1.3496 | 16.0 | 608 | 1.7425 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.10.0+cu111
- Datasets 2.0.0
- Tokenizers 0.11.6
