my_awesome_bert_mlm_model
This model is a fine-tuned version of google-bert/bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: nan
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6177 | 1.0 | 2495 | nan |
| 0.4897 | 2.0 | 4990 | nan |
| 0.52 | 3.0 | 7485 | nan |
| 0.4819 | 4.0 | 9980 | nan |
| 0.4579 | 5.0 | 12475 | nan |
| 0.4826 | 6.0 | 14970 | nan |
| 0.4627 | 7.0 | 17465 | nan |
| 0.4844 | 8.0 | 19960 | nan |
| 0.372 | 9.0 | 22455 | nan |
| 0.4473 | 10.0 | 24950 | nan |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Tokenizers 0.19.1
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Base model
google-bert/bert-base-uncased