bert-base-uncased-finetuned-mlm-nef-20240320
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: 1.4098
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.9842 | 1.0 | 210 | 1.6738 |
| 1.6466 | 2.0 | 420 | 1.5511 |
| 1.5627 | 3.0 | 630 | 1.5133 |
| 1.518 | 4.0 | 840 | 1.4705 |
| 1.4843 | 5.0 | 1050 | 1.4601 |
| 1.4723 | 6.0 | 1260 | 1.4336 |
| 1.456 | 7.0 | 1470 | 1.4196 |
| 1.4408 | 8.0 | 1680 | 1.4162 |
| 1.4361 | 9.0 | 1890 | 1.4231 |
| 1.4317 | 10.0 | 2100 | 1.4006 |
Framework versions
- Transformers 4.39.0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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