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bert-base-uncased-MLM-fos-chemistry
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: 5.3995
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 7.1312 | 1.0 | 211 | 6.1375 |
| 5.9819 | 2.0 | 422 | 5.7641 |
| 5.7234 | 3.0 | 633 | 5.6039 |
| 5.5776 | 4.0 | 844 | 5.4360 |
| 5.4826 | 5.0 | 1055 | 5.4316 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
