bert-base-uncased-MLM-scirepeval_fos_chemistry-textCLS-RHEOLOGY
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6551
- Accuracy: 0.7516
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: 32
- eval_batch_size: 32
- 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 | Accuracy |
|---|
| 1.1845 | 1.0 | 46 | 0.9103 | 0.6646 |
| 0.7371 | 2.0 | 92 | 0.7486 | 0.7143 |
| 0.5444 | 3.0 | 138 | 0.6675 | 0.7267 |
| 0.4092 | 4.0 | 184 | 0.6496 | 0.7516 |
| 0.3399 | 5.0 | 230 | 0.6551 | 0.7516 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.2
