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chembert_cased-MLM-chemistry
This model is a fine-tuned version of jiangg/chembert_cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.1485
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 |
|---|---|---|---|
| 2.6478 | 1.0 | 683 | 2.3777 |
| 2.4088 | 2.0 | 1366 | 2.2350 |
| 2.3112 | 3.0 | 2049 | 2.1976 |
| 2.2641 | 4.0 | 2732 | 2.1444 |
| 2.2392 | 5.0 | 3415 | 2.1437 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
