bert_finetune_onearticle_microbiology
This model is a fine-tuned version of bert-base-cased on the None 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
- lr_scheduler_warmup_steps: 10000
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0 | 1.0 | 1401 | nan |
| 0.0 | 2.0 | 2802 | nan |
| 6.1704 | 3.0 | 4203 | nan |
| 5.7235 | 4.0 | 5604 | nan |
| 0.0 | 5.0 | 7005 | nan |
| 5.8892 | 6.0 | 8406 | nan |
| 6.2034 | 7.0 | 9807 | nan |
| 6.0771 | 8.0 | 11208 | nan |
| 5.0591 | 9.0 | 12609 | nan |
| 5.4144 | 10.0 | 14010 | nan |
| 0.0 | 11.0 | 15411 | nan |
| 0.0 | 12.0 | 16812 | nan |
| 0.0 | 13.0 | 18213 | nan |
| 5.2497 | 14.0 | 19614 | nan |
| 5.3274 | 15.0 | 21015 | nan |
| 0.0 | 16.0 | 22416 | nan |
| 3.1963 | 17.0 | 23817 | nan |
| 0.0 | 18.0 | 25218 | nan |
| 5.9954 | 19.0 | 26619 | nan |
| 0.0 | 20.0 | 28020 | nan |
Framework versions
- Transformers 4.34.1
- Pytorch 2.0.0+cu117
- Datasets 2.14.5
- Tokenizers 0.14.1