metadata
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bert-base-cased-PubmedQAmodel
results: []
bert-base-cased-PubmedQAmodel
This model is a fine-tuned version of bert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.9589
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 21 | 3.4082 |
| No log | 2.0 | 42 | 3.2677 |
| No log | 3.0 | 63 | 3.1695 |
| No log | 4.0 | 84 | 3.1515 |
| No log | 5.0 | 105 | 3.0953 |
| No log | 6.0 | 126 | 3.0906 |
| No log | 7.0 | 147 | 2.9182 |
| No log | 8.0 | 168 | 3.1660 |
| No log | 9.0 | 189 | 3.1540 |
| No log | 10.0 | 210 | 3.4559 |
| No log | 11.0 | 231 | 3.5064 |
| No log | 12.0 | 252 | 3.7371 |
| No log | 13.0 | 273 | 3.7140 |
| No log | 14.0 | 294 | 3.7878 |
| No log | 15.0 | 315 | 3.8032 |
| No log | 16.0 | 336 | 3.7973 |
| No log | 17.0 | 357 | 3.8729 |
| No log | 18.0 | 378 | 3.9404 |
| No log | 19.0 | 399 | 3.9781 |
| No log | 20.0 | 420 | 3.9589 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3