bert-finetuned-combo-textbook-no-context
This model is a fine-tuned version of google-bert/bert-base-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6241
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 8
- 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 |
|---|---|---|---|
| 2.4652 | 1.0 | 2444 | 2.2878 |
| 2.2439 | 2.0 | 4888 | 2.2005 |
| 2.1422 | 3.0 | 7332 | 2.1331 |
| 2.0527 | 4.0 | 9776 | 2.0734 |
| 1.9734 | 5.0 | 12220 | 2.0488 |
| 1.8752 | 6.0 | 14664 | 1.9844 |
| 1.7757 | 7.0 | 17108 | 1.9257 |
| 1.7478 | 8.0 | 19552 | 1.8901 |
| 1.6469 | 9.0 | 21996 | 1.8797 |
| 1.5894 | 10.0 | 24440 | 1.8198 |
| 1.5341 | 11.0 | 26884 | 1.7803 |
| 1.4563 | 12.0 | 29328 | 1.7602 |
| 1.4385 | 13.0 | 31772 | 1.7663 |
| 1.3534 | 14.0 | 34216 | 1.7007 |
| 1.3007 | 15.0 | 36660 | 1.6705 |
| 1.2689 | 16.0 | 39104 | 1.6996 |
| 1.2268 | 17.0 | 41548 | 1.6319 |
| 1.2152 | 18.0 | 43992 | 1.6599 |
| 1.1317 | 19.0 | 46436 | 1.6433 |
| 1.1133 | 20.0 | 48880 | 1.6241 |
Framework versions
- Transformers 4.38.2
- Pytorch 1.13.1+cu116
- Datasets 2.18.0
- Tokenizers 0.15.2