bert-finetuned-combo-textbook
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: 1.6464
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: 1e-05
- 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 |
|---|---|---|---|
| 2.3141 | 1.0 | 2468 | 2.0738 |
| 2.1063 | 2.0 | 4936 | 2.0016 |
| 2.0241 | 3.0 | 7404 | 1.9165 |
| 1.9769 | 4.0 | 9872 | nan |
| 1.897 | 5.0 | 12340 | 1.8370 |
| 1.8501 | 6.0 | 14808 | 1.8046 |
| 1.8182 | 7.0 | 17276 | 1.7854 |
| 1.7648 | 8.0 | 19744 | 1.7328 |
| 1.7409 | 9.0 | 22212 | 1.7238 |
| 1.7486 | 10.0 | 24680 | 1.7043 |
| 1.6753 | 11.0 | 27148 | 1.7076 |
| 1.6833 | 12.0 | 29616 | 1.6704 |
| 1.6684 | 13.0 | 32084 | 1.6873 |
| 1.6092 | 14.0 | 34552 | 1.6702 |
| 1.6077 | 15.0 | 37020 | 1.6972 |
| 1.6271 | 16.0 | 39488 | 1.6379 |
| 1.6159 | 17.0 | 41956 | 1.6624 |
| 1.5678 | 18.0 | 44424 | 1.6646 |
| 1.5857 | 19.0 | 46892 | 1.6290 |
| 1.5741 | 20.0 | 49360 | 1.6464 |
Framework versions
- Transformers 4.38.2
- Pytorch 1.13.1+cu116
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
google-bert/bert-base-cased