K-12BERT-reward-neurallinguisticpioneers
This model is a fine-tuned version of vasugoel/K-12BERT on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2926
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: 5e-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: constant
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0129 | 1.0 | 244 | 0.4501 |
| 0.5275 | 2.0 | 488 | 0.5272 |
| 0.3624 | 3.0 | 732 | 0.3435 |
| 0.3053 | 4.0 | 976 | 0.2740 |
| 0.2485 | 5.0 | 1220 | 0.2465 |
| 0.2157 | 6.0 | 1464 | 0.2992 |
| 0.1942 | 7.0 | 1708 | 0.2495 |
| 0.1751 | 8.0 | 1952 | 0.2605 |
| 0.175 | 9.0 | 2196 | 0.2192 |
| 0.1553 | 10.0 | 2440 | 0.2790 |
| 0.1449 | 11.0 | 2684 | 0.2566 |
| 0.1472 | 12.0 | 2928 | 0.2547 |
| 0.1443 | 13.0 | 3172 | 0.2600 |
| 0.1375 | 14.0 | 3416 | 0.3310 |
Framework versions
- Transformers 4.27.3
- Pytorch 1.13.0+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3