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distilbert-base-cased-reward-neurallinguisticpioneers
This model is a fine-tuned version of distilbert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2411
- Mse: 3.7748
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: 32
- eval_batch_size: 32
- 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 | Mse |
---|---|---|---|---|
1.4559 | 1.0 | 122 | 0.6534 | 3.4024 |
0.5476 | 2.0 | 244 | 0.5601 | 3.8827 |
0.4224 | 3.0 | 366 | 0.4717 | 3.8263 |
0.3534 | 4.0 | 488 | 0.3511 | 3.7530 |
0.2827 | 5.0 | 610 | 0.2960 | 3.8889 |
0.2541 | 6.0 | 732 | 0.2416 | 3.5817 |
0.2289 | 7.0 | 854 | 0.3085 | 4.0660 |
0.1997 | 8.0 | 976 | 0.3212 | 3.4440 |
0.1889 | 9.0 | 1098 | 0.2852 | 3.9351 |
0.1752 | 10.0 | 1220 | 0.2360 | 3.8505 |
0.1683 | 11.0 | 1342 | 0.2939 | 4.1039 |
0.1601 | 12.0 | 1464 | 0.3242 | 4.0499 |
0.155 | 13.0 | 1586 | 0.2297 | 3.8442 |
0.1478 | 14.0 | 1708 | 0.2707 | 3.8680 |
0.1439 | 15.0 | 1830 | 0.2582 | 3.8703 |
0.1462 | 16.0 | 1952 | 0.2411 | 3.7748 |
Framework versions
- Transformers 4.27.3
- Pytorch 1.13.0+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3