TestHelsinkimulEnJpTh02
This model is a fine-tuned version of Shularp/TestHelsinkimulEnJpTh02 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1630
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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4364 | 1.0 | 4846 | 0.2666 |
| 0.1094 | 2.0 | 9692 | 0.2277 |
| 0.0484 | 3.0 | 14538 | 0.1940 |
| 0.0111 | 4.0 | 19384 | 0.1749 |
| 0.0105 | 5.0 | 24230 | 0.1630 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3