rauma-gpt-large
This model is a fine-tuned version of TurkuNLP/gpt3-finnish-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.7480
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.0741 | 1.0 | 733 | 3.3609 |
| 3.0833 | 2.0 | 1466 | 2.9054 |
| 1.8199 | 3.0 | 2199 | 2.7480 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1