rauma-gpt-XL
This model is a fine-tuned version of TurkuNLP/gpt3-finnish-XL on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.5589
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 |
|---|---|---|---|
| 3.9518 | 1.0 | 734 | 3.2457 |
| 2.9124 | 2.0 | 1468 | 2.7488 |
| 1.5108 | 3.0 | 2202 | 2.5589 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1