Helsinki_en-mul_test_01
This model is a fine-tuned version of Shularp/Helsinki_en-mul_test on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0276
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.2373 | 1.0 | 4777 | 1.1392 |
| 1.1799 | 2.0 | 9554 | 1.0504 |
| 0.984 | 3.0 | 14331 | 1.0276 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
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