jeolla-ko-nmt-v1
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.199624
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: 24
- eval_batch_size: 24
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 96
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 6
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.525000 | 1.0 | 3017 | 0.424946 |
| 0.318700 | 2.0 | 6034 | 0.285191 |
| 0.244100 | 3.0 | 9051 | 0.237215 |
| 0.195900 | 4.0 | 12068 | 0.216691 |
| 0.160500 | 5.0 | 15085 | 0.203532 |
| 0.135400 | 6.0 | 18092 | 0.199624 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Tokenizers 0.13.2
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