metadata
tags:
- generated_from_trainer
model-index:
- name: ko-jeolla-nmt-v2
results: []
ko-jeolla-nmt-v2
This model is a fine-tuned version of leadawon/ko-jeolla-nmt-v1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2911
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: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2926 | 0.17 | 500 | 0.3283 |
| 0.3111 | 0.33 | 1000 | 0.3344 |
| 0.3009 | 0.5 | 1500 | 0.3138 |
| 0.2868 | 0.66 | 2000 | 0.3030 |
| 0.2653 | 0.83 | 2500 | 0.2969 |
| 0.2493 | 0.99 | 3000 | 0.2911 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Tokenizers 0.13.2