metadata
library_name: transformers
license: cc-by-4.0
base_model: Helsinki-NLP/opus-mt-tc-big-en-ko
tags:
- tanslation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: finetuned-aihub-full-en-to-ko
results: []
finetuned-aihub-full-en-to-ko
This model is a fine-tuned version of Helsinki-NLP/opus-mt-tc-big-en-ko on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7416
- Model Preparation Time: 0.004
- Bleu: 22.2334
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: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1