metadata
base_model: Helsinki-NLP/opus-mt-tc-big-en-ko
library_name: peft
license: cc-by-4.0
metrics:
- bleu
tags:
- tanslation
- generated_from_trainer
model-index:
- name: finetuned-aihub-en-to-ko-lora
results: []
finetuned-aihub-en-to-ko-lora
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: 3.9319
- Model Preparation Time: 0.0124
- Bleu: 3.2815
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
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1