opus-mt-ft

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-id on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.3055
• eval_exact_match: 1.0
• eval_runtime: 9.9977
• eval_samples_per_second: 4.001
• eval_steps_per_second: 0.5
• epoch: 5.0
• step: 25

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Framework versions

• Transformers 4.40.2
• Pytorch 2.2.1+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1