nllb-200-distilled-600M-eng-mya

This model is a fine-tuned version of facebook/nllb-200-distilled-600M on the Helsinki-NLP/opus-100 dataset. It achieves the following results on the evaluation set:

• eval_loss: 3.8312
• eval_bleu: 10.6633
• eval_gen_len: 18.196
• eval_runtime: 192.4759
• eval_samples_per_second: 2.598
• eval_steps_per_second: 2.598
• epoch: 0.98
• step: 24000

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: 1
• eval_batch_size: 1
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 6

Framework versions

• Transformers 4.38.2
• Pytorch 2.6.0+cu124
• Datasets 2.18.0
• Tokenizers 0.15.2