meta-nllb-600m-mt-en-twi-v2

This model is a fine-tuned version of facebook/nllb-200-distilled-600M on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.0785
• eval_model_preparation_time: 0.0071
• eval_rouge1: 0.9074
• eval_bleu: 77.7922
• eval_runtime: 195.9784
• eval_samples_per_second: 8.817
• eval_steps_per_second: 0.551
• epoch: 13.0
• step: 7800

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: 3e-05
• train_batch_size: 8
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 60
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.44.2
• Pytorch 2.3.0+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1