output_dir2

This model is a fine-tuned version of cifope/nllb-200-en-twi-v4-1.3B on the None dataset. It achieves the following results on the evaluation set:

• eval_rouge: 0.8878
• eval_loss: 4.8689
• eval_rouge1: 0.9058
• eval_rouge2: 0.8579
• eval_rougeL: 0.8996
• eval_runtime: 118.7194
• eval_samples_per_second: 6.065
• eval_steps_per_second: 0.379
• epoch: 0.47
• step: 100

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: 0.0001
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 3
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.38.2
• Pytorch 2.4.0+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2