twi-nllb-asr-repair

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

• eval_loss: 0.3427
• eval_cer: 2.2415
• eval_runtime: 1404.1209
• eval_samples_per_second: 2.149
• eval_steps_per_second: 0.269
• epoch: 7.0
• step: 5943

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
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 200
• num_epochs: 10

Framework versions

• Transformers 4.56.0
• Pytorch 2.8.0+cu129
• Tokenizers 0.22.0