whisper-small-yue-full

This model is a fine-tuned version of wcyat/whisper-small-yue on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.2532
• eval_cer: 11.9313
• eval_runtime: 1178.2632
• eval_samples_per_second: 2.191
• eval_steps_per_second: 0.137
• step: 0

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: 1e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 2000
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.38.0.dev0
• Pytorch 2.1.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.1