whisper-small-ru-v12nt

This model is a fine-tuned version of constantinedivis/whisper-small-ru-v11nt on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.1686
• eval_wer: 13.2917
• eval_runtime: 279.771
• eval_samples_per_second: 3.574
• eval_steps_per_second: 0.114
• epoch: 3.2
• step: 1600

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: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Use adamw_torch 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
• training_steps: 2000
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.49.0
• Pytorch 2.1.0+cu118
• Datasets 3.3.2
• Tokenizers 0.21.0