whisper-small-mongolian

• eval_loss: 0.0255
• eval_wer: 3.9864
• eval_runtime: 1588.8988
• eval_samples_per_second: 1.17
• eval_steps_per_second: 0.147
• epoch: 2.3112
• step: 1500

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 1e-05
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 1000
• training_steps: 3000
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.40.1
• Pytorch 2.2.1+cu121
• Datasets 2.19.0
• Tokenizers 0.19.1