whisper-finetuned-v3_30e_augment_new

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whisper-finetuned-v3_30e_augment_new

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• epoch: 30.0
• eval_cer: 27.6678
• eval_loss: 0.1077
• eval_runtime: 688.6506
• eval_samples_per_second: 0.839
• eval_steps_per_second: 0.42
• eval_wer: 52.3943
• step: 58500

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: 2
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 4
• 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: 500
• num_epochs: 30
• mixed_precision_training: Native AMP

Framework versions

• Transformers 5.3.0
• Pytorch 2.10.0+cu128
• Datasets 2.18.0
• Tokenizers 0.22.2