distilwhisper_finetune

This model is a fine-tuned version of distil-whisper/distil-large-v3 on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.0432
• eval_wer: 3.2604
• eval_runtime: 848.1823
• eval_samples_per_second: 0.825
• eval_steps_per_second: 0.104
• epoch: 1.7857
• step: 250

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: 20
• 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: 100
• training_steps: 1000
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.41.0
• Pytorch 2.2.1+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1