distil_whisper_til

This model is a fine-tuned version of distil-whisper/distil-large-v2 on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.0001
• eval_wer: 0.0083
• eval_runtime: 1661.951
• eval_samples_per_second: 2.106
• eval_steps_per_second: 0.264
• epoch: 1.5982
• step: 700

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: 8
• 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: 10
• training_steps: 4000

Framework versions

• Transformers 4.41.1
• Pytorch 2.3.0+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1