whisper-medium-finetuned-finetuned-finetuned

This model is a fine-tuned version of KevinKibe/whisper-medium-finetuned on the common_voice_16_1 dataset. It achieves the following results on the evaluation set:

• eval_loss: 3.7072
• eval_wer: 110.9650
• eval_runtime: 1067.5914
• eval_samples_per_second: 0.468
• eval_steps_per_second: 0.03
• epoch: 0.25
• step: 25

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: 0.0001
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• training_steps: 100
• mixed_precision_training: Native AMP

Framework versions

• PEFT 0.11.1
• Transformers 4.39.2
• Pytorch 2.2.2+cu121
• Datasets 2.19.2
• Tokenizers 0.15.2