whisper-small-en-notpretrained

This model is a fine-tuned version of openai/whisper-small on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:

• Loss: 5.2550
• Wer: 103.2792

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: 16
• eval_batch_size: 8
• seed: 42
• optimizer: Use adamw_torch 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
• training_steps: 4000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
5.8761	0.0166	1000	5.6410	100.5027
5.5313	0.0332	2000	5.3679	104.4272
5.4119	0.0497	3000	5.2869	114.7152
5.4158	0.0663	4000	5.2550	103.2792

Framework versions

• Transformers 4.46.1
• Pytorch 2.5.1
• Datasets 2.19.1
• Tokenizers 0.20.1