boisz/whisper_american_LR_2e-5_1900

Whisper tiny American

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

• Loss: 0.2024
• Wer: 10.1534

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: 2e-05
• train_batch_size: 2
• eval_batch_size: 1
• seed: 42
• 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
• training_steps: 1900

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.1802	0.9452	1000	0.2235	14.5147
0.0606	1.7958	1900	0.2024	10.1534

Framework versions

• Transformers 5.5.0.dev0
• Pytorch 2.10.0+cu128
• Datasets 4.8.4
• Tokenizers 0.22.2