This model is a fine-tuned version of openai/whisper-tiny.en on the common_voice_1_0 dataset. It achieves the following results on the evaluation set:

Loss: 0.6704
Wer Ortho: 29.3851
Wer: 20.7154

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-06
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 100
training_steps: 1000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Ortho	Wer
0.2787	0.1647	100	0.6732	29.2789	20.7342
0.2382	0.3295	200	0.6746	29.2306	20.6731
0.2696	0.4942	300	0.6757	29.1196	20.5793
0.254	0.6590	400	0.6745	29.3223	20.6638
0.2935	0.8237	500	0.6737	29.3658	20.6591
0.2757	0.9885	600	0.6704	29.3851	20.7154

Framework versions

Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 2.14.6
Tokenizers 0.21.1

ahmedlh/whisper-tiny-en_v9

whisper-tiny-en_v9

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

ahmedlh/
whisper-tiny-en_v9