This model is a fine-tuned version of wu-kiot/whisper-small-am-fleurs on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:

Loss: 0.3756
Wer: 62.7306

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: 5e-05
train_batch_size: 16
eval_batch_size: 32
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: linear
lr_scheduler_warmup_steps: 150
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.2866	1.0	44	0.2855	63.9958
0.1582	2.0	88	0.2958	64.1539
0.0885	3.0	132	0.3311	67.4222
0.0793	4.0	176	0.3700	66.4207
0.0375	5.0	220	0.3756	62.7306

Framework versions

Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 3.2.0
Tokenizers 0.21.0

wu-kiot/whisper-small-fc-am

whisper-small-fc-am

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

wu-kiot/
whisper-small-fc-am