This model is a fine-tuned version of openai/whisper-small on the IoanaLivia/RealVoiceSynthVoice-2000-1-Emil-Neural dataset. It achieves the following results on the evaluation set:

Loss: 0.3612
Wer: 15.3052

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: 32
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
No log	0	0	0.6024	27.8812
0.2408	1.0	76	0.3826	16.9648
0.0817	2.0	152	0.3538	15.7477
0.04	3.0	228	0.3612	15.3052
0.0221	4.0	304	0.3800	16.3009
0.015	5.0	380	0.3931	17.1492

Framework versions

Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1