IoanaLiviaPopescu/IoanaLiviaPopescu/real-data-synth-data-400-2-Wavnet-B-Wavnet-B-whisper-small-v0

This model is a fine-tuned version of openai/whisper-small on the IoanaLiviaPopescu/RealVoiceSynthVoice-400-2-Wavnet-B dataset. It achieves the following results on the evaluation set:

• Loss: 0.3999
• Wer: 17.8868

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
0.3857	1.0	26	0.4413	19.5095
0.1796	2.0	52	0.3877	17.9974
0.1036	3.0	78	0.3856	18.1818
0.0699	4.0	104	0.3975	17.9237
0.0539	5.0	130	0.3999	17.8868

Framework versions

• Transformers 4.51.3
• Pytorch 2.6.0+cu124
• Datasets 3.6.0
• Tokenizers 0.21.1