IoanaLiviaPopescu/ IoanaLiviaPopescu/real-data-synth-data-2400-1-Emil-whisper-small

This model is a fine-tuned version of openai/whisper-small on the IoanaLivia/RealVoiceSynthVoice-2400-1-Emil-Neural dataset. It achieves the following results on the evaluation set:

• Loss: 0.3612
• Wer: 14.6229

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
0.2187	1.0	88	0.3707	17.1861
0.0723	2.0	176	0.3540	15.4158
0.0351	3.0	264	0.3612	14.6229
0.0189	4.0	352	0.3806	15.9137
0.0129	5.0	440	0.3933	16.0981

Framework versions

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