zuazo/whisper-tiny-eu-cv22.0

openai/whisper-tiny

This model is a fine-tuned version of openai/whisper-tiny on the common_voice_22_0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.6814
• Wer: 20.4561

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: 3.75e-05
• train_batch_size: 256
• eval_batch_size: 128
• 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: 500
• training_steps: 100000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0003	43.1034	5000	0.5045	21.9783
0.0	86.2069	10000	0.6353	22.5083
0.0	129.3103	15000	0.5335	20.2152
0.0	172.4138	20000	0.6182	20.4882
0.0	215.5172	25000	0.7206	20.8466
0.0	258.6207	30000	0.8050	21.2193
0.0	301.7241	35000	0.6262	20.5338
0.0	344.8276	40000	0.6814	20.4561

Framework versions

• Transformers 4.52.3
• Pytorch 2.6.0+cu124
• Datasets 3.6.0
• Tokenizers 0.21.1