AdaCodruta/whisper_large_v3_turbo_common_voice_17

Whisper Large_v2 RO CV17

This model is a fine-tuned version of openai/whisper-large-v3-turbo on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.1703
• Wer: 11.1934

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: 16
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 5000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0921	1.7730	1000	0.1649	14.1850
0.0449	3.5461	2000	0.1538	14.7655
0.0205	5.3191	3000	0.1531	12.1407
0.0055	7.0922	4000	0.1638	11.6279
0.0012	8.8652	5000	0.1703	11.1934

Framework versions

• Transformers 4.40.2
• Pytorch 2.5.1+cu118
• Datasets 3.1.0
• Tokenizers 0.19.1