AlexMo/FIFA_WC22_WINNER_LANGUAGE_MODEL

whisper-lt-finetune

This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.2588
• Wer: 14.2619

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: 250
• training_steps: 4000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0783	1.3	1000	0.2478	15.5647
0.0287	2.6	2000	0.2441	14.3765
0.0087	3.9	3000	0.2516	14.3349
0.0021	5.19	4000	0.2588	14.2619

Framework versions

• Transformers 4.26.0.dev0
• Pytorch 1.12.1+cu113
• Datasets 2.7.1
• Tokenizers 0.13.2