Tomas1234/common_voice

Whisper Small lt - Lithuanian

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: 0.3840
• Wer: 32.4971

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: 250
• training_steps: 4000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.3788	0.9	500	0.4432	45.1716
0.2087	1.8	1000	0.3671	37.6456
0.0961	2.7	1500	0.3548	35.5703
0.0479	3.6	2000	0.3609	34.1709
0.0157	4.5	2500	0.3665	33.3400
0.0089	5.4	3000	0.3775	32.7754
0.0038	6.29	3500	0.3826	32.5607
0.0033	7.19	4000	0.3840	32.4971

Framework versions

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