mikr/whisper-medium-sk-cv11

Whisper Medium Slovak CV11

This model is a fine-tuned version of openai/whisper-medium on the mozilla-foundation/common_voice_11_0 sk dataset. It achieves the following results on the evaluation set:

• Loss: 0.3982
• Wer: 23.1437

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: 64
• eval_batch_size: 32
• seed: 42
• distributed_type: multi-GPU
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 5000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.001	14.29	1000	0.3982	23.1437
0.0013	28.57	2000	0.4343	24.0362
0.0001	42.86	3000	0.4565	23.3222
0.0001	57.14	4000	0.4700	23.3936
0.0001	71.43	5000	0.4753	23.4531

Framework versions

• Transformers 4.26.0.dev0
• Pytorch 1.13.1+cu117
• Datasets 2.7.1
• Tokenizers 0.13.2