ales/whisper-base-belarusian

Whisper Base Belarusian

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

• Loss: 0.1080
• Wer: 12.2069

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: 0.0001
• train_batch_size: 64
• eval_batch_size: 32
• 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: 6000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.2445	0.17	1000	0.3059	32.4163
0.1823	0.33	2000	0.2004	22.1259
0.1412	0.5	3000	0.1752	20.0700
0.1093	0.67	4000	0.1413	16.0533
0.1137	0.83	5000	0.1155	13.3108
0.0585	1.1	6000	0.1080	12.2069

Framework versions

• Transformers 4.26.0.dev0
• Pytorch 1.13.0+cu117
• Datasets 2.7.1.dev0
• Tokenizers 0.13.2