This model is a fine-tuned version of arun100/whisper-base-uk-1 on the google/fleurs uk_ua dataset. It achieves the following results on the evaluation set:

Loss: 0.4710
Wer: 33.5630

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: 2.5e-07
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
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
0.2683	95.0	1000	0.4710	33.5630
0.142	190.0	2000	0.4714	33.8344
0.0871	285.0	3000	0.4782	33.9596
0.0656	380.0	4000	0.4830	33.7230
0.0595	476.0	5000	0.4847	33.7161

Framework versions

Transformers 4.37.0.dev0
Pytorch 2.1.2+cu121
Datasets 2.16.2.dev0
Tokenizers 0.15.0

arun100/whisper-base-uk-2

Whisper Base Ukrainian

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

arun100/
whisper-base-uk-2