This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_13_0 dataset. It achieves the following results on the evaluation set:

Loss: 0.3983
Wer Ortho: 30.2504
Wer: 23.2648

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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 50
training_steps: 1000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Ortho	Wer
0.0787	2.78	500	0.3445	31.2999	24.2365
0.0145	5.56	1000	0.3983	30.2504	23.2648

Framework versions

Transformers 4.36.2
Pytorch 1.12.0+cu102
Datasets 2.15.0
Tokenizers 0.15.0

BKat/whisper-small-bg

openai/whisper-small-finetuned-common_voice_13_0-bg

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

BKat/
whisper-small-bg