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: 0.4846
Wer: 30.9001

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: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 500
training_steps: 6000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.5133	0.64	500	0.5562	38.3826
0.3764	1.28	1000	0.4754	34.1921
0.3501	1.92	1500	0.4554	32.8509
0.222	2.55	2000	0.4399	32.3844
0.1283	3.19	2500	0.4440	32.0081
0.1575	3.83	3000	0.4295	31.8225
0.1205	4.47	3500	0.4410	31.0459
0.0992	5.11	4000	0.4505	31.1042
0.0941	5.75	4500	0.4551	30.8498
0.0627	6.39	5000	0.4696	31.5999
0.0652	7.02	5500	0.4761	31.8013
0.0573	7.66	6000	0.4846	30.9001

Framework versions

Transformers 4.36.0.dev0
Pytorch 2.1.1+cu118
Datasets 2.15.0
Tokenizers 0.15.0

Sleepyp00/whisper-small-sv-test

whisper-small-test

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Sleepyp00/
whisper-small-sv-test