This model is a fine-tuned version of makhataei/Whisper-Small-Common-Voice on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:

Loss: 0.7217
Wer: 45.6220

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-07
train_batch_size: 10
eval_batch_size: 10
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 40
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
training_steps: 1000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0013	0.15	100	0.7201	45.7700
0.0015	0.31	200	0.7220	45.7908
0.0019	0.46	300	0.7212	45.6382
0.0021	0.61	400	0.7229	45.7630
0.0025	0.77	500	0.7226	45.5943
0.0068	0.92	600	0.7229	46.1213
0.0293	1.07	700	0.7215	45.7075
0.0021	1.23	800	0.7215	45.6290
0.0025	1.38	900	0.7217	45.6151
0.0023	1.53	1000	0.7217	45.6220

Framework versions

Transformers 4.35.2
Pytorch 2.0.1+cu117
Datasets 2.15.0
Tokenizers 0.15.0