This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_12_0 dataset. It achieves the following results on the evaluation set:

Loss: 0.1483
Wer: 5.6978

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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
training_steps: 1000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.3979	0.77	200	0.2141	9.7635
0.2625	1.54	400	0.1705	7.3636
0.1398	2.31	600	0.1551	6.9636
0.0666	3.07	800	0.1678	6.2043
0.0411	3.84	1000	0.1483	5.6978

Framework versions

Transformers 4.29.0.dev0
Pytorch 2.0.0+cu117
Datasets 2.10.1
Tokenizers 0.13.2

TheRains/output

Whisper small ID - Augmented

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

TheRains/
output