This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_11_0 lv dataset. It achieves the following results on the evaluation set:

Loss: 0.5621
Wer: 33.1120

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: 5e-05
train_batch_size: 64
eval_batch_size: 32
seed: 42
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
0.0219	16.67	1000	0.6129	41.1575
0.0029	33.33	2000	0.5975	36.1480
0.0003	50.0	3000	0.5626	33.6812
0.0004	66.67	4000	0.5608	33.2827
0.0001	83.33	5000	0.5715	33.8046

Framework versions

Transformers 4.26.0.dev0
Pytorch 1.13.1+cu117
Datasets 2.8.0
Tokenizers 0.13.2

ALM/whisper-lv-small-augmented

Whisper Small Latvian - Robust

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

ALM/
whisper-lv-small-augmented