STT-swedish-lr-decay-model – AI Model by Neprox | AlphaNeural AI

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STT-swedish-lr-decay-model

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Whisper Small - Swedish

This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:

Loss: 0.4915
Wer: 25.5384

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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 6000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.2107	1.3	1000	0.4673	34.0432
0.0821	2.59	2000	0.4284	27.4152
0.0378	3.89	3000	0.4210	25.3637
0.0042	5.18	4000	0.4247	23.5541
0.001	6.48	5000	0.4286	22.7770
0.0106	7.77	6000	0.4915	25.5384

Framework versions

Transformers 4.25.0.dev0
Pytorch 1.12.1
Datasets 2.7.1
Tokenizers 0.13.2