whisper-small-sv – AI Model by AdrianHR | AlphaNeural AI

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AdrianHR/
whisper-small-sv

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automatic-speech-recognition

generated_from_trainer

hf-asr-leaderboard

mozilla-foundation/common_voice_11_0

openai/whisper-small

endpoints_compatible

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whisper-small-sv

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: 0.3178
Wer: 112.0916

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: 8
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: 4000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.3164	0.65	500	0.3268	71.7055
0.1574	1.29	1000	0.2951	126.5010
0.1168	1.94	1500	0.2882	62.9857
0.0678	2.59	2000	0.2879	63.6175
0.0341	3.23	2500	0.2999	67.0081
0.0306	3.88	3000	0.2958	78.9842
0.0112	4.53	3500	0.3186	104.4231
0.0082	5.17	4000	0.3178	112.0916

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0