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whisper-small-swedish – AI Model by ZinebSN | AlphaNeural AI
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whisper-small-swedish
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
sv
mozilla-foundation/common_voice_11_0
apache-2.0
endpoints_compatible
us
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Whisper Small hi - 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:
eval_loss: 0.2945
eval_wer: 19.7602
eval_runtime: 1248.2292
eval_samples_per_second: 4.061
eval_steps_per_second: 0.508
epoch: 3.88
step: 3000
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
Framework versions
Transformers 4.26.0.dev0
Pytorch 1.12.1+cu113
Datasets 2.7.1
Tokenizers 0.13.2