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whisper-medium-swedish – AI Model by marinone94 | AlphaNeural AI
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whisper-medium-swedish
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transformers
pytorch
whisper
automatic-speech-recognition
whisper-event
generated_from_trainer
hf-asr-leaderboard
sv
mozilla-foundation/common_voice_11_0
babelbox/babelbox_voice
google/fleurs
apache-2.0
model-index
endpoints_compatible
us
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Whisper Medium Swedish
This model is a fine-tuned version of
Whisper Medium Nordic
on the
mozilla-foundation/common_voice_11_0
(train+validation), the
babelbox/babelbox_voice
(NST SV - train split) and the
google/fleurs
(sv_se - train+validation+test) datasets. It achieves the following results on the evaluation set:
eval_loss: 0.2483
eval_wer: 9.8914
eval_runtime: 2924.8709
eval_samples_per_second: 1.733
eval_steps_per_second: 0.108
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: 32
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 250
training_steps: 5000
mixed_precision_training: Native AMP
Framework versions
Transformers 4.26.0.dev0
Pytorch 1.13.1+cu117
Datasets 2.7.1.dev0
Tokenizers 0.13.2
WandB run
https://wandb.ai/pn-aa/whisper/runs/z2lzjx4x?workspace=user-emilio_marinone
