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whisper-small-sv – AI Model by explorall | AlphaNeural AI
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explorall
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whisper-small-sv
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transformers
pytorch
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
hi
mozilla-foundation/common_voice_11_0
openai/whisper-small
finetune
apache-2.0
model-index
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:
Loss: 0.3252
Wer: 97.1848
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: 4
eval_batch_size: 4
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: 4000
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.1496
1.29
1000
0.2950
81.4552
0.0532
2.59
2000
0.2897
63.8219
0.0216
3.88
3000
0.3060
90.6321
0.0044
5.18
4000
0.3252
97.1848
Framework versions
Transformers 4.33.3
Pytorch 2.1.1+cu118
Datasets 2.14.7
Tokenizers 0.11.0
